AI-102 Plan and manage an Azure AI solution Practice Test 8 — 15 Questions

Question 1

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?

Accepted Answer

The application is exceeding the transactions-per-second (TPS) limit.. HTTP 429 (Too Many Requests) is a rate-limiting response from Azure AI Vision when the client exceeds the allowed transactions-per-second (TPS) for the chosen pricing tier. The alert indicates the application is sending requests faster than the service's capacity, triggering throttling to protect backend resources.

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The endpoint URL is incorrect.

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The API key has expired.

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The service principal does not have the correct role assignment.

Question 2

You are planning an Azure AI solution that uses Azure AI Document Intelligence to extract data from scanned PDFs. The solution must support both structured and unstructured documents. The extracted data must be validated against a predefined schema before being stored in Azure Cosmos DB. What should you use for schema validation?

Accepted Answer

Azure AI Document Intelligence custom extraction model with a defined schema.. Option B is correct because Azure AI Document Intelligence custom extraction models allow you to define a schema (field names, types, and relationships) that the service uses to extract and validate data from both structured and unstructured documents. This built-in schema validation ensures extracted data conforms to your predefined structure before it is stored in Azure Cosmos DB, eliminating the need for additional validation logic.

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Azure Functions to parse and validate the extracted data.

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Azure AI Document Intelligence prebuilt model for invoices.

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Azure Logic Apps with a JSON schema validation step.

Question 3

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?

Accepted Answer

Increase the number of replicas.. Increasing the number of replicas distributes query load across multiple copies of the index, allowing parallel processing of search requests. This directly reduces query latency without altering the search logic, scoring profiles, or semantic enrichment, thus preserving search quality.

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Remove custom scoring profiles.

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Reduce the number of partitions.

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Disable semantic search.

Question 4

You need to provide a team of developers with access to manage Azure AI resources in a specific resource group. The developers should be able to create, read, update, and delete AI resources, but not manage access control (IAM). Which built-in role should you assign?

Accepted Answer

Contributor. The Contributor role grants full access to manage all resources within a resource group, including creating, reading, updating, and deleting Azure AI resources, but explicitly denies the ability to manage access control (IAM). This matches the requirement exactly, as developers need full resource management without IAM permissions.

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Cognitive Services Contributor

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Owner

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Reader

Question 5

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?

Accepted Answer

Configure the content filters in the Azure OpenAI Studio.. Option B is correct because content filters in Azure OpenAI Studio allow you to define severity levels (safe, low, medium, high) for categories like hate, sexual, violence, and self-harm, which are enforced at the inference API level to block or flag harmful outputs before they reach the user. This is the primary configuration for filtering model-generated content in Azure OpenAI Service.

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Enable the Responsible AI dashboard.

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Use Azure AI Content Safety APIs to analyze outputs.

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Set the system message to instruct the model to avoid harmful content.

Question 6

You are designing a solution that uses Azure AI Translator to translate documents in real-time. The solution must handle up to 10,000 characters per request and must be cost-effective. Which pricing tier should you select?

Accepted Answer

S1 (Standard). The S1 (Standard) tier is correct because it supports up to 10,000 characters per request for real-time document translation, which meets the requirement, and it is the most cost-effective paid tier for this workload. The Free