troubleshooting

You have a Conversational Language Understanding (CLU) project in Azure AI Language. Users frequently type utterances such as 'Book a flight from Seattle to Tokyo next Friday for two people.' The solution must extract the origin city, destination city, date, and passenger count as separate structured values so the booking system can act on them. You need to configure the project to capture these values. What should you do?

Refer to the exhibit. You send this request to the Conversational Language Understanding API. The response includes the intent 'BookFlight' with entities 'FromCity: Seattle' and 'ToCity: Boston', but the 'Date' entity is missing. What is the most likely cause?

A company uses Azure AI Language Service with Custom Entity Recognition to extract invoice fields. The model correctly extracts invoice numbers but fails to extract dates in the format 'dd/mm/yyyy'. The training data includes dates in 'mm/dd/yyyy' format. What is the most likely issue?

Which TWO actions can you take to mitigate the risk of generating harmful content when using Azure OpenAI Service? (Choose two.)

Which TWO capabilities are provided by the Azure AI Language service?

A retailer wants to analyze thousands of product reviews per day and needs to know which aspects of the products customers mention, such as battery life or screen quality, and whether sentiment toward each aspect is positive or negative. The reviews are already stored as text in an Azure SQL Database. Which Azure AI Language feature should you use?

You need to restrict access to an Azure AI Language resource so that only a specific virtual network can call the endpoint. Which configuration should you use?

You are building a knowledge mining solution for legal documents stored in Azure Blob Storage. The solution must extract entities, key phrases, and relationships from the documents. Which Azure AI service should you use?

You are testing an Azure OpenAI model with the parameters shown in the exhibit. The model generates very short responses. Which parameter should you modify to allow longer responses?

You are building a custom named entity recognition (NER) model using Azure AI Language. After labeling 200 documents, you train the model and achieve 85% precision but only 60% recall. Which action is most likely to improve recall?

You are using Azure AI Language's custom question answering feature. Your knowledge base contains 500 FAQ pairs. Users report that the bot returns irrelevant answers when their questions are phrased differently from the stored FAQs. You want to improve the bot's ability to match paraphrased questions without retraining a full model. Which action should you take?

You are building a knowledge mining solution for a legal firm to extract clauses from contracts. The contracts are stored as PDFs in Azure Blob Storage. You need to design the solution to minimize cost while ensuring high accuracy for clause extraction. Which approach should you use?

Refer to the exhibit. You called the Named Entity Recognition API on a document. Which entity type is "Seattle"?

You are implementing a Retrieval Augmented Generation pattern with Azure AI Search and Azure OpenAI. Users complain that answers occasionally cite documents the user is not authorized to see, because the index contains all departments' content. You need to restrict retrieval so that each user only receives chunks from documents their identity permits. What should you do?

Your team is building a generative AI application on Azure OpenAI that must call an internal order-lookup REST API whenever a user asks about an order status. The model must decide when to call the API, and the application must execute the call and return the result to the model for the final answer. Which capability should you implement?

You are building a solution that uses Azure AI Language to analyze transcribed call-center conversations. The transcripts are stored as plain text in Azure Blob Storage. You need to identify the specific products, dates, and monetary amounts mentioned in each conversation while distinguishing them from generic nouns. You also need to return the character offset and length for each detected mention so the UI can highlight them. Which Azure AI Language feature should you use?

You are designing an AI solution that uses Azure AI Document Intelligence to extract data from invoices. The solution must handle a high volume of documents with varying layouts. Which approach should you use?

You are designing a solution that must extract personally identifiable information (PII) from medical records stored in Azure Blob Storage. The solution must redact the PII before storing the results. Which combination of Azure services should you use?

You are building an Azure AI Language solution that analyzes customer support emails. You need to detect the language of each email before routing it to the correct translation pipeline. You call the Language Detection API with the following request body: {"kind": "LanguageDetection", "analysisInput": {"documents": [{"id": "1", "text": "Bonjour, je besoin d'aide avec mon compte."}]}}. What will the response contain?

You need to provide a generative AI solution that can answer questions based on a large set of PDF documents stored in Azure Blob Storage. The solution must support natural language queries and return citations from the documents. Which Azure service combination should you use?

You are deploying an Azure AI Language custom text classification model. You need to ensure the model meets performance requirements before promoting it to production. Which two actions should you take? (Choose two.)

A company wants to build a solution that can identify and redact personally identifiable information (PII) from customer support transcripts. The solution must handle multiple languages. Which Azure AI service should be used?

You are creating an Azure AI Search index that will be populated from an enrichment pipeline. You need to ensure that the original content of each document is searchable. Which index field should you map the document content to?

A developer needs to generate a descriptive caption for an image using Azure AI Vision. The image contains a dog catching a frisbee in a park. Which feature of Image Analysis should they use?

A developer is using the Azure AI Vision Image Analysis API to extract text from a photo of a street sign. The sign contains text in both English and Japanese arranged in multiple columns. The developer needs the response to include the detected language and the bounding box for each text line. Which feature should they use?

A financial services firm needs to extract structured fields such as invoice date, vendor name, and total amount from thousands of PDF invoices. The documents vary in layout across vendors. The firm wants a pretrained model that requires no custom training and can return field-level confidence scores. Which Azure AI Document Intelligence model should they use?

You need to build a solution that extracts the main topics discussed in recorded customer service calls. The audio is already transcribed to text, and you must return the most salient phrases without any predefined categories. Which Azure AI Language feature should you use?

You are a data scientist at a healthcare startup. You have deployed a custom object detection model using Azure Custom Vision to detect tumors in MRI scans. The model was trained on 10,000 labeled scans from a single hospital. After deployment, the model performs well on scans from that hospital but poorly on scans from a different hospital with a different MRI machine. The new hospital's scans have slightly different contrast and resolution. The model's precision drops from 0.92 to 0.65, and recall drops from 0.88 to 0.50. You have access to 500 labeled scans from the new hospital. You need to improve the model's performance on the new hospital's data as quickly as possible with minimal effort. What should you do?

You are managing an Azure AI solution that uses Azure OpenAI. You need to ensure that the solution can only be accessed by applications hosted in a specific Azure Virtual Network. The solution must not be accessible from the public internet. What should you configure?

You are deploying an Azure AI solution that uses multiple Cognitive Services resources. You need to ensure that the solution can be deployed to multiple regions and that each region has its own endpoint and key. What should you use to manage the deployment?

A security firm wants to analyze live video from cameras at a warehouse gate to count the number of people entering and leaving. They require a ready-to-use service that provides a real-time count and does not require training a custom model. Which Azure AI service should they use?

Your team is developing an AI-powered document summarization solution using Azure OpenAI. You need to ensure that the solution complies with Microsoft's Responsible AI principles, specifically transparency. Which configuration should you implement?

A company is building an agent that uses Azure OpenAI to answer questions from a large document library. The agent must use a Retrieval Augmented Generation (RAG) pattern. Which TWO actions should the team take to implement RAG effectively?

You are designing a solution that uses Azure AI Vision to extract text from scanned invoices. The invoices vary in layout and include both printed and handwritten fields. The solution must achieve high accuracy with minimal manual labeling. Which approach should you recommend?

Which THREE factors should you consider when choosing between Azure AI Custom Vision and Azure AI Vision pre-built models for an image classification task? (Choose three.)

You see the exhibit representing an Azure Bot resource configuration. The bot is not responding to user messages. What should you verify first?

You are a lead AI engineer for a global retail company. The company is building an AI-powered customer support chatbot using Microsoft Foundry. The chatbot must answer product questions, process returns, and escalate to human agents when needed. The solution uses Azure AI Language for intent recognition and Azure AI Bot Service for bot orchestration. During testing, the chatbot fails to understand customer queries about return policies. The intents 'ProductInquiry' and 'ReturnRequest' are defined, but the model often confuses them. You need to improve intent classification accuracy. The development team has already collected 500 sample utterances for each intent. You have a budget to collect additional data. What should you do?

You are developing a solution that uses Azure AI Video Indexer to analyze surveillance videos for suspicious activity. The solution must generate alerts when a person is detected in a restricted area. Which feature should you use?

You are using Azure OpenAI Service to generate product descriptions. The output is often too verbose. You need to reduce the length of generated text without changing the model. Which parameter should you adjust?

Your company has a large repository of scanned invoices in PDF format. You need to extract invoice number, date, total amount, and vendor name from these PDFs. Which Azure AI service should you use?

Your team is developing a chatbot using Azure AI Bot Service with Language Understanding (LUIS). You need to improve intent recognition for user queries that contain typos. What should you recommend?

A developer wants to use Azure OpenAI to generate text from a prompt. Which parameter controls the diversity of the generated output?

Which THREE are valid parameters when calling the Azure OpenAI Service chat completions API?

A financial services company uses Azure AI Language's custom text classification to categorize loan applications as 'Approved', 'Denied', or 'Review Required'. The model is trained on historical data but is producing poor accuracy on new applications. The data scientist suspects data leakage between training and test sets. What should the data scientist do to validate this?

You are designing an Azure AI solution that uses an Azure AI services multi-service account. The solution must call the service from an Azure Kubernetes Service (AKS) cluster without embedding account keys in application code. You need to configure authentication and authorization so that the workload identity used by the pods can be granted access. (Choose two.)

A healthcare company uses Azure AI Language's custom question answering to build a bot that answers patient FAQs. The knowledge base contains documents with sensitive information. The company needs to ensure that the bot only returns answers from documents that the user is authorized to access. What should they implement?

A company uses Azure Document Intelligence to process purchase orders. They have trained a custom model with 10 labeled samples and deployed it as 'purchaseOrderModel'. When analyzing a new purchase order, the extracted 'TotalAmount' field is often incorrect. The company wants to improve the model's accuracy for this field. What should they do?

You are implementing a generative AI solution using Azure OpenAI Service. The solution must generate responses that are grounded in your organization's proprietary documents and must return citations that link back to the source documents. You need to configure the deployment to meet these requirements. Which two actions should you perform? (Choose two.)

You are deploying a knowledge mining solution using Azure AI Search and Azure AI Document Intelligence. The solution must extract text from scanned documents, identify named entities, and index the content. You need to configure the skillset. Which TWO built-in skills should you include in the skillset?

You are using Microsoft Purview to create a knowledge map of your organization's data assets. The solution must automatically scan and classify sensitive data in Azure Blob Storage. You need to configure the scanning and classification. Which THREE actions should you perform?

You are implementing a knowledge mining solution with Azure AI Search that ingests data from Azure Blob Storage. The pipeline includes a custom skill that calls an external API for specialized entity extraction. The custom skill sometimes returns HTTP 429 (Too Many Requests). How should you handle this to ensure reliable indexing?

A retail company uses Azure Computer Vision to analyze customer traffic in stores. They process images from security cameras using the OCR API to detect product labels. Recently, the OCR accuracy has decreased for images with poor lighting. Which pre-processing step should the company implement to improve OCR accuracy?

An agent uses Azure OpenAI with function calling to perform actions. The agent is not executing functions correctly. Which THREE factors should the team check to diagnose the issue?

You are deploying a question answering solution using Azure AI Language. The solution must be able to provide answers from a set of frequently asked questions (FAQs) in PDF format. What should you do?

Drag and drop the steps to set up Azure AI Content Safety for content moderation into the correct order.

A company uses Microsoft Copilot for Microsoft 365 to automate email responses. They want to ensure that the Copilot responses comply with their data governance policies and do not expose sensitive information. What should they configure?

You are planning a new Azure AI solution that will use several Azure AI services, including Azure AI Vision and Azure AI Language. The solution must allow developers to authenticate by using their Microsoft Entra ID credentials without storing service keys in code. You need to configure the Azure AI services resource to support this authentication method. What should you do?

You are developing a generative AI solution using Azure OpenAI Service. The solution must generate product descriptions based on a set of attributes provided by the user. You need to ensure the output adheres to a specific JSON schema. Which feature should you use to enforce the structure of the model's response?

You are deploying an Azure AI Language resource that will process customer feedback. The resource must be accessible only from a specific Azure virtual network and must allow access from an on-premises network via a site-to-site VPN. You need to configure network security for the resource. What should you do?

You are designing a knowledge mining solution that ingests documents from SharePoint Online and makes them searchable using Azure AI Search. The solution must extract text from images and perform optical character recognition (OCR) on embedded images within PDFs. Which built-in skill should you include in the skillset?

You are responsible for managing costs for multiple Azure AI services in your organization. You notice that provisioned throughput units (PTUs) for Azure OpenAI are not fully utilized. What is the most cost-effective action to optimize spending?

You are building an Azure AI Language solution that ingests support tickets and routes each ticket to the correct department. Each ticket must be assigned exactly one department, and departments are defined only by the examples you label in Language Studio. You need to build the model with the fewest labeling and configuration steps. Which project type and configuration should you use?

You are designing an agent in Microsoft Copilot Studio that must answer questions by using a large corpus of internal policy documents. The agent must provide accurate citations and must not invent policy details. You need to configure knowledge sources and grounding behaviour. Which two actions should you take? (Choose two.)

You are developing an agentic solution that uses Azure AI Agent Service with a custom function calling tool. The agent needs to call a function that requires authentication to an external API. How should you securely pass the API key to the function?

A team is using Azure OpenAI Service to summarize long legal contracts. They observe that summaries sometimes miss clauses located near the end of the document. The contracts are far longer than the model's maximum context window. What should they implement to improve coverage of the entire document?

Your company uses Azure AI Language to analyze customer feedback. You need to extract key phrases from reviews in multiple languages. Which feature should you use?

A financial services company is building an agent that uses Azure OpenAI to generate investment advice. The agent must be monitored for toxicity and bias. Which combination of services should the team use to implement content safety monitoring?

You are building a generative AI chatbot using Microsoft Copilot Studio. The chatbot must answer questions from a PDF document and a SQL database. Which THREE data sources can you configure? (Choose three.)

You see the exhibit from an Azure OpenAI chat completion request. The assistant is not calling the get_weather function when asked about the weather. What is the most likely reason?

Refer to the exhibit. You are troubleshooting an Azure OpenAI API call that is returning incomplete responses. The response stops mid-sentence. Which parameter should you adjust?

You need to extract key-value pairs from a large set of invoices. The invoices have a consistent layout but vary in format (PDF, TIFF). Which Document Intelligence model should you use?

You are building a solution to detect if a person is wearing a hard hat in construction site images. You have a small dataset of labeled images. Which Azure service should you use?

You need to extract entities such as dates, locations, and organization names from unstructured text documents. Which Azure AI service should you use?

You are building a web app that allows users to upload images and receive a list of content tags, such as 'outdoor', 'tree', and 'person'. You want to use a prebuilt Azure AI service and minimize custom development. Which service should you use?

You are deploying an Azure AI Document Intelligence solution to process invoices. The solution must extract line-item details such as product code, quantity, and unit price. Which prebuilt model should you use?

You are deploying a generative AI solution that uses Azure OpenAI Service with your own data stored in Azure AI Search. Users report that answers are sometimes pulled from documents the user is not permitted to see, because the retrieval step searches the entire index. You need to ensure each user only receives answers grounded in documents they are authorized to access, without creating a separate index per user. What should you do?

A retail company uses Azure Computer Vision to analyze in-store camera feeds. They recently added a new product line and updated the object detection model. However, the model fails to detect the new products. What should the company do first?

Which TWO capabilities are provided by Azure AI Language's pre-built entity recognition?

A team is developing a solution to automatically summarize long documents using Azure AI Language. Which feature should they use?

Based on the exhibit, which entity should you focus on improving by adding more labeled examples?

You work for a manufacturing company that uses Azure AI services to automate quality inspection on a production line. You have a Custom Vision object detection model that identifies defects on metal parts. The model was trained on images captured under ideal lighting conditions. However, when deployed in the factory, the model's accuracy drops significantly due to inconsistent lighting and glare. You need to improve the model's robustness without collecting new images from the factory floor. What should you do?

You need to analyze images to detect objects and read text from documents using a single Azure AI service. Which service should you use?

Which TWO actions should you take to ensure that an Azure AI Language Service custom entity recognition model complies with data privacy regulations?

You are designing a solution to extract structured data from a large number of handwritten forms. The forms are scanned and stored as images. Which Azure AI feature should you use?

You are developing an application that processes images of handwritten forms. The forms contain checkboxes that may be checked or unchecked. Which Azure AI service should you use to detect the state of the checkboxes?

You operate a RAG assistant on Azure OpenAI Service that answers questions over a product catalog. The index contains thousands of items, and users complain that answers mix details from unrelated products. You need retrieval to consider semantic meaning and handle paraphrased queries while returning only the most relevant items. What should you implement?

Refer to the exhibit. You submit this request to Azure AI Language's conversational language understanding (CLU) for the 'FlightBooking' project. The model correctly identifies the intent as 'BookFlight' and extracts entities: 'Seattle' as FromCity, 'New York' as ToCity, and 'June 15th' as Date. What is the next step for the application?

You are implementing a RAG (Retrieval-Augmented Generation) solution using Azure AI Search and Azure OpenAI Service. The solution is returning answers that are not relevant to the user query. What is the most likely cause?

You are planning to use Azure AI Content Safety to moderate user-generated content in a social media application. The solution must detect hate speech and self-harm content. Which Content Safety features should you enable?

A developer is building a multilingual chatbot using Azure AI Language. The bot must detect the user's language automatically and route the query to the appropriate language-specific model. Which Azure AI Language feature should the developer use?

You are developing a bot using Microsoft Bot Framework and Azure AI Language. The bot must handle user intents that change mid-conversation. Which feature should you implement?

You are developing an Azure AI Language solution to analyze customer support tickets. Each ticket has a subject and a description. You need to automatically classify tickets into categories (e.g., 'billing', 'technical', 'account') and extract the product name mentioned. You have a labeled dataset of 10,000 tickets with category labels and product name annotations. The solution must be cost-effective and easy to retrain as new categories emerge. You want to use a single Azure AI Language resource. Which approach should you use?

You are building an internal knowledge assistant with Azure OpenAI Service. Responses must be grounded in a curated set of HR policy documents stored in Azure AI Search, and every response must include a citation to the specific source chunk. You already deployed a GPT-4o model and created the search index. You need to add the grounding layer with the least development effort. What should you do?

You notice a spike in errors (HTTP 429) on a specific day. What is the most likely cause?

You run the Azure CLI command shown in the exhibit. After a few minutes, the deployment fails with a quota error. What is the most likely cause?

Refer to the exhibit. You are reviewing a Bicep template for deploying an Azure AI Language resource. After deployment, you need to ensure that the resource uses a private endpoint to block public access. Which additional resource should you include in the template?

An agent built with Azure AI Foundry Agent Service performs a long-running operation by calling a function tool that starts a batch job. The batch job can take up to 30 minutes, and the agent currently times out because the function tool waits for completion. The team wants the agent to continue the conversation after the job finishes. Which pattern should the team implement?

You are deploying an Azure AI solution that uses multiple Azure AI services. You need to monitor the solution and receive alerts when the service quota for transactions per second (TPS) is exceeded. What should you use?

A university is developing an app for students to take photos of handwritten notes and convert them to digital text. The app must support multiple languages including English and Spanish. The solution should use a pre-built AI service. Which Azure service should you use?

Which TWO actions should you take to reduce the latency of an Azure AI Computer Vision OCR call on a large image?

Which THREE are valid uses of Azure AI Vision Image Analysis 4.0? (Select three.)

You are developing a generative AI application that must comply with responsible AI principles. Which Azure AI service should you use to detect and filter harmful content in both input prompts and output responses?

You are building a custom text classification solution in Azure AI Language. You have a dataset with 10 categories and 1000 labeled documents. You need to choose the best project type. What should you use?

You are deploying a conversational AI solution using Microsoft Copilot Studio. The solution must comply with organizational data loss prevention (DLP) policies by preventing sensitive data from being sent to the underlying Azure OpenAI model. What should you configure?

Your team is building an internal knowledge assistant with Azure OpenAI Service. Legal requires that every generated answer include a traceable reference to the source document so reviewers can verify claims. The documents already live in Azure AI Search, and you want the service to return citation metadata alongside the generated text. Which feature should you configure?

Which TWO components are required to create a custom text classification model in Azure AI Language?

Your Azure AI Language custom entity recognition model incorrectly extracts 'Microsoft' as an organization when it refers to the company, but fails to extract 'Microsoft' as a product when it refers to the software. How should you improve the model?

A company wants to build a conversational interface that can understand user intents and extract key information from utterances, such as booking a flight to a specific city on a specific date. They need to implement this using Azure AI Language. Which feature should they use?

You are a developer at a global e-commerce company. You are building a multilingual chatbot using Azure AI Language that supports English, French, German, and Spanish. The chatbot must answer frequently asked questions about order status, returns, and shipping. You plan to use Custom Question Answering with a single project containing questions and answers in all four languages. However, during testing, you notice that queries in French and German often return incorrect answers or no answer, while English and Spanish work well. You need to ensure accurate answers across all four languages. What should you do?

You are designing a solution that reads handwritten notes from patient intake forms. The solution must handle various handwriting styles. Which Azure AI capability should you use?

You are designing a generative AI solution using Azure OpenAI Service. The solution must support multiple languages and provide consistent quality across languages. Which THREE actions should you take?

You need to analyze customer call transcripts to identify positive and negative sentiment. Which Azure AI Language feature should you use?

A company uses Azure AI Search to index customer support tickets. They need to automatically extract key phrases from each ticket to improve search relevance. Which built-in skill should they add to the skillset?

You are building an Azure AI Search knowledge mining pipeline that enriches PDF documents with key phrases. The enrichment must be applied after text extraction and before the data is written to the index. You need to ensure the enriched key phrases are available for downstream skills and are mapped to an index field. Which component of the skillset defines the output of the Key Phrase Extraction skill and its mapping to the index?

You need to generate a summary of a long article using Azure OpenAI. The article is 10,000 tokens long. What should you do to fit the article within the model's context window?

Your company is building a knowledge base for customer support using Azure AI Search. You have a large dataset of customer emails stored in Azure Blob Storage. The solution must extract key phrases, detect sentiment, and identify customer intents (e.g., complaint, inquiry, feedback). You plan to use built-in AI skills for key phrase extraction and sentiment detection. For intent identification, you need a custom solution because the intents are specific to your business. You have trained a custom Language Understanding (LUIS) model and published it. How should you integrate the LUIS model into the Azure AI Search enrichment pipeline to extract intents?

You deploy a GPT-4o model in Azure OpenAI Service for an internal assistant that summarizes long contracts. Legal requires that every generated summary be traceable to the exact source passages and that the assistant never answer from general world knowledge. You need the model to ground each statement in retrieved text and expose the supporting passages to the caller. What should you configure?

You are designing an Azure AI solution that uses an Azure OpenAI resource. The solution must allow developers to call the model from a web app without embedding API keys in client-side code. You need to ensure that the web app can authenticate to the Azure OpenAI resource. What should you implement?

You are building a generative AI application with Azure OpenAI Service. The application must generate responses that are grounded in a specific set of internal documents stored in an Azure AI Search index. You want to use the built-in 'On Your Data' feature. Which configuration parameter should you set to ensure the model retrieves relevant documents before generating a response?

You are a solution architect at a news agency. The agency publishes thousands of articles daily. You need to build a knowledge mining solution that enables journalists to search for articles by topic, sentiment, key people, and locations mentioned. The articles are stored as HTML files in Azure Blob Storage. The solution must also provide a summary for each article. You plan to use Azure AI Search with cognitive skills and Azure OpenAI. Which combination of skills and features should you include to meet all requirements with the best performance and accuracy?

Which TWO Azure AI services can be used to extract text from images?

A legal firm uses Azure AI Language's custom NER to extract party names, dates, and clauses from contracts. The model performs well on English contracts but poorly on French contracts. The firm wants to improve performance without retraining from scratch. What is the most efficient approach?

You are building an internal assistant on Azure OpenAI that must stream responses to a React web app while hiding the model endpoint key from the browser. The app already authenticates users with Microsoft Entra ID. You need the least-privilege approach that keeps the key out of client code. What should you do?

Which THREE components are part of the Azure AI Bot Service?

You are deploying a computer vision model using Azure AI Custom Vision with a small dataset of 200 images per class. The model shows high accuracy on training data but low accuracy on test data. Which action should you take to reduce overfitting?

You are designing an Azure AI Search enrichment pipeline that processes scanned PDF invoices stored in Azure Blob Storage. You need to extract both printed text and handwritten notes from the documents before sending the content to an Azure AI Language entity recognition skill. The solution must minimize development effort and cost. Which skill should you add to the skillset?

Your application needs to determine whether two photos of the same person are of the same individual, even if they are from different angles. Which Azure AI service should you use?

You are using Azure AI Document Intelligence to process a large batch of PDF forms. The forms have varying layouts and handwriting. You need to extract text and key-value pairs. Which custom model type should you train?

You are deploying a generative AI assistant on Azure OpenAI Service that must summarize user-supplied financial reports. Security policy requires that report contents never leave your Azure tenant and that the model must not be fine-tuned. You need to provision the resource so that prompt and completion data are not retained for human review and are not used to train any shared model. What should you configure?

You are using Azure AI Custom Vision to detect defects in fabric rolls. After training an object detection model, you notice that it often misses small tears. You have a large dataset of labeled images, but the tears are very small relative to the image size. What should you do to improve the model's detection of small tears?

You are building a chatbot using Azure AI Bot Service and Language Service. The bot must recognize user intent for 'check order status'. How should you configure the Language Service?

You are deploying an Azure AI Language service solution for a multilingual customer support chatbot. The solution must support real-time translation between English, Spanish, and French. Which Azure resource should you provision?

You are using Azure OpenAI Service to generate marketing copy. You notice that the output sometimes contains factual inaccuracies about your company's products. Which action can you take to improve factual accuracy?

Which TWO Azure AI services can be used to detect objects in images?

Your company uses Azure AI Search to power a customer support portal. The search index includes product documentation and known issues. Recently, the portal's search performance has degraded, and users report slow response times. You need to identify the cause of the performance issue. What should you check first?

Which THREE factors should you consider when choosing between Azure OpenAI Service and Azure Machine Learning for deploying a generative AI model?

A company uses Azure Custom Vision to classify images of defective parts. After deploying the model, the accuracy is low. The team only has 10 images per class. What is the most effective way to improve accuracy?

You are designing an NLP solution to analyze legal documents. The solution must identify specific clauses and parties involved. Which Azure AI service is most appropriate?

Which TWO features of Azure AI Search allow you to improve the relevance of search results for users?

You are deploying a custom text classification model using Azure AI Language. The model must be retrained monthly with new labeled data. You need to automate the retraining process with minimal manual intervention. Which approach should you use?

A logistics company uses an Azure AI Search indexer to process bills of lading stored in Azure Blob Storage. The indexer uses a skillset with a ShaperSkill that builds a complex object named 'shipment' containing nested fields for carrier, origin, and destination. After a full index run, queries for the carrier field return no results even though the source documents contain the data. You need to make the carrier value searchable. What should you do?

You are designing a solution that uses Azure AI Language to analyze customer feedback. The solution must detect sentiment, extract key phrases, and identify named entities. Which feature should you use?

A company uses Azure AI Search to index documents from an Azure SQL Database. They have configured an indexer with a skillset that includes a custom skill hosted in an Azure Function. The custom skill enriches each document with a 'category' field. After running the indexer, they notice that the 'category' field is missing in the index for all documents. The Azure Function logs show that it is receiving requests and returning responses. What is the most likely cause?

You are developing an agent by using the Azure AI Foundry Agent Service. The agent must query a proprietary internal REST API that returns JSON data. The API requires an OAuth 2.0 access token for authentication. You need to configure the agent to call this API. What should you do?

Refer to the exhibit. You have created an assistant with the above configuration. When you send a message 'What is the weather in Seattle?', the assistant responds without calling the function. What is the most likely cause?

Which TWO actions are required to enable a custom chatbot built with Azure OpenAI to answer questions based on a company's internal PDF documents?

Which TWO are valid ways to manage cost when using Azure OpenAI Service in a production application?

A company uses Azure Content Moderator to moderate text in a chat application. They want to automatically reject messages that contain profanity or personal data. Which API should they use?

Your organization wants to implement a document processing pipeline that extracts text from scanned PDFs and identifies named entities. Which two Azure AI services should you use?

Refer to the exhibit. You have created a Text Analytics resource and retrieved its keys. You want to use the key1 to call the Sentiment Analysis API from a Python application. Which endpoint URL should you use?

Your organization has a large corpus of legal documents stored in Azure Blob Storage. You need to build a solution that allows lawyers to ask natural language questions and get answers directly from the documents, without moving data out of Azure. Which service should you use?

A company wants to build a customer support agent using Microsoft Copilot Studio. The agent needs to understand natural language and handle complex queries beyond simple keyword matching. The agent should be able to escalate to a human agent when it cannot resolve the issue. Which feature should the agent use to understand natural language?

Refer to the exhibit. You are deploying an Azure AI Services resource using an ARM template. After deployment, you cannot access the resource from any client, including the Azure portal. What is the most likely cause?

You are using Azure AI Language to analyze customer reviews. You need to determine whether each review expresses a positive, negative, or neutral sentiment. Which API should you call?

You are testing an Azure OpenAI Service chat completion with function calling. The assistant returned null content and a tool call. What does this indicate?

A company uses the Computer Vision Image Analysis API to generate captions for images. The captions are often too generic. How can they improve the descriptiveness of captions?

You are developing a chatbot that uses Azure AI Language to understand user intents. The chatbot must handle multiple languages and direct users to the appropriate support team based on the detected intent. Which Azure AI Language feature should you use?

You are building a conversational AI system using Azure OpenAI Service. The system must maintain context across multiple user turns. Which parameter determines how many previous messages are considered for the next response?

You need to build a solution that detects whether a person is wearing a hard hat in a construction site image. Which Azure AI service should you use?

You need to enforce that only users from your Microsoft Entra ID tenant can call your Azure AI Language API endpoint. Which security mechanism should you configure?

Which THREE Azure AI services can be used to extract text from images?

Which TWO actions should you take to ensure that a generative AI model deployed on Azure Machine Learning is compliant with data privacy regulations?

You are using the Azure AI Language service to process customer reviews. You need to extract the following insights: overall sentiment, key phrases, and entity types (such as product names). Which THREE operations should you call?

You executed the Azure CLI command to list Azure OpenAI resources. You need to programmatically access the endpoint of the resource named 'gpt4' in a script. What is the most reliable way to extract the endpoint?

You are using Azure AI Content Safety to moderate user-generated content in a social media app. The solution must detect and block hate speech and self-harm content in real time. Which Content Safety feature should you use?

Refer to the exhibit. You are defining a custom entity recognition model in Azure AI Language. The exhibit shows a partial configuration. What is the relationship between 'Laptop' and 'Electronics'?

Your team is using the Azure OpenAI Batch API to process 200,000 product-description rewrites overnight. The job must complete within a fixed window and cost as little as possible, and results are not needed interactively. A developer reports that the submitted batch job failed with an error about the input file. What is the most likely cause?

A company uses Azure AI Language's custom text classification to categorize support tickets. The model was trained with 5000 labeled examples and achieves 90% accuracy. However, for a specific category (e.g., 'billing'), the model frequently misclassifies tickets that contain both billing and technical issues. Which action should you take to improve classification for this category?

You are planning an Azure AI solution that uses Azure OpenAI. You need to ensure that the solution can be deployed to multiple regions for high availability. The solution must automatically route requests to the nearest available region and fail over if a region becomes unavailable. What should you use?

You need to monitor the performance of an Azure AI Language service custom entity recognition model. Which metric should you track to evaluate the model's ability to correctly identify entities?

You are a solution architect at a media company. The company uses Azure AI Speech to generate subtitles for videos. The current solution uses the batch transcription API and takes several hours to process a 1-hour video. The business requires near-real-time subtitles for live streaming events. You need to design a new solution that provides low-latency transcription. You have the following options: Option A: Use the batch transcription API with a higher priority queue. Option B: Use the Speech-to-text REST API for real-time streaming with the Speech SDK. Option C: Use the Azure AI Language API to transcribe audio from a file. Option D: Use Azure AI Video Indexer to generate subtitles.

You are building an Azure AI Search enrichment pipeline that must extract text and layout information from scanned PDFs stored in Azure Blob Storage. The extracted content must include bounding boxes for each text line so that a downstream custom skill can associate key-value pairs spatially. You need to add a built-in skill to the skillset to perform this extraction. Which skill should you add?

A company is using Azure OpenAI to generate customer support responses. They want to ensure the model does not use any personally identifiable information (PII) in its outputs. What should they implement?

You are using Azure OpenAI Service to summarize customer emails. The summaries must be concise and contain only key information. Which prompt engineering technique should you apply?

Your Azure AI solution uses multiple AI services including Computer Vision and Language. To reduce costs, you want to share a single key and endpoint across services. Which Azure resource type should you deploy?

You are developing a generative AI application that uses Azure OpenAI Service to summarize large documents. The application experiences high latency when processing requests. You need to reduce the latency without changing the model. What should you do?

A company uses Azure AI Language Service for custom text classification. The model is trained to classify support tickets into categories. After deployment, the model performs well on the test set but poorly on new incoming tickets. Which action should be taken to improve generalization?

You are designing a solution that uses Azure AI Vision to analyze images uploaded by users. You need to extract text and also generate a descriptive caption for each image. You want to use the Image Analysis API. Which two capabilities should you enable? (Choose two.)

You need to analyze customer feedback to determine whether the sentiment is positive, negative, or neutral. Which Azure AI service should you use?

Which TWO actions should you take to optimize a custom text classification model in Azure Cognitive Service for Language?

You are planning to deploy an Azure AI Content Safety solution. What is the primary requirement for using the service?

You are planning an Azure AI solution that will process documents containing personal data. The solution uses Azure AI Document Intelligence and Azure OpenAI in the same subscription. Corporate governance requires that data processed by these services never leave a specified geographic region and that you can audit which operations were performed on the data. You need to select a deployment approach that meets these requirements with the least administrative effort. What should you do?

You are building an agent using Microsoft Copilot Studio to handle customer returns. The agent must collect the order ID, reason for return, and then provide a return shipping label. The process requires the user to provide information step-by-step. Which type of conversation flow should you implement?

You are building a generative AI solution with Azure OpenAI Service that uses the GPT-4 model. The solution must process user requests and call external APIs to retrieve real-time data. You need to ensure the model can invoke the correct API based on user intent and return the results in a structured format. Which feature should you implement?

Which THREE factors should be considered when choosing a region for deploying Azure AI services?

You are building an Azure AI Vision solution that analyzes live video from a camera mounted on a delivery truck. The solution must read street signs in real time and return the recognized text with bounding box coordinates. You need to minimize latency and cost. Which Azure AI Vision feature should you use?

Which TWO Azure AI services can be used to build a conversational chatbot that uses generative AI? (Choose two.)

You are creating an Azure AI Search solution that must extract named entities such as people, organizations, and locations from text documents. You want to use a built-in cognitive skill to perform this extraction during indexing. Which skill should you add to the skillset?

A logistics company uses Azure AI Vision to analyze images of packages on conveyor belts. They need to detect damaged packages and read tracking numbers. The solution must process high throughput (1000 images per minute) with low latency (<500ms per image). The images are captured by fixed cameras. Which approach should you recommend?

You are designing an Azure AI solution that uses Azure AI Search. The solution must ensure that only authorized users can query the search index, and that users can only access documents they are permitted to see. You need to implement document-level access control. What should you do?

Your Azure AI Document Intelligence model is failing to extract tables from scanned PDFs. The PDFs are low-quality images. What should you do first?

A research organization uses Azure AI Language to process large volumes of scientific papers. They need to extract specific entities such as gene names, protein names, and chemical compounds. The entity types are highly specialized and not covered by prebuilt models. The organization has a labeled dataset of 10,000 documents. You need to recommend the most efficient approach to build the entity extraction solution. What should you do?

You are developing a solution that uses Azure OpenAI to generate customer support responses. You want to prevent the model from repeating the same phrases. Which parameter should you adjust?

Refer to the exhibit. You are calling the Azure AI Language NER API. The response returns no entities. What is the most likely reason?

You have an Azure AI Vision resource named MyVisionService. You run the above Azure CLI command and get the keys. Your application uses key1 for authentication. You need to rotate the keys without downtime. What should you do?

You are creating an Azure AI Search index for a knowledge mining solution. The index must support searching for documents by a required category field that can have one of five predefined values, and you want to enable faceted navigation on that field. Which index field configuration should you use?

You are building an Azure AI Search solution that enriches documents by detecting the language of each document and then routing content to language-specific analyzers. You add a LanguageDetectionSkill to the skillset and want the detected language code to be available to downstream skills and to be stored in the index. The detected language must be mapped to a field named 'languageCode' in the index. What should you do?

Which TWO options are valid ways to index content from Azure SQL Database into Azure AI Search? (Select TWO.)

A company plans to deploy a Copilot Studio agent to Microsoft Teams. The agent should be available to all employees in the company. The security team requires that only authenticated users from the company's Microsoft Entra ID tenant can access the agent. Which channel configuration should be used?

A company is building a computer vision solution using Azure AI Vision to analyze images of retail shelves. The solution must detect product presence and read expiration dates. Which TWO Azure AI Vision features should be used?

You are configuring an Azure AI Search indexer to process documents from Azure Blob Storage. The documents include PDFs and Microsoft Word files. You need to extract both text and metadata such as author and creation date. Which indexer configuration should you use?

You are reviewing an ARM template for deploying Azure OpenAI Service. The template includes a deployment for gpt-35-turbo with a capacity of 100. You need to ensure that the deployment uses provisioned throughput instead of standard. What should you modify?

Refer to the exhibit. A developer is configuring a QnA Maker skill for a bot. The skill fails to respond to queries. What is the most likely issue?

Your organization is using Azure AI Search with semantic ranking. Users report that search results are not showing relevant documents at the top. You need to improve relevance. What should you configure?

You are building a question answering solution using Azure AI Language. You have a set of frequently asked questions (FAQs) in a Word document. You need to import the FAQs into a project. Which approach should you use?

You are creating an Azure AI Search index that will store documents enriched with key phrases and sentiment scores. You need to define the index fields to store these enriched values. The key phrases should be searchable and retrievable, and the sentiment score should be filterable and sortable. Which field definitions should you use?

A company is using Azure AI Vision to analyze images from a manufacturing line. The solution must detect defects in real-time. The team discovers that the model's accuracy drops significantly when images are captured under different lighting conditions. What is the best approach to improve the model's robustness?

You are developing a solution to detect defects on a manufacturing assembly line using computer vision. The solution must classify images as 'defective' or 'non-defective'. You have a limited set of labeled images (500 per class). Which approach should you recommend?

Your organization uses Azure AI Language for custom text classification. You have deployed a model to a dedicated endpoint. After updating the training data, you retrain and redeploy the model. Users report that the endpoint still returns predictions from the old model. What is the most likely cause?

Your team is building a custom question-answering solution using Azure AI Language. The solution must be able to answer questions based on a set of PDF documents. You need to import the documents and create a knowledge base. What should you do first?

Which THREE factors should be considered when choosing between Azure AI Language's pre-built sentiment analysis and custom sentiment analysis for a specialized domain?

You are building a generative AI application with Azure OpenAI Service. The application must use your own product catalog data stored in an Azure AI Search index to ground model responses. You need to configure the model deployment so that retrieved documents are automatically injected into the prompt without you manually assembling the context in application code. What should you configure on the model deployment?

You are developing a generative AI application using Azure OpenAI Service. The application must generate summaries of customer emails and then extract action items. You want to minimize the number of API calls and ensure the model outputs structured JSON. What should you do?

A company wants to build a solution that summarizes long support call transcripts into concise paragraphs. The transcripts are stored as plain text in Azure Blob Storage. You plan to use the summarization feature in Azure AI Language. Which summarization type should you use to generate a short paragraph that captures the main points of each transcript?

Which THREE actions should an engineer take when deploying a custom question answering project in Azure Cognitive Service for Language?

Refer to the exhibit. You deployed a custom model for Language service. Which command should you run to check if the deployment is ready to accept inference requests?

You are designing an Azure AI solution that uses multiple Azure AI services, including Azure AI Vision and Azure AI Language. You need to ensure that the solution can be deployed in a way that minimizes latency between services and provides a single endpoint for management. What should you use?

Your team develops a document translation solution using Azure AI Translator. The solution must translate documents while preserving formatting and layout. Which feature should you use?

You are designing a knowledge mining solution for a medical research organization. The solution must extract relationships between drugs, diseases, and genes from scientific articles. The data will be stored in a knowledge graph for querying. Which Azure AI service should you use for the extraction?

You are building a solution that analyzes customer feedback in real-time using Azure AI Language. The feedback is streamed from a web app and must be processed within 1 second. You need to extract sentiment and key phrases. Which service should you use?

You are designing an agent that uses Azure AI Search as a knowledge store. The agent must handle multiple languages. Which feature should you configure in Azure AI Search to ensure the agent retrieves relevant results for queries in different languages?

You are using Microsoft Copilot Studio to create an agent that handles customer support. The agent needs to understand the user's intent from free-text input. Which feature should you use to map user utterances to specific topics?

Drag and drop the steps to configure an Azure AI Search index with a custom skill into the correct order.

You are designing an enterprise search solution using Azure AI Search. The solution must index data from multiple sources: SQL Database, SharePoint Online, and custom REST APIs. The search index must support faceted navigation and filtering by metadata such as department and document type. You also need to ensure that updates to source data are reflected in the index within 5 minutes. Which approach should you use?

Which THREE components are required to build a custom skill for Azure AI Search enrichment?

Refer to the exhibit. You are reviewing the configuration of an Azure OpenAI Service resource. The resource is configured with customer-managed keys for encryption. What is the primary benefit of this configuration?

You are building a solution to automatically tag images uploaded to an Azure Storage blob container using Azure AI Vision. The solution must process images as soon as they are uploaded. Which service should you use to trigger the image analysis?

You need to monitor usage and costs of your Azure OpenAI Service deployments. Which Azure tool should you use?

You need to translate a large volume of documents from English to French while preserving the original formatting. Which Azure service should you use?

You are building a knowledge mining solution using Azure AI Search with AI enrichment. Which TWO built-in skills can be used to extract information from images embedded in documents?

You are a developer at an e-commerce company. The company wants to build a product search feature that allows customers to search for products using natural language phrases like "red running shoes under $100". The product catalog is stored in Azure Cosmos DB and includes product descriptions, prices, and categories. The solution must use Azure AI Search and must extract entities from product descriptions to enable filtering (e.g., color, size, brand). The search must also support fuzzy matching for misspelled queries. You need to design the indexing pipeline. Which actions should you take?

A company wants to build a mobile app that recognizes and tags landmarks in photos taken by tourists. They need a prebuilt model that requires no training and can identify thousands of famous places worldwide. Which Azure AI Vision feature should they use?

Your organization uses Azure AI Document Intelligence to extract data from invoices. The extraction accuracy for total amounts is low. You have a labeled dataset of 500 invoices. You need to improve the model's accuracy for the 'total amount' field. What should you do?

A law firm uses Azure Document Intelligence to extract clauses from legal contracts. They have a custom model trained on 15 labeled contracts. The model extracts clauses with high confidence on similar documents but fails to extract correct clauses from a new batch of contracts that have a different font and layout. The firm needs to improve extraction accuracy without retraining the model from scratch. The solution must minimize manual effort and cost. What should they do?

You are responsible for an Azure AI multi-agent system built on Microsoft Foundry. The system experiences frequent timeout errors when agents call external APIs. You need to implement a resilient pattern. What should you do?

You are developing a solution that uses Azure AI Vision to analyze images of products on an assembly line. You need to detect whether each product has a specific logo and also read the serial number printed on it. Which two Azure AI Vision services should you use? (Choose two.)

Match each Azure AI feature to the service that provides it.

Your organization has a large set of PDF invoices stored in Azure Blob Storage. You need to extract line-item details (product names, quantities, prices) and store them in Azure SQL Database for downstream reporting. The invoices have varied layouts. Which Azure AI service should you use?

A company is building an agent by using Azure AI Foundry Agent Service. The agent must use a file search tool that references a 400-page product manual stored as an uploaded file. The team wants the agent to retrieve relevant passages without you writing chunking or embedding code. Which tool should you configure?

A security company uses Azure AI Face API to analyze surveillance footage. They need to detect faces in low-light images and obtain face bounding boxes, but they do not need to identify individuals. They also want to minimize cost and avoid unnecessary features. Which Face API operation should they call?

You are designing a knowledge mining solution that must extract tables from scanned invoices stored in Azure Blob Storage and make the table cells searchable. The invoices are in PDF and JPEG formats. Which Azure AI service should you use to extract the tables before loading the data into Azure AI Search?

Which THREE factors should you consider when choosing between a pre-built model and a custom model in Azure AI Language?

You need to analyze videos stored in Azure Blob Storage to detect objects and generate timestamps. Which Azure service should you use?

You need to use Azure AI Language to analyze customer feedback. Which THREE analysis types are available in the Text Analytics API?

You run the Azure CLI command shown in the exhibit to create an online endpoint for a generative AI model. The deployment fails because the selected VM instance type is not available in the East US region. Which action should you take to resolve the issue?

You are using Azure AI Language to perform entity recognition on customer feedback. You need to identify the sentiment expressed towards specific entities. Which feature should you use?

You are building a generative AI application using Azure OpenAI Service. The application must provide factual answers based on your company's internal knowledge base. You need to minimize the risk of the model generating incorrect information (hallucinations). Which approach should you take?

A developer is creating an agent in Azure AI Foundry Agent Service and wants the agent to remember a user's stated preferences across separate conversations that occur days apart. The agent definition already includes a model deployment and instructions. What should the developer add to persist this context?

You are building a custom question answering solution using Azure AI Language. The knowledge base contains a large number of question-answer pairs. You need to ensure that the solution returns the most relevant answer for a user's query, even when the query contains synonyms not present in the knowledge base. What should you do?

A company is deploying a solution using Azure AI Vision to analyze images of products on a retail website. They need to ensure that the image analysis is performed within a specific geographic boundary for data residency compliance. What should they configure?

You are building an Azure AI Search enrichment pipeline that extracts key phrases from documents stored in Azure Blob Storage. The documents are plain text files in English. You need to add a built-in skill that identifies the main concepts in each document without writing custom code. Which skill should you use?

Your Azure AI Search index is experiencing high query latency. You have enabled semantic search and custom scoring profiles. You need to reduce latency without degrading search quality. Which action should you take?

You are developing a solution that uses Azure AI Language to analyze customer feedback. You need to determine whether the sentiment of a given sentence is positive, negative, or neutral. Which Azure AI Language feature should you use?

You are deploying an Azure AI solution that uses Azure AI Language and Azure AI Vision. You need to ensure that the solution can be deployed repeatedly to multiple environments with consistent configuration and that secrets are managed securely. (Choose two.)

You are building an ASP.NET Core web app that must analyze the sentiment of user-submitted product reviews in real time. The app is deployed to an Azure App Service web app. You want to avoid managing API keys in code and prefer to use the app's managed identity for authentication to the Azure AI Language resource. What should you do to enable the app to call the sentiment analysis API securely?

A company is building a knowledge mining solution using Azure AI Search. They need to extract key phrases from a large set of documents in multiple languages. Which skill should they add to the skillset?

Your company uses Azure Cognitive Search to index millions of documents. Users report that search results include irrelevant documents. You need to improve search relevance by boosting documents that contain the search term in the title field. Which scoring profile configuration should you use?

You manage an Azure AI Search solution that indexes documents from Azure Blob Storage. The index must support real-time updates when documents are added or modified. Which approach should you use?

A development team is using Azure Cognitive Service for Language to extract key phrases from customer reviews. They notice that some reviews are not being processed, and the API returns a 400 error code. What is the most likely cause?

You are developing an Azure AI solution that uses Azure Cognitive Search. The solution must index documents from an Azure Blob Storage container. You need to ensure that the indexer can access the Blob Storage container securely without storing credentials in the indexer definition. What should you do?

You are developing a chatbot for a retail company using Azure AI Language's custom question answering. The chatbot must provide answers from a knowledge base of 500 FAQ documents. Users often ask the same question in different wording, and the chatbot fails to return an answer for paraphrased queries. What is the most effective solution?

A logistics company receives shipping manifests as PDF documents. They need to extract the shipper name, consignee, and total weight from each document. The documents have a consistent layout. Which Azure AI service should they use?

You are building an Azure AI Search solution to index a collection of technical manuals. Users need to find documents by searching for specific terms and also have the ability to filter by document category. Which feature should you configure in the index to support filtering?

Your organization needs to monitor Azure AI services for unusual activity patterns that might indicate a security threat. Which Microsoft security solution should you use?

You are deploying a generative AI chat application that calls an Azure OpenAI model deployment. The application must stream partial completions to the browser as tokens are produced and must reduce perceived latency for long answers. Which two request options should you configure? (Choose two.)

You are managing an Azure AI solution that uses Azure OpenAI and Azure AI Search. You need to ensure that the solution can be deployed to multiple environments with different configurations while minimizing manual steps. Which two actions should you take? (Choose two.)

A company wants to use Azure AI Translator to translate customer emails from English to French. They need to ensure that the translation preserves the tone and formality of the original text. What should they configure in the request?

You need to summarize a large document using Azure AI Language. Which feature should you use?

You are designing a solution to detect brand logos in social media images. The logos vary in size and orientation. You need to achieve high accuracy with minimal false positives. Which approach should you recommend?

You are testing an Azure OpenAI chat completion. The response shown in the exhibit is returned. What does the finish_reason of 'content_filter' indicate?

Match each Azure Cognitive Search skill to its capability.

You are architecting an Azure AI solution that uses Azure AI Language to analyze text for sentiment and key phrases. The solution must handle bursts of up to 500 requests per second but average only 50 requests per second. You need to ensure cost efficiency while meeting performance requirements. Which THREE actions should you take?

Your company is deploying an Azure AI solution that uses multiple AI services. You need to ensure that all API calls are authenticated securely using managed identities. Which of the following steps is required to enable managed identity authentication for an Azure AI service?

A healthcare portal must summarize patient feedback stored in Azure Blob Storage. Documents are plain UTF-8 text and the summaries must be generated without sending content to a public endpoint. You are building the pipeline with Azure AI Language and a private network. Which configuration should you use to call extractive summarization while meeting the network requirement?

You plan to deploy a custom named entity recognition (NER) project in Azure AI Language. The project must extract supplier names and contract identifiers from procurement documents. You need to prepare the project so that the model can be trained and evaluated before deployment. Which two actions should you perform? (Choose two.)

You run the Azure CLI command 'az search indexer list --search-service mysearch --query "[].{name:name, status:status, lastResult:lastResult}"' and get the above output. Your indexer shows 5 warnings. What should you do to investigate the warnings?

A company is deploying an agent built with Azure AI Foundry Agent Service to production. The agent must log all interactions for auditing and compliance. The team needs to capture the full conversation history, including tool calls and their results. Which approach should they use?

You are deploying an Azure AI solution that uses Azure AI Search. The solution must be able to access the search service from an Azure virtual network without traversing the public internet. You need to configure the search service to meet this requirement. What should you do?

A company uses Azure AI Vision Image Analysis to generate captions for product photos. The solution must return a caption in English and a confidence score for each image. You call the Image Analysis API with the caption feature. The response does not include a confidence score. What should you do to obtain confidence scores for the captions?

You are creating an agent in Microsoft Foundry that answers questions about internal HR policies. The policy documents are already indexed in Azure AI Search, and you want the fastest path to a working agent without writing retrieval code. What should you do first?

A company uses Microsoft Copilot Studio to create an agent that helps employees schedule meetings. The agent must access the user's calendar to find free time slots and book meetings. The agent should only work for users who have granted consent. Which authentication and authorization approach should be used?

You are responsible for an Azure AI solution that uses Custom Vision to classify manufacturing defects. The model must achieve high recall to avoid missing defects. The current model has high precision but low recall. Which action should you take?

You are implementing a conversational language understanding (CLU) project in Azure AI Language. Your utterances include entities that are sometimes a single word and sometimes a multi-word phrase, such as 'New York' and 'San Francisco'. You need the model to correctly capture these multi-word entities during training and prediction. Which entity component type should you use?

A developer is building a generative AI application with Azure OpenAI Service. The application must stream partial responses to users as tokens are generated, rather than waiting for the complete response. Which parameter should the developer set in the chat completion request?

You are using Azure OpenAI Service to generate product descriptions. You notice that the model occasionally outputs descriptions that contain factual inaccuracies about product specifications. You want to reduce these hallucinations without changing the model. What should you do?

Your team is building a mobile app that uses Azure Custom Vision to classify plant species. The app must work offline and sync labeled images when connectivity is restored. Which SDK feature should you use?

A developer is building an agent using the Microsoft Bot Framework SDK in C#. The agent must authenticate users via Microsoft Entra ID and maintain state across conversations. The solution must store user preferences (e.g., language, timezone) in Azure Cosmos DB. Which state management approach should the developer use?

Your organization uses Microsoft Entra ID for identity management. You are building an AI solution that uses Azure AI Vision to analyze images. The solution must use managed identities to authenticate to the Vision resource. Which RBAC role should you assign to the managed identity?

You are planning an Azure AI solution that will use several Azure AI services, including Azure AI Vision and Azure AI Language. The solution must be deployed to multiple regions and must provide a single endpoint and key for all the services. Which Azure resource type should you create?

You are deploying an Azure OpenAI model for a healthcare application. You need to ensure that the model does not generate medical advice and that all responses include a disclaimer. Which configuration should you use?

A media company is building an Azure AI Foundry agent that generates summaries of news articles. The agent uses a tool to fetch articles from an internal CMS. The company wants to ensure the agent respects content usage rights and does not summarize articles that are marked as restricted. The agent must also log every article it accesses for auditing. Which two actions should the team take? (Choose two.)

A news organization wants to automatically summarize long articles into short, coherent summaries. The solution must preserve the original meaning and key points. Which Azure AI service should be used?

You are deploying a generative AI feature that drafts marketing copy with an Azure OpenAI GPT-4o deployment. The application must stream partial responses to the browser so users see text as it is generated, rather than waiting for the full completion. What should you enable in your API call?

A company is planning to use Azure AI services. They require the ability to audit all API calls for compliance. Which THREE components should they enable?

Your Azure AI Search index stores customer support tickets. You need to implement a search feature that returns semantically similar results even if the query uses different wording. Which configuration should you enable?

You are building a knowledge mining solution for legal documents using Azure AI Search. The solution must extract entities like dates, organizations, and persons from PDF files and index them. Which built-in skill should you add to the skillset to perform this extraction?

Refer to the exhibit. You have trained an object detection model in Azure Custom Vision. The model is published as 'defect-model'. You need to deploy this model to a Docker container for on-premises inference using the Azure IoT Edge runtime. What should you do first?

You are building a generative AI application with Azure OpenAI Service that summarizes long legal contracts. Legal reviewers report that the summaries omit obligations buried in the middle of very long documents, even though the documents fit within the model's maximum context window. You need to improve recall of those mid-document clauses while minimizing added latency. What should you do first?

You are developing a solution that uses Azure AI Language's custom named entity recognition (NER) to extract product names from technical support tickets. After training a model, you notice it performs well on the training set but poorly on new tickets. You need to improve the model's ability to generalize. What should you do?

You are deploying an Azure AI solution that uses Azure AI Language and Azure AI Vision. You need to ensure that the solution can be monitored for performance and health. You want to collect metrics and logs from these services and analyze them in a central location. What should you use?

A company uses Azure OpenAI to generate product descriptions. They want to ensure that the descriptions are consistent in style and tone. Which strategy should they use?

You are testing a Conversational Language Understanding application. You send the JSON request shown in the exhibit. What is the purpose of this request?

You are building a solution to generate product descriptions using Azure OpenAI Service. You need to ensure that the output adheres to a specific tone (professional, friendly) and length (50-100 words). Which parameter should you adjust?

You are developing a customer support chatbot using Azure OpenAI Service. The chatbot must only answer questions related to the company's product catalog and policies. You want to minimize the risk of the chatbot generating harmful or off-topic responses. Which approach should you use?

You need to extract handwritten text from scanned forms. Which Azure Computer Vision feature should you use?

Your team is building a knowledge mining solution for research papers. You need to automatically categorize papers into topics and extract author names, publication dates, and references. The solution must use custom models because the papers are domain-specific. Which combination of Azure services should you use?

You are managing an Azure AI services resource that is used by several departments. The security team requires that you monitor the resource for unusual access patterns and receive alerts when the number of failed authentication attempts exceeds a threshold. You need to configure the appropriate Azure Monitor components. Which two actions should you take? (Choose two.)

Your company is developing an AI-powered document processing solution using Azure AI Document Intelligence. The solution must extract data from scanned PDF forms. The forms are in a custom format not supported by prebuilt models. You have 10,000 labeled forms for training. The solution must be deployed in a region that supports Document Intelligence and must be accessible via a REST API. You need to ensure the solution can process forms with high accuracy. What should you do?

A developer is building an Azure AI Vision solution that must detect and locate multiple objects in an image, such as cars, people, and traffic lights. The solution must return bounding boxes for each detected object. Which Azure AI Vision capability should the developer use?

You are deploying a custom Azure AI Language question answering project. The solution must only answer questions based on a specific set of internal FAQ documents. Which data source type should you use when creating the project?

Drag and drop the steps to create a custom question answering project in Azure Language Service into the correct order.

You are deploying an Azure AI Search solution that indexes medical research papers. The papers contain sensitive patient data that must be de-identified before indexing. You need to use Azure AI Services to detect and redact personal information. Which combination of skills should you include in a skillset?

A company uses Azure Document Intelligence to process custom forms. They have trained a custom model using labeled data. They need to improve the model's accuracy for a specific field that is frequently misrecognized. The field appears in a consistent location but has varying formats. Which two actions should they take? (Choose two.)

Which THREE considerations are important when designing a custom skill for Azure AI Search that calls an external API for specialized data extraction?

Which TWO features of Azure AI Content Safety can help you moderate user-generated content in a social media application?

Refer to the exhibit. You execute a search query on an Azure AI Search index and get these results. The query was 'brown fox'. Why is the first result scored higher than the second?

You are planning to deploy an Azure AI solution that uses multiple Azure AI services. You need to monitor the solution for performance and operational issues. You want to collect metrics and logs from all the services and analyze them in a central location. What should you use?

You are building a generative AI feature in an application using the Azure OpenAI SDK. The feature must stream tokens to the user as they are generated and must also capture the full response for logging. Which implementation approach satisfies both requirements?

You are deploying a generative AI model using Azure AI Foundry. The model must be accessible only from within a specific virtual network. Additionally, you need to monitor all API calls for auditing. Which two configurations are required? (Choose two.)

You need to implement a solution that searches through a collection of scanned invoices and extracts invoice numbers, dates, and total amounts. The solution must run on a schedule without manual intervention. Which Azure service should you use?

Which TWO actions should you take when designing an Azure AI solution that uses Microsoft Foundry to ensure responsible AI practices?

You are developing a solution that uses Azure Document Intelligence to extract data from invoices and then uses Azure OpenAI to summarize the extracted data. The solution occasionally produces summaries that omit key fields like the invoice total. What should you do to improve accuracy?

A company uses Azure Content Moderator to moderate user-generated content. They need to ensure that content moderation workflows comply with regional regulations. Which TWO actions should they take?

A company uses Azure AI Speech for real-time captioning during live events. They notice a delay of 5 seconds between speech and caption display. Which action should they take to reduce latency?

You are designing a generative AI solution using Azure OpenAI Service with your own data indexed in Azure AI Search. Which THREE components are essential for the retrieval-augmented generation (RAG) pattern?

You deploy the ARM template shown in the exhibit. After deployment, you need to allow access to the Language service from your on-premises application. What should you do?

A developer is building a chatbot using Azure Bot Service and Language Understanding (LUIS). The bot needs to handle multiple intents, including 'BookFlight', 'CancelFlight', and 'CheckWeather'. During testing, the bot frequently confuses 'BookFlight' and 'CancelFlight' intents. What is the most effective way to improve intent classification accuracy?

You are designing a solution that uses Azure AI Language's conversational language understanding (CLU) to interpret user requests in a banking app. The app must handle utterances like 'Transfer $500 from savings to checking' and extract the amount, source account, and destination account. Which two actions should you perform when creating the CLU project? (Choose two.)

Match each Azure AI tool to its purpose.

You are designing an Azure AI Search solution that uses an AI enrichment pipeline to extract text and key phrases from scanned documents. You need to ensure the pipeline can process image-heavy PDFs and produce searchable text and key phrases. Which two actions should you include in the skillset? (Choose two.)

You are developing a generative AI solution that uses Azure OpenAI Service. The solution must generate product descriptions in multiple languages. You need to ensure that the model consistently follows specific formatting rules, such as including a bullet list of features. Which strategy should you use?

An e-commerce company wants to build an agent that helps users track orders, initiate returns, and answer FAQs. The agent should be available on the company's website and mobile app. Which Azure service should the team use to deploy the agent?

You are developing a generative AI feature with Azure OpenAI Service. The feature must generate a structured JSON object that conforms to a specific schema so it can be consumed by a downstream application without post-processing. What should you use to constrain the model output to the schema?

You are designing a solution that uses Azure AI Vision to analyze images for moderation. The solution must detect adult content and identify text in images. You need to minimize latency and cost. Which approach should you recommend?

You need to generate a poem using Azure OpenAI. The poem should be about nature and have a cheerful tone. Which parameter should you adjust to influence the tone?

You have an Azure AI Search indexer that enriches documents with a custom skill that calls an external API. The custom skill returns a JSON object containing a list of product codes. You need to store these product codes in a collection field named 'productCodes' in the index, and you want the field to be searchable and filterable. What should you do?

You are troubleshooting an agent built with Microsoft Copilot Studio. The agent uses a custom topic to check inventory levels. The topic calls a Power Automate flow that returns JSON with 'inStock' boolean. The agent sometimes says 'Item is in stock' even when the flow returns false. What is the most likely cause?

You are using Azure AI Language to extract information from medical research papers. You need to identify terms like 'dosage', 'side effects', and 'contraindications' specific to the medical domain. Which capability should you use?

You are developing a generative AI application that uses Azure OpenAI Service. You want to ensure that the application does not generate offensive content. Which Azure service should you use?

A company uses Azure Document Intelligence to analyze prebuilt invoices. They need to extract the invoice total and the due date from each invoice. They call the Analyze Invoice operation and receive a result. Which part of the JSON response contains the extracted fields?

A company uses Azure OpenAI Service to generate product descriptions. They notice that the descriptions sometimes contain factually incorrect information. Which strategy should they use to reduce hallucinations?

A media company needs to automatically generate descriptive captions for thousands of archived photographs stored in Azure Blob Storage. The solution must be fully managed and require no model training. Which Azure AI Vision capability should they use?

You are building a generative AI assistant on Azure OpenAI that must call internal REST APIs to look up order status. You decide to use function calling. Which TWO actions are required to make the assistant reliably invoke the correct API and return a coherent answer? (Choose two.)

You are developing an application that uses Azure AI Vision to analyze images of products on an assembly line. The application must identify the presence of specific objects, such as screws, bolts, and washers, and return their bounding boxes. You have a limited set of labeled images for each object type. Which Azure service should you use to train a model that meets these requirements?

Refer to the exhibit. You have this Azure AI Search indexer configuration. The indexer is failing after processing 6 documents that contain errors. What should you do to ensure the indexer continues processing even if some documents fail?

A company uses Azure Computer Vision to moderate user-generated content. The solution must detect adult content and flag it. Which API should you call?

A developer needs to build a mobile app that identifies dog breeds from photos. They have a small dataset of labeled images and want to train a custom model with minimal machine learning expertise. Which Azure service should they use?

You are building a knowledge mining solution for a legal firm that needs to extract key clauses from thousands of scanned contract PDFs. The solution must identify parties, effective dates, and termination conditions. Which Azure AI service should you use as the primary component?

A media company wants to automatically generate alt text for images on its news site using Azure AI Vision. The images are stored in Azure Blob Storage, and the solution must run serverless and respond within seconds. Which approach should you use?

Match each Azure AI scenario to the appropriate service.

You are designing a knowledge mining solution for a publishing company that needs to extract metadata from thousands of book manuscripts in various formats (PDF, Word, EPUB). The solution must identify authors, publication dates, and chapter titles. You are using Microsoft Foundry with Azure AI Search and Azure AI Document Intelligence. The manuscripts are stored in Azure Blob Storage. You need to ensure that the solution can handle all file formats. You have configured a skillset with a Document Intelligence skill for the PDFs and Word documents. However, the EPUB files are not being processed. What should you do to include EPUB files in the enrichment pipeline?

You are extracting text from scanned documents that are in French. Which capability of Azure AI Document Intelligence should you use?

Refer to the exhibit. You are calling the Azure AI Language API for entity linking. What is the primary purpose of this request?

You are planning a new Azure AI solution that will use Azure AI Language, Azure AI Vision, and Azure OpenAI. The security team requires that all service credentials be managed centrally, rotated automatically, and never stored in source code or application configuration files. You need to configure the application to retrieve the endpoint and key for each service at runtime. What should you use?

A team is building an agent using Azure AI Foundry Agent Service that must use the function calling tool to interact with a custom API. The agent sometimes fails to call the function with the correct parameters. Which action should the team take to improve the reliability of function calling?

Your organization uses Azure OpenAI Service with a data source configured as 'Azure OpenAI on your data'. You notice that the responses include outdated information even though the underlying data source has been updated. What is the most likely cause?

You are deploying a custom question answering solution in Azure AI Language. You need to ensure that the knowledge base can handle synonyms and alternative phrasings for questions. Which THREE strategies should you implement? (Select THREE.)

Your organization is migrating on-premises machine learning models to Azure. The models are used for real-time inference. You need to choose a service that provides managed endpoints with autoscaling and supports custom containers. Which service should you use?

A company uses Azure Document Intelligence with a custom neural model to extract data from purchase orders. The model was trained on 50 labeled samples and performs well on similar documents. However, when processing new purchase orders from a different supplier, the model fails to extract the 'TotalAmount' field accurately. What should you do to improve the model's performance on the new supplier's documents?

A company is using Azure AI Foundry to create an agent that must answer questions based on a set of internal documents. The agent should provide accurate answers and cite the source documents. Which feature should the team use to ground the agent's responses in the documents?

You are building a solution that uses Azure AI Language's question answering (custom question answering) to create a bot that answers employee HR questions. You have created a project and added a knowledge base with 50 question-answer pairs. You need to ensure the bot provides accurate answers and can handle paraphrased questions. Which two actions should you perform? (Choose two.)

You are developing a generative AI solution that uses Azure OpenAI Service. You need to control the creativity of the generated responses. Which parameter should you adjust?

You plan to use Azure AI Search to index a large number of text documents stored in Azure Blob Storage. The documents are in English. You want to automatically extract key phrases from the content during indexing. What should you add to the skillset?

A company needs to identify and tag products on store shelves using a custom model. They have a large dataset of labeled images with bounding boxes around each product. They want to train a model that can detect multiple products in new images and return their locations. Which Azure service should they use?

You are building a solution to extract key information from scanned invoices. The invoices are in PDF format and contain both printed and handwritten fields. Which Azure AI service should you use?

Your organization has a large repository of technical manuals in PDF format. You need to build a chatbot that can answer questions about the content of these manuals. Which combination of Azure services should you use?

A company is using Azure Cognitive Service for Language to analyze customer support transcripts. They want to identify custom categories (e.g., 'billing', 'technical support') using a custom text classification model. After training and deploying the model, they receive many false positives for the 'billing' category. What is the best first step to improve model accuracy?

A manufacturing company uses Azure AI Custom Vision to detect defects on a production line. The model was trained with 500 images per class and achieves 95% accuracy. After deployment, the model's accuracy drops to 80% due to changes in lighting conditions. What is the most effective first step to improve the model's robustness?

Your company uses Azure OpenAI Service to generate marketing content. You need to ensure that the generated content does not contain offensive language. Which feature should you enable?

Refer to the exhibit. A developer is testing the Text Analytics sentiment analysis API and receives a 401 error. What is the most likely cause?

You are preparing an Azure OpenAI deployment for a production generative AI application that must stream responses to a web front end and must limit the cost of overly long conversations. You need to configure parameters that control response length and streaming behavior. Which two parameters should you set? (Choose two.)

Your organization is building a knowledge base from technical manuals stored in multiple formats (PDF, Word, HTML). You need to extract text and images from these documents and create a searchable index. The solution must handle tables and preserve their structure. Which approach should you use?

You are designing a solution that uses Azure AI Document Intelligence to extract data from invoices. The solution must classify invoices by vendor and extract line items. Which prebuilt model should you use?

Refer to the exhibit. You are configuring an Azure OpenAI Service deployment for document summarization. The current parameters produce summaries that are often too verbose. You need to make the summaries more concise while maintaining factual accuracy. Which parameter change should you make?

You are deploying a chatbot using Azure OpenAI Service with a custom dataset indexed in Azure AI Search. Users report that the chatbot frequently responds with 'I don't know' for questions that the dataset should cover. What is the most likely cause?

You are building an agent with Azure AI Agent Service. The agent must consult a product catalog stored in an Azure AI Search index before answering questions, and you want the retrieval to happen automatically on every run without writing any orchestration code. You have already created the index and a project connection to it. Which configuration should you apply to the agent?

A developer is using Azure Cognitive Service for Language to perform sentiment analysis on customer reviews. The service returns sentiment labels (positive, negative, neutral) and confidence scores. For a particular review, the service returns 'positive' with a confidence score of 0.55. The developer wants to ensure that only high-confidence results are used. What should the developer do?

You are building a generative AI solution with Azure OpenAI Service. Prompts must be assembled from a system instruction, retrieved document chunks, and the user's question. You need a mechanism that automatically inserts the retrieved chunks into a designated placeholder in a prompt template before the request is sent to the model. What should you use?

A developer wants to integrate a pre-built AI model that can extract key information from invoices, such as vendor name, invoice date, and total amount. Which Azure AI service should they use?

Refer to the exhibit. You are deploying a generative AI model as an online endpoint in Azure Machine Learning. You receive complaints that the endpoint returns 503 errors during peak hours. What is the most likely cause?

You are developing a conversational language understanding (CLU) project in Azure AI Language. You have defined intents and entities for a banking bot. During testing, you notice that utterances containing the phrase 'transfer funds' are sometimes predicted as the 'CheckBalance' intent instead of 'TransferMoney'. You have already added 20 labeled examples for 'TransferMoney' and 20 for 'CheckBalance'. What should you do to improve the model's ability to distinguish between these intents?

A company uses Azure Custom Vision to build a classifier for defect detection on a manufacturing line. They have labeled images of products with and without defects. Which TWO actions should they take to improve model performance?

Your knowledge mining solution ingests documents from multiple tenants. Each tenant's data must be isolated and searchable only by that tenant. You have a single Azure AI Search service. How should you implement multi-tenancy?

You have defined the custom WebApiSkill shown in the exhibit. The skill calls an Azure Function that can process up to 10 documents per second. However, you notice that the skill is failing with 429 errors. What is the most likely cause?

Which TWO Azure AI services can be used together to build a solution that transcribes customer service calls and detects sentiment?

You are building an agent using Azure AI Agent Service that must execute code in a sandbox environment. The code should be able to install Python packages. Which action type should you use?

You are building a web application that allows users to upload images of restaurant receipts and extract the total amount and merchant name. The receipts may be crumpled, rotated, or have handwritten notes. Which Azure AI service should you use to reliably extract this information?

You are deploying a generative AI assistant with Azure OpenAI Service. Company policy requires that the assistant must never output profanity, and that any attempt to elicit such content must be blocked at the service level rather than filtered in application code. You need the least administrative effort to enforce this. What should you do?

Your company wants to moderate user-uploaded images for adult content. Which Azure AI service should you use?

Your company has a large set of PDF documents stored in Azure Blob Storage. You need to index these documents in Azure Cognitive Search so that users can search the text content. What is the first step you should take?

You are developing a chat application that uses Azure OpenAI Service to answer customer queries. The solution must ensure that the model does not generate harmful or offensive content. Which Azure AI service should you configure?

You are building an Azure AI Search solution that uses a custom skill to enrich documents. The custom skill is implemented as an Azure Function. You need to ensure that the custom skill can access the documents' content and output enriched data. Which two actions should you perform? (Choose two.)

You are a data scientist for Contoso Pharmaceuticals. The company has thousands of research documents in PDF format stored in Azure Blob Storage. You need to build an Azure Cognitive Search solution that enables researchers to search for documents based on chemical compound names, disease mentions, and experimental results. The solution must extract these entities using a custom AI model built in Azure AI Language. Additionally, the solution must support semantic search for natural language queries. The search index must be updated daily with new documents. You have an existing Azure AI Language custom entity extraction model that recognizes chemical compounds and diseases. The model is deployed as an endpoint. You need to configure the enrichment pipeline. What should you do?

You are building an agent in Microsoft Copilot Studio that needs to send a confirmation email after a user completes a survey. The email should be sent using the user's email address collected during the conversation. Which feature should you use to send the email?

You are developing an app that analyzes images of restaurant receipts. The app must extract the merchant name, transaction date, and total amount from each receipt. You want to minimize development effort and use a prebuilt Azure AI service. Which service should you use?

Your knowledge mining solution uses Azure AI Search. Users complain that search results are not relevant. You have enabled semantic search but results still lack context. What should you do to improve relevance?

You are building a generative AI solution that uses Azure OpenAI function calling to let the model invoke backend APIs. During testing, the model sometimes invents parameter values that cause API errors. You need to make function invocation more reliable. What should you do?

You have the above skillset in Azure AI Search. The indexer processes a document with 12,000 characters of content. How many entity recognition skill executions occur?

A development team is building an Azure OpenAI chat application and wants the model to return structured JSON that matches a defined schema containing an 'intent' field and a 'confidence' field. The application will parse the response directly. Which deployment parameter should the team use to constrain the output format?

A news organization uses Azure Video Indexer to generate transcripts of live broadcasts. They notice that the speaker names are not appearing in the transcript. What is the most likely cause?

Your company uses Microsoft Copilot for Microsoft 365. You need to ensure that Copilot only accesses data from approved SharePoint sites and does not use any other organizational data. What should you configure?

You have configured a system message for an Azure OpenAI chat completion deployment as shown in the exhibit. Users are reporting that the assistant sometimes refuses to answer questions that are clearly within the scope of the provided data. What is the most likely issue?

Which TWO actions can you take to reduce the cost of using Azure OpenAI Service for a chat application?

You are building a generative AI feature that drafts marketing copy in English and must also produce accurate French and German versions. The team wants a single deployment that handles all three languages without maintaining separate prompt templates per language, and the translations must preserve the marketing tone. Which Azure OpenAI capability should the solution rely on?

You are deploying an Azure AI Services resource by using an ARM template as part of an automated pipeline. The template must create the resource, a key vault, and a role assignment that allows a specific managed identity to read the resource key from the key vault. The deployment fails with an authorization error when creating the role assignment. You need to resolve the failure. What should you do?

You are building a generative AI feature where an Azure OpenAI model must call internal functions, such as looking up an order status and issuing a refund, based on the user's natural language request. You need the model to decide which function to invoke and to incorporate the function result into its answer. Which two actions should you take? (Choose two.)

A multinational corporation uses Azure AI Language to analyze customer feedback in multiple languages. The solution must detect the language of incoming text and then perform sentiment analysis. Which approach minimizes latency and cost?

You are planning to deploy an Azure AI Services multi-service resource. You need to ensure that the resource can be used by applications running in an Azure Kubernetes Service (AKS) cluster without embedding keys in the application code. What should you do?

You are using Azure OpenAI Service to generate code snippets. The output must be safe and free of security vulnerabilities. Which TWO practices should you follow? (Select TWO.)

Which THREE components are required to build a custom chat application using Azure OpenAI Service that can answer questions based on your own private data?

Your company wants to build a custom generative AI model that generates architectural designs. The model should be trained on the company's proprietary dataset of floor plans and designs. Which Azure service should you use?

You have deployed a generative AI model using Azure Machine Learning. The model is used for generating financial reports. You need to monitor the model's performance and detect data drift in the input data. What should you use?

You are troubleshooting an agentic solution where the agent is not returning responses within acceptable time limits. You suspect the agent is making too many sequential calls to external tools. Which strategy should you recommend to reduce latency?

Your company uses Azure AI Content Safety to moderate user-generated content in a chat application. You need to detect and block sexual content in multiple languages. Which pre-built category should you configure?

You need to generate realistic synthetic data using Azure OpenAI Service to train a machine learning model. The data must be diverse and cover edge cases. Which approach should you use?

You are deploying a solution that uses Azure OpenAI Service to generate financial reports. You need to ensure the outputs are accurate and consistent. Which TWO parameters should you adjust? (Choose two.)

A financial services firm uses Azure AI Language to analyze earnings call transcripts. They need to extract key phrases and identify sentiment for each speaker's turn. Which approach should they use?

Refer to the exhibit. You are reviewing a content safety policy for an Azure AI Foundry deployment. The policy rate limits to 20 requests per minute. A user submits 50 requests in one minute. How many requests are allowed?

You are using Azure AI Search to index customer support tickets. You want to automatically extract the customer's sentiment and key phrases from each ticket. Which Azure AI service should you integrate as a skillset?

A company is building a chatbot that must handle user queries in multiple languages. The chatbot uses Azure AI Language Service. Which feature should be used to detect the language of incoming messages before routing them to the appropriate language model?

You are building a solution that uses Azure AI Language to summarize long customer support emails. The emails are in English, and each email can be up to 10,000 characters. You need to generate a concise summary that preserves the most important sentences and returns the summary along with the original sentences it selected. Which feature and approach should you use?

A company uses Azure Face API to verify employee identities for building access. They need to ensure that only live faces are used, not photos or videos. Which feature should they enable?

You are a generative AI engineer at a financial services company. The company uses Azure OpenAI Service to generate investment summaries. You have deployed a GPT-4 model with a content filter set to 'Low' for hate speech. The model frequently generates summaries that include biased language against certain demographics. You need to reduce biased outputs while maintaining the ability to generate detailed financial analysis. You cannot afford to retrain the model. You have the following options: A) Change the content filter severity to 'High' for all categories, B) Add a system message instructing the model to avoid bias and provide examples of unbiased summaries in the prompt, C) Use the Azure AI Language service to detect bias in the output and regenerate if bias is found, D) Deploy a different model like GPT-3.5 which has less bias. Which course of action should you take?

You are developing a custom chatbot using Azure AI Bot Service and Language Understanding (CLU). The chatbot needs to escalate to a human agent when the user's sentiment is negative. Which component should you use to detect sentiment?

You are implementing a knowledge mining solution for a legal firm. The solution must ingest large volumes of legal documents (PDFs and Word files) stored in Azure Blob Storage. You need to extract text, recognize named entities (e.g., parties, judges, case numbers), and index the content for full-text search. The solution should also support redaction of sensitive information before indexing. Which combination of Azure AI services should you use?

You are a data engineer at a university. The university wants to digitize its historical student records (paper forms) to make them searchable. The records are scanned as images (JPEG) and stored in Azure Blob Storage. Each form contains handwritten fields: student name, ID number, date of birth, and degree. You need to extract these fields and index them in Azure AI Search. The solution must use Azure AI Services and minimize manual labeling effort. Which approach should you take?

You are developing an Azure AI solution that uses pre-built models from Azure AI Vision to analyze images. The solution must be able to detect objects and read printed text. Which TWO capabilities should you use?

You are implementing a generative AI solution using Azure OpenAI. You need to ensure that the model's outputs do not contain certain inappropriate words or phrases. Which feature should you configure?

You are designing an agentic solution using Azure AI Agent Service. The agent needs to perform actions on behalf of users, such as sending emails and updating databases. The solution must use managed identities for authentication to Azure resources. Which TWO configurations are required?

A company wants to build a solution that automatically generates alt text for images on their website to improve accessibility. The alt text must be a concise, human-readable description of the image content. Which Azure AI Vision feature should they use?

A developer uses the Azure OpenAI API to generate code. They want to ensure that the generated code is in Python. Which parameter should they set?

You are building a generative AI solution with Azure OpenAI Service that must produce concise, factual answers using only a supplied knowledge base. During testing, the model sometimes invents details not present in the knowledge base. You need to reduce hallucinations without retraining the model. What should you do?

A company wants to generate personalized product descriptions for its e-commerce site using Azure OpenAI. They need to ensure the model's output adheres to brand guidelines and does not generate prohibited content. Which approach should they use?

You want to use the Azure AI Language service to summarize long customer support conversations into a short summary. Which feature should you use?

Refer to the exhibit. { "content_filters": [ { "type": "hate", "action": "block", "severity": "high" }, { "type": "sexual", "action": "block", "severity": "medium" }, { "type": "self_harm", "action": "block", "severity": "low" } ] } You deploy an Azure OpenAI model with the above content filter configuration. A user submits a prompt that the system rates as "hate" at severity level "medium". What happens?

You are configuring an agent in Azure AI Foundry Agent Service to generate responses based on a large set of internal documents. The documents are stored in an Azure Storage account. You need to ensure the agent can retrieve relevant information from these documents to answer user queries. What should you do?

Your company uses Azure OpenAI Service to generate product descriptions. You need to ensure that the generated content does not include offensive language and adheres to responsible AI principles. What should you implement?

You are deploying a generative AI solution that must produce structured JSON order confirmations from free-text customer emails. Downstream systems reject any response that is not valid JSON matching a fixed schema. Which approach best guarantees schema-conformant output from an Azure OpenAI chat completion?

Your application needs to extract key phrases from customer reviews to identify common topics. Which Azure AI Language feature should you use?

You are designing an Azure AI solution that uses Azure AI Language to analyze customer support transcripts. The solution must identify key phrases, detect sentiment, and extract custom entities specific to your product catalog. Which two Azure AI Language features should you enable?

You run the above Azure CLI command. What is the expected output?

Your company uses Azure AI Document Intelligence to process invoices. You need to extract the invoice date and total amount. Which model should you use?

You are building a generative AI solution using Azure OpenAI Service that must generate code snippets. The solution must ensure that the generated code does not include any known vulnerable patterns, such as SQL injection. You need to implement a safeguard. What should you do?

You are a content moderator for a social media platform that uses Azure Content Moderator. The platform has a custom blocklist of URLs (e.g., 'example.com/spam') and a custom term list for hate speech. Recently, users have been posting comments that contain a new form of hate speech not yet in the term list. The comments are being allowed through moderation. You need to update the solution to catch these new phrases as quickly as possible. What should you do?

You are implementing a knowledge mining solution using Azure AI Search. The data source is a large Azure Cosmos DB collection containing customer support tickets. Each ticket has fields: ticket_id, description, category, and resolution. You need to ensure that the search index can support fuzzy search and autocomplete suggestions. What should you configure in the index definition?

An agent uses Azure AI Language to perform sentiment analysis on customer feedback. The team notices that the sentiment scores are sometimes inaccurate for negative feedback. Which TWO improvements should the team consider?

You are building a web application that lets users upload photos of restaurant menus and receive the extracted text. The menus are often photographed at an angle, with uneven lighting and background clutter. You need an Azure AI Vision capability that returns text lines and words with bounding boxes, and you want to minimize development effort. Which Azure AI Vision feature should you use?

You run the PowerShell script shown to audit your Azure AI Agent Service agents. The script outputs that several agents have no tools configured. What is the impact on those agents?

You are deploying a generative AI application using Azure OpenAI Service. The application must generate responses that are creative and varied for a marketing campaign. Which parameter should you adjust to increase the randomness of the model's output?

You are troubleshooting a Microsoft Copilot Studio agent that calls a custom connector action to retrieve shipment data. The action works in the test canvas, but when the agent is published to a channel, the action returns an authorization error for some users. The connector uses OAuth. You need to resolve the issue. What should you do?

You are using Azure AI Language's custom question answering feature to build a FAQ bot. The knowledge base contains many question-and-answer pairs. Users sometimes ask questions that are paraphrases of the stored questions. You need to improve the likelihood that the bot returns the correct answer for paraphrased questions. Which action should you take?

You are building an agent with the Azure AI Agents SDK that must support multi-turn conversations for a help desk scenario. The agent should remember details a user provided earlier in the same conversation, such as their device model. You need to manage conversation state. What should you do?

Which TWO Azure services can be used to implement a conversational AI solution that understands user intent and responds appropriately?

Which THREE components are required to build a custom copilot using Microsoft Copilot Studio that can answer questions from a SharePoint document library?

A company uses Azure OpenAI to generate product descriptions. They notice that the model occasionally produces descriptions that include false claims about product features. The company needs to reduce the frequency of these inaccuracies without changing the training data. Which parameter adjustment would be most effective?

You are developing a solution that uses Azure AI Language to detect the language of incoming text messages. The messages may contain mixed languages within a single document. You need to ensure the API returns the detected language and a confidence score for each document. Which request should you make?

A company is implementing a question-answering system using Azure AI Language Service. They have a set of FAQ documents in PDF format. Which feature should they use to automatically generate question-answer pairs?

You are building a generative AI application that must process large volumes of PDF documents and generate summaries using Azure OpenAI. The solution must be cost-effective and handle variable workloads. Which architecture should you recommend?

You are planning a solution that uses Azure AI Language to analyze customer feedback from social media posts. The solution must: - Detect sentiment (positive, negative, neutral) for each post. - Extract key phrases. - Support English and Spanish languages. - Run asynchronously for a batch of 10,000 posts. - Use the least expensive option that meets requirements. What should you do?

You are building a solution to extract key information from invoices using Azure AI Document Intelligence. The invoices contain fields such as invoice number, date, total amount, and line items. However, the model is not correctly extracting the line items. Which prebuilt model should you use?

A company is building a solution to analyze customer reviews images using Azure AI Vision. They need to extract text from images that may contain both printed and handwritten text. Which feature should they use?

You have a real-time video processing pipeline using Azure AI Video Indexer. You need to detect when a specific person appears in archived video footage. Which approach minimizes latency and cost?

You are building an Azure AI Search enrichment pipeline that processes PDF documents from Azure Blob Storage. The documents contain both text and images. You need to extract text from the images and also detect the language of the extracted text to route documents to language-specific processing. Which two built-in skills should you include in the skillset? (Choose two.)

You are using Microsoft Copilot Studio to create an agent that helps users reset their passwords. The agent should first verify the user's identity using multi-factor authentication (MFA) before proceeding. Which feature should you configure?

You are building a mobile app that allows users to take a photo of a product and get detailed information. The app uses Azure AI Custom Vision to classify products. You need to ensure low latency for inference. What should you do?

You are planning to use Azure AI Vision to analyze images for a retail inventory management application. The solution must detect products on shelves and read expiration dates. Which two Azure AI Vision capabilities should you use?

A developer is deploying a custom text classification model in Azure AI Language. The model must be accessible via a REST API with low latency. Which TWO actions should the developer take?

You have a computer vision solution that analyzes security camera feeds to detect people and vehicles. The solution uses Azure AI Vision Spatial Analysis. You need to ensure compliance with privacy regulations by blurring detected faces. Which feature should you enable?

You are building a chatbot using Azure AI Language and need to handle user intents that are not covered by the predefined intents. What should you implement?

Your Azure AI Search solution uses a custom skill to call an external API. The skill runs locally but fails when deployed to the search service. What is the most likely cause?

Which TWO of the following are best practices for securing Azure AI services?

You are building a knowledge mining solution that indexes technical manuals in multiple languages. The solution must enable users to search in their native language and retrieve results in the same language. Which approach should you use?

You are deploying an agentic solution using Azure AI Agent Service. The agent needs to be invoked from a custom application using REST API calls. Which endpoint should you use to send a message to the agent?

Which THREE components are required to build a custom question answering solution using Azure AI Language?

You are a cloud solution architect at a legal firm. The firm needs to automate the summarization of legal documents. They have a large corpus of past case summaries and legal documents stored in Azure Blob Storage. They want to use Azure OpenAI to generate summaries for new documents. The solution must ensure that the generated summaries are accurate and do not contain hallucinated legal facts. The firm also requires that the solution be serverless and minimize operational overhead. You need to design the solution. Option A: Use Azure OpenAI with a system message that instructs the model to be accurate. Deploy the model as a web app on Azure App Service and call it from Azure Functions triggered by new blob uploads. Option B: Use Azure OpenAI with Retrieval-Augmented Generation (RAG) by indexing the past case summaries in Azure AI Search. Use Azure Functions to process new documents, retrieve relevant cases, and pass them as context to the model. Store summaries in Azure Cosmos DB. Option C: Fine-tune an Azure OpenAI model on the past case summaries and deploy it as a managed endpoint. Use Azure Logic Apps to trigger summarization when new blobs are added. Option D: Use Azure OpenAI with the chat API and provide the entire document in the prompt. Use Azure Container Instances to run a service that calls the API and writes summaries back to Blob Storage. Which option should you choose?

You are deploying a Conversational Language Understanding (CLU) model to production. You need to monitor the model's performance and detect when retraining is needed due to concept drift. Which metric should you monitor?

A company is building a chatbot using Azure OpenAI Service to answer customer queries. The chatbot must not generate harmful or offensive content. Which Azure AI service should be integrated to filter inappropriate content?

Match each Azure AI service to its primary function.

You are an Azure AI engineer at Fabrikam Inc. The company has developed a custom vision model using Azure Custom Vision to detect defects on a manufacturing assembly line. The model is deployed as a Docker container to an on-premises edge device using Azure IoT Edge. Recently, the model's inference accuracy has decreased. The operations team reports that the edge device is running low on memory and CPU. The model was trained with images from a specific camera angle, but the camera angle has been changed slightly due to maintenance. You need to improve the model's accuracy. What should you do?

A healthcare startup is developing a chatbot that uses Azure OpenAI to answer patient questions. They need to ensure that the chatbot only uses information from their verified medical database and does not generate unsupported medical advice. What is the best approach?

You are building a generative AI assistant with Azure OpenAI Service that must answer questions using a large corpus of internal product manuals. The manuals are updated weekly, and the assistant must reflect changes without retraining the model. You need to implement a retrieval-augmented generation (RAG) pattern. What should you use to index and retrieve relevant manual content?

A retail company is creating an Azure AI Foundry agent that helps customers find products. The agent must be able to call a product search API and a store inventory API. The team wants to define these capabilities so the agent can invoke them when needed. What should the team do?

You are deploying a retrieval-augmented generation chat solution on Azure OpenAI. During testing, users report that the model confidently answers questions using facts that are not in the indexed documents, and that retrieved chunks sometimes come from the wrong department's SharePoint site. You need to reduce these ungrounded answers without retraining the model. (Choose two.)

Refer to the exhibit. You are creating a Custom Vision project using the Azure AI Custom Vision API. The training data is stored in Azure Blob Storage with a SAS URI. The project creation fails with an authorization error. What is the most likely reason?

Your organization is using Azure AI Document Intelligence to process expense reports. The reports are submitted as images and need to be classified into categories (e.g., travel, office supplies) before extraction. Which feature of Document Intelligence should you use?

A company uses the Face API to detect and identify employees for building access. They need to ensure that the system complies with GDPR requirements for biometric data. Which action should they take?

You are designing an Azure AI Search enrichment pipeline that extracts entities from text using the Entity Recognition skill. You need to ensure that the extracted entities are stored as a collection in the index so that users can filter and facet on them. Which index field type should you use?

You are building a knowledge mining solution using Azure AI Search. You need to ensure that sensitive information such as credit card numbers is automatically removed from the indexed content. Which built-in skill should you add to your skillset?

You are designing a knowledge mining solution that must handle sensitive customer data. The solution must ensure that personally identifiable information (PII) is not returned in search results. What should you do?

You are planning to use Azure AI Document Intelligence to process a large volume of mixed document types (invoices, receipts, and purchase orders). The solution must automatically classify each document type and extract relevant fields. What should you configure?

A company uses Azure AI Language to analyze customer reviews. They need to detect sentiment, extract key phrases, and identify named entities. Which THREE capabilities should they combine?

You are building an application that must detect and redact personally identifiable information (PII) from free-text support tickets before storing them. The tickets are written in English, and you need to identify entities such as names, phone numbers, and email addresses, and replace them with asterisks. You plan to use the Azure AI Language service. Which API endpoint should you call?

Which TWO Azure AI Search features should you enable to improve the relevance of search results for a knowledge mining solution that supports natural language queries?

You are designing an Azure AI Vision solution that must detect and extract text from identity documents such as passports and driver's licenses. The solution must also identify the document type and extract key fields like name and date of birth. You need to choose the appropriate Azure AI service and features. (Choose two.)

Your company wants to build a custom Copilot for customer support using Microsoft Copilot Studio. The support team needs to query a backend CRM system securely using the Copilot. Which authentication method should you configure for the custom connector to the CRM?

You are building an Azure OpenAI solution that must generate product descriptions from a small set of 40 curated examples that demonstrate your brand voice. You want the model to imitate the style without changing the model weights or incurring the cost of a fine-tuning job. What should you do?

You are designing a solution that uses Azure AI Document Intelligence to extract data from invoices. The solution must handle high throughput and process documents in batch. Which TWO configuration options should you use?

You are implementing a generative AI chat solution on Azure OpenAI Service. The solution must ground its answers in a large internal knowledge base and return inline citations that link back to the exact source chunks. You want to minimize custom code and use a managed retrieval pipeline. Which Azure OpenAI feature should you configure?

A company is developing an agent that uses Azure AI Vision to analyze images uploaded by users. The agent must identify objects and read text in images. The team uses the Azure AI Vision API. During testing, the agent fails to read text from images with low contrast. What should the team do to improve optical character recognition (OCR) accuracy for such images?

You are an AI engineer at Contoso. Contoso has a Microsoft Copilot for Microsoft 365 deployment. They want to build a custom copilot in Microsoft Copilot Studio that can answer questions about their internal IT support knowledge base stored in a SharePoint Online document library. The knowledge base includes hundreds of PDF and Word documents. Requirements: - The copilot must only answer from the approved knowledge base documents. - Responses must be grounded in the documents and include citations. - The solution must use generative answers with a prebuilt AI model (no custom model training). - Authentication must be via Microsoft Entra ID with single sign-on (SSO). - The copilot should be published to a Microsoft Teams channel. You need to recommend the minimal configuration steps. What should you do?

A company needs to implement a chatbot that answers customer queries using a knowledge base. Which Azure AI service should be used to build the knowledge base?

A healthcare organization needs to redact personally identifiable information (PII) from patient records before using them for research. They have large volumes of unstructured text in multiple languages. Which Azure AI service should they use?

A healthcare organization is building a clinical decision support system that must extract medical entities (e.g., symptoms, diagnoses, medications) from unstructured clinical notes. The solution must be able to detect relationships between entities, such as 'medication X treats symptom Y'. Which Azure AI service should be used?

A team is building a chatbot using Azure Bot Service and Language Understanding (LUIS). The chatbot must handle multiple languages. What should you configure?

You are planning to deploy an Azure AI solution that uses Azure Cognitive Services. You need to ensure that the solution can be deployed to multiple regions and that each region uses a separate endpoint. What should you do?

You are developing a generative AI application using Azure OpenAI. The application must log all prompts and completions for auditing, but sensitive data such as personal health information (PHI) must be redacted before logging. Which approach should you use?

Your Azure AI Search indexer is failing to index documents from an Azure Blob Storage container. The error message shows 'AccessDenied'. What is the most likely cause?

You have deployed a chatbot using Azure OpenAI with a system message as shown. The chatbot sometimes provides incorrect answers that are not supported by the sources. What is the most likely cause?

You are building a solution that must detect the sentiment polarity (positive, negative, neutral, or mixed) of incoming customer support tickets written in English and German. You want to use a single Azure AI Language resource and avoid maintaining separate models per language. Which approach should you use?

Which TWO actions should you take to reduce the cost of using Azure OpenAI for a chatbot that handles high traffic?

You run the PowerShell script above to call the Text Analytics API. The response shows a sentiment label of 'positive' with a score of 0.99. However, you expected 'negative' because the word 'excellent' was meant to be sarcastic. What is the most likely reason for this result?

You are deploying a conversational AI solution using Microsoft Copilot Studio. The solution must provide responses based on data from an internal knowledge base stored in SharePoint. Which feature should you configure?

A company is building a chatbot using Azure OpenAI Service to handle customer inquiries. The bot sometimes responds with incorrect or fabricated information. The team wants to ground the model responses using their own product documentation stored in Azure Cognitive Search. Which configuration should they implement?

You are building a generative AI solution using Azure OpenAI. The solution must generate responses that include factual information from a set of internal documents that are updated frequently. You need to ensure the model uses the latest document versions without retraining. What should you do?

You are designing a generative AI assistant that must produce deterministic, repeatable answers for a compliance workflow. The assistant uses Azure OpenAI chat completions and must return the same output for identical prompts. Which parameter setting should you apply?

You are deploying an Azure AI solution that uses Azure AI Search. The solution must be able to index data from an Azure SQL database and provide search results to an application. You need to ensure that the search service can access the database securely without storing credentials in the indexer definition. What should you do?

A logistics company runs an Azure AI Agent Service agent that must call an internal REST API to book delivery slots. The API requires a per-tenant OAuth token that must never be visible in run logs or agent definitions. The agent is invoked by many tenants through your own web application. Which approach should you use to give the agent access to the API securely?

Which TWO Azure services are used together to build a custom question-answering solution?

You are developing a solution that uses Azure AI Translator to translate documents from English to French. You need to ensure that the translated text maintains the original formatting, such as HTML tags. Which feature should you use?

Your company deploys an Azure AI Document Intelligence solution to extract data from invoices. During testing, you notice that some fields are not being extracted correctly, especially for invoices from a specific vendor with a non-standard layout. You need to improve extraction accuracy for this vendor's invoices. What should you do?

A company uses Azure AI Search to index a large collection of scanned invoices stored in Azure Blob Storage. They have a skillset that includes an OCR skill to extract text from the invoices. The indexer is configured to run every night. They notice that the indexer takes a long time to complete and sometimes times out. They want to optimize the indexer performance without reducing the quality of the extracted text. What should they do?

You are designing a solution that uses Azure AI Language custom question answering. The knowledge base contains 200 question-answer pairs. Users report that the bot sometimes returns answers to questions that are semantically similar but not actually asked. You need to reduce these false positives while maintaining the ability to answer paraphrased questions. What should you configure?

Refer to the exhibit. You are deploying a GPT-4 model using Azure OpenAI Service. The deployment uses the Standard scale type. Which statement is true about this deployment?

A company wants to use Azure AI services to extract text from scanned PDF documents. Which Azure AI service should they use?

You are designing a conversational AI solution using Microsoft Copilot Studio. The exhibit shows part of a topic configuration. What is the purpose of the 'triggers' section?

A company uses Azure AI Vision to extract text from scanned invoices. They need to preserve the layout information, such as tables and key-value pairs, to automate data entry. Which Azure service should they use?

Your organization uses Azure AI Language to perform sentiment analysis and opinion mining on product reviews. You notice that the sentiment scores are often neutral even when the review text contains clearly positive or negative opinions. You suspect the model is not capturing the nuances. Which three actions could improve the sentiment analysis accuracy? (Choose three.)

You are deploying an Azure OpenAI model for a public-facing FAQ assistant. The assistant must answer only questions covered by a fixed set of approved topics, and any off-topic question should receive a polite refusal. Which approach most directly enforces this behavior?

You plan to use Azure AI Content Safety to detect hate speech in user-generated content. Which type of content safety is most appropriate for this scenario?

You are creating a new Custom Vision project with the above JSON. The domainId corresponds to the 'Logo' domain. Which type of model will this project train?

You are deploying a generative AI application using Azure OpenAI Service. The application must generate responses in multiple languages while maintaining high accuracy. You need to minimize token usage. Which approach should you recommend?

A company is using Azure Form Recognizer to extract data from invoices. The prebuilt model does not correctly extract a custom field that is specific to the company's invoices. What is the most appropriate action to improve extraction accuracy for this field?

A healthcare organization uses Azure AI Language to extract medical entities from clinical notes. The solution must comply with HIPAA and data residency requirements. Which configuration is essential?

Refer to the exhibit. You are configuring a system message for an Azure OpenAI deployment. The assistant is still generating harmful code despite the instruction. Which additional measure should you implement?

You need to transcribe customer service calls into text for analysis. Which Azure service should you use?

A company is building a chatbot using Azure Bot Service and Language Understanding (LUIS). The chatbot needs to handle user intents for booking flights and checking flight status. After testing, the chatbot frequently fails to distinguish between the two intents when users mention flight numbers. Which action should the engineer take to improve intent recognition?

You are building a computer vision solution to detect defects on a manufacturing assembly line. The solution must process images in real-time with low latency, and you need to choose an Azure service. Which service should you use?

Which THREE factors should you consider when selecting a pricing tier for Azure Computer Vision in a production environment?

A company wants to extract key-value pairs from scanned invoices using Azure AI. Which service should they use?

A company wants to generate product descriptions for thousands of items using an Azure OpenAI GPT-4 model. They need to ensure the descriptions match a consistent brand voice. Which approach is most efficient and cost-effective?

You are building a multilingual customer support chatbot using Azure AI Language. The bot must understand user intents in English, Spanish, and French. You have pre-existing labeled data in English only. The solution should minimize manual labeling effort. Which approach should you recommend?

You are implementing a knowledge mining solution using Azure AI Search with a custom skillset. The custom skill is an Azure Function that enriches documents with additional metadata. You need to ensure that the custom skill receives the entire document content as input. How should you configure the skill's context and inputs?

A company uses Azure AI Speech to provide real-time transcription for customer support calls. The solution must handle multiple languages and filter out profanity. Which THREE configurations are needed?

You need to translate a large batch of documents from English to multiple languages. Which Azure service should you use?

Refer to the exhibit. A developer runs this PowerShell script to call Azure OpenAI. The script fails with an authentication error. What is the most likely cause?

You are using Azure AI Language's question answering feature to build a bot that answers employee questions from a set of HR policy documents. You need to ensure the bot provides accurate answers and can handle follow-up questions. Which two actions should you take? (Choose two.)

You are reviewing an index definition created with PowerShell. The index is used for a knowledge mining solution that extracts people and organizations from documents. Users report that when they type partial names in the search bar, the suggester does not return suggestions. What is the most likely reason?

You are deploying an Azure AI solution that must process images stored in an Azure Blob Storage account. The solution uses the Computer Vision API and must be able to access the images without exposing storage account keys in code. You need to configure authentication. What should you do?

Which TWO Azure AI services can you use to implement a custom question-answering system?

A manufacturing company uses Azure Custom Vision to detect defects on an assembly line. The model is deployed to a container on a local edge server. Recently, the model's accuracy dropped. You suspect data drift. What should you do to monitor and retrain the model?

A healthcare organization uses Azure Document Intelligence to process patient intake forms. They notice that the confidence scores for field extraction are low. What is the most likely cause?

Your team ships a generative assistant that calls a custom function to look up live order status. Users report that the assistant sometimes invents an order status instead of calling the function, and that when it does call the tool the arguments are occasionally malformed. You need to make tool invocation more reliable while keeping the existing model. What should you do?

Refer to the exhibit. You are designing a Data Factory pipeline to perform sentiment analysis on a text column. The pipeline fails with a 'BadRequest' error. What is the most likely issue?

You are building an Azure AI Language solution that must extract named entities from support tickets and classify each entity as a person, organization, or location. The tickets are stored as UTF-8 text files. You need to call the REST API for Named Entity Recognition (NER) and ensure the response includes entity categories. Which request should you send?

Refer to the exhibit. You are using Microsoft Graph to retrieve user information for use in a Microsoft 365 Copilot extension. The response shows that the mail and mobilePhone fields are null. What is the most likely reason?

You are implementing an Azure AI Search enrichment pipeline that extracts text from PDF documents stored in Azure Blob Storage. The PDFs are scanned images with no embedded text layer. You need to ensure the extracted text is available for downstream skills. Which skill should you add to the skillset?

Your chatbot uses Azure Bot Service and QnA Maker. Users can ask questions in natural language, and the bot returns answers from a knowledge base. Users report that the bot sometimes returns irrelevant answers. What should you do first?

You are training an Azure Custom Vision object detection model to locate pallets in warehouse photos. Your training set contains 500 images, but only 40 images include pallets, while the rest are empty aisles. The model performs poorly, often missing pallets. You need to improve detection while keeping training time reasonable. What should you do first?

You need to build a solution that reads text from images in multiple languages, including Arabic and English, and translates the text into English. The solution must preserve the original layout as much as possible. Which combination of Azure AI services should you use?

A company is building an agent using Azure AI Foundry Agent Service. The agent must be able to call an external REST API that returns real-time inventory data. The API requires an OAuth 2.0 token that changes frequently. Which approach should the team use to enable the agent to call this API securely?

Your organization has a large corpus of legal documents that need to be analyzed for specific clauses. You need to extract key information such as party names, dates, and monetary amounts. The solution must be able to handle varying document formats (PDF, Word, scanned images). Which combination of Azure AI services should you use?

Which TWO Azure AI services are most appropriate for extracting text from images and recognizing handwritten text?

Your organization is using Azure AI Document Intelligence to process a mix of invoices and purchase orders. You need to ensure that documents are correctly classified before extraction. Which THREE steps should you take?

You manage an Azure AI Search service that indexes legal documents. The search latency is high, and you need to improve query performance without reducing index size. Which action should you take?

You need to deploy a generative AI model that can generate images from text descriptions. Which Azure service should you use?

You are deploying a conversational AI chatbot using Azure AI Language service. The chatbot must be able to switch between multiple intents in a single conversation without restarting the session. Which feature should you enable?

Your organization is deploying a generative AI chatbot using Azure OpenAI Service. The chatbot must answer questions based on internal documents stored in Azure Blob Storage. You need to implement a retrieval-augmented generation (RAG) solution. Which THREE components are required? (Select THREE.)

A company uses Azure Form Recognizer to extract data from invoices. The extracted data contains many errors for a specific vendor's invoices. What should they do?

You are a machine learning engineer at a large retail company. The company has thousands of product descriptions that need to be updated regularly. They currently use a manual process. You propose using Azure OpenAI to generate new descriptions based on product attributes. You have a dataset of existing product descriptions and attributes stored in an Azure SQL Database. The solution must be cost-effective, scalable, and must not require retraining the model. You need to design the solution. You have the following options: Option A: Use Azure OpenAI with few-shot learning by including examples in the prompt for each product. Deploy the model on an Azure Kubernetes Service (AKS) cluster for high throughput. Option B: Use Azure OpenAI with prompt templates that include product attributes and call the API for each product. Use Azure Logic Apps to orchestrate the workflow and store results back to Azure SQL Database. Option C: Fine-tune a custom model on the existing product descriptions and deploy it as a managed endpoint. Use Azure Data Factory to batch process all products. Option D: Use Azure OpenAI with the batch API to generate descriptions for all products at once, using a single prompt that lists all products and attributes. Store the batch output in Azure Blob Storage and then import into Azure SQL Database. Which option should you choose?

Your Azure AI Language custom question answering project answers product questions from a knowledge base. Users report that the bot returns the same generic answer regardless of how they phrase a question, even when the knowledge base contains the correct information. You need to diagnose why the model is not matching semantically similar user phrasings to the right answer. What should you do first?

A company is building a knowledge mining solution using Azure AI Search. They need to extract text from handwritten notes stored as images in Azure Blob Storage. They want to use the built-in OCR skill in a skillset. Which cognitive service does the OCR skill rely on?

You are building a solution to extract key phrases from customer reviews using Azure AI Language. Which feature should you use?

You are a data scientist at a healthcare company. You have deployed a GPT-4 model using Azure OpenAI to answer patient inquiries about medical conditions. The model is configured with temperature=0.3 and max_tokens=200. Recently, the compliance team flagged that some responses contain contradictory information compared to the official medical guidelines. You need to ensure the model's answers align strictly with the provided medical documents (stored as PDFs in Azure Blob Storage). You have access to Azure Cognitive Search and Azure AI Document Intelligence. The solution must minimize hallucinations and not require retraining the model. What should you do?

You are building a mobile app that uses Azure AI Vision to generate captions for photos taken by users. The app must work offline in areas with no internet connectivity. Which Azure AI Vision feature should you use?

You are troubleshooting an Azure AI Search indexer that fails to index a PDF file stored in Azure Blob Storage. The error message indicates that the document is encrypted. What is the most likely cause and solution?

You deploy a chat application using Azure OpenAI Service. Users report that the model sometimes generates inappropriate content. You need to implement a safety system that can be customized for your organization's policies. What should you use?

Your organization is implementing a knowledge mining solution for a research institute that needs to extract chemical compound names and reactions from scientific articles in PDF format. The solution must use a custom model because the scientific terminology is not covered by built-in skills. You have trained a custom model using Azure AI Language's custom entity recognition (NER) and deployed it as a REST endpoint. You are using Azure AI Search with a skillset. How should you integrate the custom NER model into the enrichment pipeline?

You need to analyze a video stream from a security camera to count the number of people entering a building. Which Azure AI service is most suitable?

A travel agency wants its web app to summarize long customer complaint emails into a short paragraph that preserves the main points. The emails are in English and average 800 words. You need to use the extractive summarization feature of Azure AI Language and control how long the summary is. Which request parameter should you configure?

You are designing a generative AI solution that uses Azure OpenAI GPT-4 to answer customer support questions. The solution must comply with Microsoft's Responsible AI principles, particularly transparency and accountability. Which implementation approach best meets these requirements?

You are building a knowledge mining solution with Azure AI Search. The solution indexes scanned PDF reports stored in Azure Blob Storage. Each report contains multiple embedded images with text that must be searchable. You have already created a data source, index, and indexer. You need to ensure that text from the embedded images is extracted and mapped to the 'content' field in the index. Which two actions should you perform? (Choose two.)

An organization is deploying a conversational AI solution using Azure OpenAI. They want to ensure the model's responses are grounded in their own knowledge base documents to reduce hallucinations. Which approach should they implement?

You deploy an Azure AI Services resource using the ARM template shown in the exhibit. You need to test the Language service API from your local machine. What should you do first?

You are deploying a generative AI model using Azure AI Foundry. The model must be accessible only from a specific virtual network. Additionally, you need to monitor all API calls for auditing. Which two configurations are required? (Choose two.)

A team is building an agent with Azure AI Foundry Agent Service that must call several internal function tools. The team reports that the model sometimes invents function names that do not exist and passes arguments that do not match the tool schema. Which TWO practices should the team adopt to reduce these failures? (Choose two.)

You need to detect if a photo contains adult or racy content. Which Azure AI Computer Vision feature should you use?

You are deploying a Custom Vision model to a production environment. The model must handle 100 predictions per second with low latency. Which deployment option should you choose?

A marketing team uses Azure OpenAI Service to draft product descriptions. They report that outputs vary widely in tone and sometimes ignore the required brand voice. You need to make responses follow a fixed set of style rules consistently across all requests without changing the model deployment. What should you do?

Your company uses Microsoft 365 Copilot to generate meeting summaries. Some users report that summaries include information from meetings they did not attend. What is the most likely cause?

Your organization is building a chatbot using Azure OpenAI Service. The chatbot must provide citations from a set of internal documents stored in Azure Blob Storage. You need to configure the solution to minimize token usage while ensuring citations are accurate. Which approach should you use?

You are using Azure OpenAI to generate product descriptions. You notice that the descriptions are often too similar to each other. Which parameter should you adjust to increase diversity?

You are building a document processing solution that extracts information from invoices. The invoices come in various formats and languages. You need to extract line items, totals, and supplier names. Which THREE services should you combine?

Refer to the exhibit. An Azure Cognitive Services Computer Vision API call for image captioning is returning only one caption. The developer wants to get three possible captions ranked by confidence. Which parameter should be modified in the request?

A company builds a knowledge mining solution using Azure AI Search with a custom skillset that includes an OCR skill. They want to ensure that images embedded in PDFs are processed. What should they configure?

Refer to the exhibit. An administrator runs this Azure CLI command to deploy a GPT-4 model in Azure AI Foundry. The command fails with an error that the deployment name already exists. What should the administrator do to resolve the issue?

Which THREE components are required to implement a Retrieval-Augmented Generation (RAG) solution with Azure OpenAI Service? (Choose three.)

You are deploying a generative AI solution by using Azure OpenAI Service. The solution must ground model responses in a private Azure AI Search index that contains product manuals. You need to configure the model deployment so that the service automatically retrieves relevant chunks from the index and includes them in the prompt at inference time. Which configuration should you use?

You are developing a conversational language understanding (CLU) project in Azure AI Language. The project must recognize user intents and extract entities from utterances. You have trained and deployed the model. You need to call the prediction API from a client application. The deployment name is 'prod' and the project name is 'HRBot'. Which URL should you use to send an utterance for prediction?

You need to create a chatbot that uses Azure OpenAI to answer questions about your company's internal policies. The responses must be based only on the provided policy documents. Which approach should you use?

You are developing a custom text classification model using Azure AI Language. You have labeled 2000 documents across 10 categories. You need to evaluate the model's performance before deploying to production. Which THREE metrics should you examine?

You are deploying a chatbot using Azure AI Bot Service and Language Understanding (LUIS). The bot must understand user intent from free-text input. Which component should you train?

A team is prototyping an Azure OpenAI chat application and wants to iterate quickly on prompt wording without changing application code or redeploying. They also want to compare outputs from different prompt variants side by side. Which Azure AI Foundry feature should they use?

You are building a solution that must translate customer chat messages from Spanish to English in real-time. The solution must also detect the language of incoming messages to handle cases where users write in other languages. Which TWO Azure AI service features should you use?

You are planning to deploy an Azure AI solution that uses an Azure AI Services multi-service resource. The solution must be deployed across multiple Azure regions to provide high availability. You need to ensure that the solution can fail over automatically if one region becomes unavailable. What should you do?

A developer is building a mobile app that uses Azure Computer Vision to analyze images. The app needs to handle many requests with low latency. Which pricing tier should they choose?

You are designing an Azure AI solution that uses Language Understanding (LUIS) for intent detection. The solution must handle multiple languages dynamically based on the user's locale. What should you do?

Which TWO of the following are best practices for managing Azure AI services costs?

You are building a solution that uses Azure AI Language's sentiment analysis to monitor customer feedback. The feedback includes text in multiple languages, and you need to obtain sentiment scores at both the document level and the sentence level. Which API endpoint should you call?

Refer to the exhibit. You send this request to the Azure AI Language Service for custom entity recognition. The response returns no entities. What is the most likely reason?

Which TWO configurations are required to enable Azure AI Search to index content from an Azure SQL database?

Your organization is using Azure OpenAI Service to generate content. You need to ensure that the content meets safety guidelines by filtering harmful outputs. What should you configure?

You need to create a solution that extracts key-value pairs from scanned invoices using Azure AI Document Intelligence. The invoices have varying layouts. Which model should you use?

A retail company uses Azure Computer Vision to analyze customer traffic in stores. They deploy a custom object detection model to count customers and detect occupancy. After deployment, the model consistently underestimates the number of customers during peak hours. The company has retrained the model with more data but the issue persists. What is the most likely cause?

You are building a generative AI solution using Azure Machine Learning prompt flow. The solution must allow business analysts without coding experience to modify prompts and evaluate different model versions. What should you do?

A developer is creating a custom text classification model using Azure AI Language. The dataset has 10,000 documents across 50 categories. Which method is most suitable for labeling the data efficiently?

You are using Azure AI Language to analyze customer feedback. You need to identify the sentiment of each sentence within a review, not just the overall document sentiment. Which feature should you use?

Which THREE factors should you consider when designing a knowledge mining solution that uses Azure AI Search and custom skills to extract insights from large volumes of documents?

You are designing a solution to extract customer names and addresses from scanned handwritten forms. The forms are stored as images in Azure Blob Storage. The extraction must achieve high accuracy with minimal manual review. Which combination of Azure AI services should you use?

You are building an agentic solution using Microsoft Semantic Kernel. The agent uses a planner to orchestrate multiple functions. You want to improve the planner's ability to handle complex user requests that involve multiple steps. Which THREE strategies should you implement?

Which TWO Azure services can be used to perform optical character recognition (OCR) on images?

You are implementing an agent with Azure AI Agent Service that must run a multi-step task: retrieve a customer record, then create a support ticket containing that record. You want the agent to complete both steps in a single run and to be able to report intermediate progress. Which two capabilities should you rely on? (Choose two.)

You are building an Azure AI Search knowledge mining pipeline that enriches scanned PDF invoices. The PDFs are stored in Azure Blob Storage, and you need to extract text from each page before running downstream entity recognition. The solution must minimize development effort and rely on a built-in cognitive skill. Which skill should you add to the skillset?

You need to monitor the costs of your Azure AI services across multiple subscriptions. Which Azure tool should you use to track spending and set budgets?

A company uses Azure OpenAI to generate marketing copy. They want to ensure that the generated content does not contain offensive language. Which feature should they enable?

You are planning to deploy an Azure AI solution that uses Azure AI Language to analyze text. The solution must be able to process a high volume of requests and provide a service-level agreement (SLA) for availability. You need to choose the appropriate pricing tier. What should you do?

A media company is building a knowledge mining solution with Azure AI Search. They need to enrich video assets by extracting spoken words from the audio track and then indexing that transcript for search. Which two components must be included in the enrichment pipeline? (Choose two.)

A company uses Azure AI Language's custom named entity recognition (NER) to extract product names from support tickets. They have trained a model with 500 labeled entities across 200 documents. During evaluation, they notice the model has high precision but low recall for a specific product category. What should they do to improve recall for that category?

A company needs to extract personally identifiable information (PII) from customer support transcripts stored in Azure Blob Storage. Which Azure AI service should they use?

You are deploying an Azure AI solution that uses Azure Cognitive Services. You need to ensure that the API keys are stored securely and can be rotated automatically. What should you use?

You are using Azure AI Search to index a set of contracts. You need to extract named entities such as organizations, people, and dates from the contract text and store them as separate fields in the index. Which skill should you add to the skillset?

Which Azure AI service can be used to analyze sentiment in text data?

A developer is creating a custom question answering project in Azure AI Language. The knowledge base contains product manuals in PDF format. Which step is essential before importing the PDFs?

You are developing a mobile app that allows users to take a photo of a product and get information about it. The app must identify the product from the image. Which Azure AI service should you use?

A bank is deploying an Azure AI Foundry agent that provides account balance information over the phone. The agent must authenticate callers by using voice biometrics before revealing any account details. The bank wants to integrate this authentication step into the agent's conversation flow without exposing sensitive data to the language model. Which approach should the bank use?

You are developing a generative AI application that uses Azure OpenAI Service. The application must generate responses that are grounded in a specific set of documents stored in Azure Blob Storage. You want to use the simplest approach that allows the model to reference these documents without building a custom retrieval pipeline. What should you use?

You deploy a Custom Vision object detection model to classify vehicles. The model works well in good lighting but fails in low-light conditions. What is the most appropriate action?

You are a security engineer for a financial services company. The company uses Azure AI Language to analyze customer communications for compliance. The solution processes sensitive personal data. You need to ensure that all data transmitted to the Azure AI Language service is encrypted in transit and that the service endpoint is not accessible from the public internet. Additionally, you must use Microsoft Entra ID for authentication. The current implementation uses API keys and the public endpoint. You need to reconfigure the solution. What should you do?

Drag and drop the steps to implement an Azure AI Bot Service with QnA Maker into the correct order.

You are building a conversational language understanding (CLU) project in Azure AI Language. You need to ensure the model can correctly interpret user utterances that include both an intent and multiple entities. Which two actions should you perform? (Choose two.)

You are building a chatbot that must understand user intents from free-text input. You have a small set of labeled examples. Which Azure AI Language feature should you use to classify intents with minimal effort?

A company uses Azure AI Search to index documents from an Azure SQL Database. They need to ensure that deleted rows in the database are also removed from the search index during incremental indexing. They have configured the data source with change detection policies. What should they do to enable deletion detection?

You are using Azure OpenAI Service to generate code snippets for a development team. You notice that the generated code sometimes contains security vulnerabilities. You need to minimize the risk of generating insecure code while maintaining productivity. What should you do?

You are deploying an Azure AI solution that uses Azure OpenAI Service and Azure AI Language. The solution must ensure that each service has its own managed identity and that access to keys is restricted. You need to configure authentication for the services. What should you do?

Your Azure AI Agent Service agent occasionally calls a 'createOrder' tool with plausible but incorrect item codes. You must ensure that the order is created only when the item code exists in the product database, and that invalid calls are rejected before any order is written. Which approach should you take?

You are using Azure AI Foundry to fine-tune a GPT-3.5 model on a dataset of customer service conversations. The fine-tuning job fails with an error indicating that the training data format is invalid. What is the most likely issue?

You are building a generative AI solution using Azure OpenAI Service. The application must retrieve information from a large private knowledge base. You need to ensure the model uses only relevant documents from the knowledge base to generate answers. Which feature should you configure?

A financial services company uses Azure AI Language to analyze customer support transcripts. They want to identify the main topics discussed in each conversation and generate a summary of the key points. The solution must minimize development effort and use prebuilt functionality. You need to recommend the appropriate Azure AI Language features. What should you use?

Your team is using Azure AI Search to index a large collection of technical manuals. Users report that searches for 'disk failure' do not return relevant results because the manuals use terms like 'hard drive crash'. Which feature should you implement to improve recall?

A company wants to moderate user-generated images for adult content. Which Azure AI Vision feature should they use?

Which TWO Azure AI services can be used to perform optical character recognition (OCR) on images? (Choose two.)

You are implementing an agentic solution using Azure AI Agent Service with multiple agents that need to collaborate. Each agent has access to different knowledge bases. You want to ensure that the agents can share context and hand off tasks to each other seamlessly. Which architecture should you use?

A support team wants to build a bot that answers employee questions by using a set of internal HR policy documents. The team does not want to author question-and-answer pairs manually and needs the bot to return the most relevant passage from the documents, with the source cited. The documents are in English and are updated frequently in a blob container. Which Azure AI Language feature should the team use?

A healthcare company is using Azure AI Document Intelligence to extract patient data from forms. They need to ensure that all extracted data is encrypted at rest using a customer-managed key (CMK) and that the service endpoint is restricted to a specific virtual network. Which combination of steps should they take?

A company is developing a conversational AI solution using Microsoft Copilot Studio. They want the copilot to answer questions based on a knowledge base of technical documents. Which data source integration should they use?

A company is building an agent that needs to perform tasks like sending emails and updating a CRM system. The agent uses Azure OpenAI with function calling. The team defines functions for these tasks. When the agent is tested, it sometimes calls the wrong function or invents function names. What should the team do to improve the reliability of function calling?

You are building an Azure AI solution that uses Azure OpenAI Service to generate text. You need to ensure that the solution can handle up to 10,000 requests per minute. You also need to monitor the usage and set up alerts when the request rate exceeds 80% of the quota. What should you do?

You are designing an Azure AI Search solution that indexes documents from an Azure SQL Database. The documents include a field named 'content' that contains HTML markup. You need to strip the HTML tags and extract only the plain text before applying further enrichment. Which built-in skill should you use?

You are using Azure AI Language's conversational language understanding (CLU). The above JSON is a request to a CLU endpoint. What is the purpose of this request?

Your Azure AI Search index contains millions of documents. Users report that search results are slow for complex queries. You need to improve query performance without reducing result quality. Which action should you take?

You are implementing a chatbot using Microsoft Copilot Studio that helps employees find company policies. The chatbot must: - Use generative answers based on a SharePoint Online site. - Only respond with information from approved policy documents. - Include citations in responses. - Be accessible from Microsoft Teams. - Require no custom code. What should you do?

Your organization needs to analyze customer feedback from social media posts to determine the sentiment (positive, negative, neutral). The solution must process up to 10,000 posts per day and provide a confidence score for each sentiment. Which Azure AI service should you use?

You are using Azure OpenAI Service to generate marketing copy. The marketing team reports that the generated content sometimes contains factual inaccuracies. You need to improve the factual accuracy of the generated content. What should you do?

Which THREE factors should you consider when choosing between Azure AI Document Intelligence prebuilt models and custom models for invoice processing?

You need to extract key-value pairs from scanned forms as part of a knowledge mining solution. Which Azure AI service should you use?

You are prototyping a chat experience on Azure OpenAI and want the model to produce structured JSON that matches a schema your application can deserialize reliably. Which feature should you configure?

You are deploying a chat application using Azure OpenAI. The application should only answer questions based on a specific set of internal documents. Which THREE features should you use?

You need to generate an image of a cat wearing a hat using Azure OpenAI. Which model should you use?

You are deploying a conversational language understanding project in Azure AI Language for a banking chatbot. Testing shows the model frequently confuses the intents TransferFunds and PayBill because both utterances contain similar wording about moving money. You need to improve the model's ability to distinguish these two intents. What should you do?

Which THREE factors should be considered when choosing between Azure Computer Vision and Azure Custom Vision? (Choose three.)

You need to deploy a generative AI model that can be used by multiple applications within your organization. The model must support real-time inference with low latency. Which Azure service should you use?

Refer to the exhibit. A developer received this response from an Azure OpenAI chat completion call. The prompt was "What is the capital of France?". The finish_reason is "stop". What does this indicate?

Your company uses Azure AI Vision to analyze images. You receive an alert that the number of 429 (Too Many Requests) errors has increased significantly. What is the most likely cause?

A legal compliance team needs to automatically redact personally identifiable information (PII) from legal documents before sharing them with external auditors. The documents are stored in Azure Blob Storage. The solution must use Azure AI Language to detect PII and then redact the identified entities. The redaction must be performed on the original documents, and the redacted versions must be saved to a separate container. You need to design a serverless solution with minimal latency. What should you do?

Which TWO Azure AI services can be used to extract text from images as part of a knowledge mining pipeline?

A company wants to use Azure AI Language to automatically summarize large documents. The summarization must extract the most important sentences from each document. Which feature should they use?

Match each Azure Cognitive Services endpoint to its purpose.

You are the Azure AI engineer for a large e-commerce company. The company uses Azure Computer Vision to automatically tag product images uploaded by sellers. The system has been running smoothly for months. However, after a recent update to the Computer Vision API, you notice that certain images of clothing items are being tagged with incorrect labels, such as 'shoe' for a shirt. The images are clear and well-lit. You have confirmed that the image format (JPEG) is supported and the size is within limits. The issue occurs consistently for clothing items with similar colors. Other product categories work fine. You suspect the issue is related to the API version. What should you do first?

Your team has built a knowledge mining pipeline using Azure AI Search and Document Intelligence. After ingestion, you notice that some documents are not appearing in search results. What is the most likely cause?

You are deploying a Custom Vision object detection model to an Azure Container Instance for real-time inference. The model must respond within 500 ms. The default container runs on CPU. What should you do to meet the latency requirement?

You are building an Azure AI solution that uses Azure AI Language to analyze customer feedback stored in an Azure Blob Storage container. The container contains 500,000 small text documents. You need to minimize the total time required to analyze all documents and minimize the number of API calls. What should you do?

Which TWO actions should you take to optimize the performance of an Azure AI Search solution that indexes large volumes of data?

You are building an Azure AI Search enrichment pipeline that enriches documents with key phrases detected by Azure AI Language. You need the key phrases to be returned as a structured collection that can be mapped to a Collection(Edm.String) field in the search index, and you must avoid storing the enriched text in the enrichment cache. Which output mapping configuration should you use in the indexer?

Refer to the exhibit. You are creating an Azure Cognitive Services account using an ARM template snippet. What type of account is being created?

You are deploying an Azure AI solution that uses multiple Azure AI services resources. You need to ensure that all resources are deployed in a consistent manner and can be managed as a single unit. You also need to be able to assign permissions to the entire group of resources at once. What should you use?

You deploy a custom vision model using Azure AI Custom Vision. After deployment, you notice the model has high accuracy on training data but low accuracy on new images. What is the most likely cause?

Which TWO statements about Azure OpenAI Service content filters are true?

You are building a multilingual chatbot using Azure AI Language. For a given user utterance, you need to first detect the language, then route to the appropriate language-specific intent model. Which combination of Azure AI Language features should you use?

You are designing a knowledge mining solution for a manufacturing company that needs to extract information from equipment maintenance manuals. The manuals are in multiple languages (English, French, German). You need to ensure that the extracted content is searchable in English only. Which approach should you use?

You have a custom Named Entity Recognition (NER) model trained using Azure AI Language. The model is performing poorly on new data. You need to improve its accuracy. Which action should you take first?

You are designing a solution that must extract specific entities from customer emails, such as product names, order numbers, and dates. The solution must be able to learn from a small set of labeled examples and improve over time. Which Azure AI service should you use?

You are building a customer feedback dashboard with Azure AI Language. Analysts need to see, for each document, the overall sentiment and the sentiment expressed toward specific aspects such as shipping speed and product quality within the same request. The documents are short English reviews. Which feature and configuration should you use?

Which TWO Azure services can be used to perform optical character recognition (OCR) on documents? (Select two.)

Which THREE factors are critical to consider when designing a custom vision solution for a manufacturing quality inspection system?

A developer is building a multilingual translation solution using Azure AI Translator. The solution must translate text to French, German, and Spanish. Which parameter should the developer set to specify the target language?

You are designing a multilingual chatbot using Azure AI Language. The chatbot must support English, Spanish, and French. You need to minimize development effort and ensure consistent intent recognition across languages. What should you do?

You are deploying an Azure AI solution that uses Azure OpenAI Service. The solution must be deployed in a way that minimizes latency for users in Asia. However, the company's data residency policy requires data to stay in the United States. What should you do?

You are building a custom entity extraction solution using Azure AI Language. You have a small dataset (50 documents) with annotated entities. You need to train a model that can extract similar entities from new documents. What is the best approach?

Which THREE practices should be followed to secure an Azure AI solution that uses Azure OpenAI Service and Azure AI Search?

You are using Azure AI Custom Vision to classify images of animals. The training set has 1000 images of cats and 1000 images of dogs. After training, the model performs well on the test set. However, when deployed, it misclassifies images of wolves as dogs. What is the most likely cause?

A retail company uses Azure AI Vision to analyze shelf images for inventory management. They notice that the Object Detection model sometimes misses small items. What is the most effective way to improve detection of small objects?

A company wants to deploy an agent using Azure Bot Service that integrates with Microsoft Teams. Which THREE steps should the team take?

An organization uses Azure AI Search to power an internal knowledge base. They notice that search results are returning irrelevant documents. The index includes a 'content' field with full text and a 'tags' field with metadata. Users often search for specific terms that appear in the 'tags' field. How should you configure the search index to improve relevance?

You are planning a solution that uses Azure AI Document Intelligence to process invoices. The solution must be deployed to a production environment with high availability. You need to use an Azure Resource Manager (ARM) template to deploy the Document Intelligence resource. The template must ensure that the resource is deployed to two Azure regions. What should you do?

Which THREE actions can be performed using the Azure Custom Vision service?

You are planning to deploy an Azure AI Language resource that will be used by multiple applications. The applications must authenticate using Azure Active Directory (Azure AD) tokens. You need to assign the appropriate role to the applications' managed identities so they can call the Azure AI Language service. Which role should you assign?

You are building an application that uses the Azure OpenAI Assistants API. The assistant must maintain conversational context across multiple user turns and use a code interpreter to analyze uploaded CSV files. Which two actions should you perform? (Choose two.)

You need the project to support English, Spanish, and French. What change should you make to the command?

You are building an agentic solution using Azure AI Agent Service. The agent needs to send an email via Microsoft Graph API. Which authentication method should you use for the action?

You are building an Azure AI Search knowledge mining solution over a repository of scanned product manuals. You need to extract structured entities such as product names and part numbers from the OCR text and store them in an index field. (Choose two.)

You have an Azure AI Search indexer that uses a custom skill hosted in an Azure Function to normalize product codes. The function occasionally returns HTTP 429 responses. You need the indexer to retry these calls automatically without failing the entire indexing run. What should you configure?

You are building a generative AI solution using Azure AI Foundry. The solution must meet compliance requirements that require all model inputs and outputs to be auditable for a minimum of one year. What should you enable?

You need to monitor costs for an Azure AI solution that uses multiple Azure AI services. Which Azure tool should you use to set budgets and receive alerts?

A company wants to analyze customer reviews to determine whether sentiment is positive, negative, or neutral. The solution must also extract key phrases such as 'great battery life' and 'poor camera quality'. Which Azure AI feature should be used?

Refer to the exhibit. You are using Azure AI Document Intelligence with a layout model. The pipeline returns an empty tables array even though the document contains tables. The OCR step extracts text correctly. What is the most likely issue?

A company wants to use Azure AI Vision to extract text from scanned documents that contain both printed and handwritten text in multiple languages. The documents are large and can take several minutes to process. The solution must return the extracted text asynchronously. Which Azure AI Vision API should they use?

You are building a multilingual chatbot using Azure AI Language. The chatbot must handle English, Spanish, and French. You need to configure the LUIS (Language Understanding) model to support multiple languages efficiently. What is the best practice?

A financial services company is building a computer vision solution to automatically extract data from scanned checks. The solution must recognize handwritten amounts, printed account numbers, and signature presence. The company has a large dataset of labeled check images. They need high accuracy and the ability to retrain with new data. Which Azure service should they use?

Which THREE factors should you consider when selecting a model for a generative AI solution on Azure?

You need to generate realistic synthetic data for training a machine learning model while ensuring the data does not contain personally identifiable information (PII). Which Azure service should you use?

Your company uses Azure OpenAI to generate code snippets. Developers need to ensure that the generated code does not contain security vulnerabilities. What should you implement?

Which THREE of the following are capabilities of Azure AI Content Safety?

A company uses Azure AI Search to index customer support transcripts. They want to enable users to find relevant answers by asking natural language questions. Which feature should they enable in the search service?

You are building an agent for a legal firm that uses Azure OpenAI to analyze contracts. The agent must extract key clauses, identify risks, and summarize the contract. The agent uses a RAG pattern with Azure Cognitive Search as the vector database. After deployment, the agent sometimes returns irrelevant information or fails to find relevant clauses. You suspect the issue is with the chunking strategy. The contracts are large, typically 50-100 pages. Currently, you are chunking by page (each page is one chunk). You want to improve retrieval accuracy. Which action should you take?

Your team is developing a chatbot using Azure AI Bot Service. You need to ensure that the bot can handle multiple languages and respond appropriately. Which Azure AI service should you integrate to perform language detection?

A financial services firm wants to use Azure OpenAI to generate investment advice summaries. They must ensure that the model does not produce any advice that could be interpreted as personalized financial advice. What is the most effective strategy?

Your organization needs to analyze customer call transcripts to extract key insights, including sentiment, issues, and resolution. Which THREE Azure AI Language features should you use?

You are developing a chat application that uses Azure OpenAI GPT-4 to answer customer questions. You need to ensure the model does not generate harmful content. Which configuration should you set?

You are planning to deploy a custom neural voice (CNV) model using Azure AI Speech. You need to ensure that the deployment meets Microsoft's responsible AI requirements. Which two actions should you take? (Choose two.)

Your organization uses Azure AI Document Intelligence to extract data from invoices. The solution must identify custom fields not present in the prebuilt models, such as 'purchase order number' located in varying positions across documents. What should you do?

Which TWO monitoring metrics should you track to ensure the health and performance of an Azure AI Search service used for a customer-facing product catalog?

A developer is building a mobile app that uses Azure AI Vision to generate a descriptive caption for user-uploaded photos. The app must return a human-readable sentence describing the main content of each image. Which Image Analysis feature should the developer use?

Which THREE are required when planning to use Azure OpenAI Service for a generative AI application that must comply with responsible AI principles?

You are configuring an Azure OpenAI deployment for a generative AI solution that summarizes long legal contracts. Users report that summaries sometimes omit clauses near the end of documents. The documents are up to 120 pages. You need to improve completeness without changing the model. What should you do?

You are deploying an Azure AI solution that calls Azure OpenAI and Azure AI Language from an Azure Container Apps environment. The solution must authenticate to both services without using service keys, and the container app must be able to access the services even if the network is restricted to private endpoints. What should you configure?

Refer to the exhibit. You are configuring an agent in Azure AI Foundry. The agent fails to start because the specified model is not available in the current Azure OpenAI resource. What should you do to resolve the issue?

You are building an Azure AI solution that uses Azure AI Vision to analyze images. The solution must be able to extract text from images and return the text in a structured format. You need to choose the appropriate Azure AI Vision feature. What should you use?

You are using Azure AI Language Service to extract key phrases from customer reviews. You notice that for reviews containing the word 'not good', the service sometimes extracts 'good' as a key phrase. What is the most likely reason?

You are designing an agentic solution that uses Microsoft Copilot Studio and Azure AI Search. The agent needs to answer questions based on confidential documents. Which security measure should you implement to ensure the agent only accesses documents the user has permission to read?

You are using Azure AI Search to build a knowledge base for a customer support portal. The index includes a 'sentiment' field that should be populated using the Sentiment skill. However, the sentiment scores are not being written to the index. The skillset runs successfully. What is the most likely cause?

You are designing a chatbot using Azure AI Language. The chatbot must understand user intents and also extract entities like dates and locations. Which feature combination should you use?

You are deploying an Azure AI solution that uses Azure AI Document Intelligence to extract data from invoices. The solution must process documents in near real-time and must be able to handle sudden spikes in volume. You need to design the architecture to meet these requirements while minimizing cost. What should you use?

A legal team wants an assistant that drafts contract summaries. Their policy requires that every generated summary include traceable references to the exact clauses used and that reviewers be able to see which source passages informed each statement. You are using Azure OpenAI with your own document index. Which approach best meets the traceability requirement?

You are deploying an Azure AI solution that uses Azure OpenAI Service. The solution must ensure that all API calls are logged for auditing and that the logs are retained for 90 days. You need to configure diagnostic settings. What should you do?

You are developing an Azure AI Search solution that indexes scanned PDF invoices. The indexer must extract text from the PDFs and also recognize entities such as organization names and dates. You want to use built-in cognitive skills to minimize custom code. Which combination of skills should you include in the skillset?

You are a solution architect at a legal firm. The firm wants to build a copilot using Microsoft Foundry that answers questions about case law documents stored in Azure Blob Storage. The copilot should use the Retrieval Augmented Generation (RAG) pattern with Azure AI Search as the vector store. The documents are in PDF format and include complex tables and footnotes. The solution must ensure that the answers are grounded in the documents and that the copilot can handle follow-up questions. You need to design the ingestion pipeline. Which approach should you take?

A developer is tasked with integrating Azure OpenAI Service into an application that generates product descriptions. The developer needs to ensure that the generated content does not contain offensive language. Which Azure AI service should be used in addition to Azure OpenAI?

You are using Azure AI Language to analyze social media comments. You need to identify the language of each comment and then extract key phrases. Which TWO features should you use? (Select TWO.)

Your organization is using Azure AI Search to index a large collection of PDF documents stored in Azure Blob Storage. The index currently returns search results, but users complain that the results are not relevant when they search using natural language phrases. You need to improve the relevance of search results without rewriting the application. What should you do?

Which TWO Azure AI services can be used to build a multilingual question-answering bot that retrieves answers from a knowledge base of documents?

You are building a solution that must summarize long documents in real time as they are uploaded to Azure Blob Storage. The summaries must be concise and capture the main points. You want to use Azure AI Language. Which feature should you use?

You are designing a generative AI solution that uses Azure OpenAI Service. The solution must generate code snippets in Python and JavaScript. You need to ensure the model reliably outputs code in the correct language based on user input. Which approach should you use?

You are building a generative AI assistant on Azure OpenAI Service that must invoke backend business functions, such as checking order status and issuing refunds, in response to natural-language requests. You want the model to decide when a function is needed and to supply structured arguments, while your application retains control over execution. Which two actions should you take? (Choose two.)

Which TWO Azure AI services can be used to extract text from images and PDFs? (Select two.)

A company is deploying an Azure AI solution that uses Azure Cognitive Services. The solution must comply with data residency requirements that mandate all customer data be stored within a specific geographic region. Which action should the company take when creating the Cognitive Services resource?

You are creating an Azure AI Search indexer that processes documents from Azure Blob Storage. The documents include PDFs and images. You need to extract both text and image content, and then use the image content to generate captions via the Image Analysis skill. Which indexer configuration is required to enable image extraction and passing images to the skillset?

You have an Azure AI solution that uses Azure AI Language to perform sentiment analysis. The solution is experiencing high latency. Which action should you take to reduce latency?

A retail company wants to build a knowledge mining solution that indexes product descriptions stored in an Azure SQL Database and makes them searchable through a web application. The descriptions are already plain text. You need to configure Azure AI Search to pull the data into an index with the least effort. What should you create first?

A support organization uses Azure AI Language custom named entity recognition (custom NER) to extract product codes from warranty emails. The model performs well in production, but a new product line introduced codes formatted as two letters, a hyphen, and six digits, and the model misses them. You need the model to recognize the new format while keeping existing extraction quality. What should you do?

You are building a generative AI assistant that must summarize long technical manuals stored in Azure Blob Storage. The manuals are often 300 pages, and the model must produce a concise summary with references to page numbers. Which approach should you use?

You need to analyze the sentiment of social media posts in real time using Azure AI Language. Which approach should you use?

You are developing a solution that uses Azure AI Language to perform sentiment analysis on multilingual product reviews. The reviews are in English, German, and Japanese. You need to ensure that the sentiment score is accurate for each language. What should you do?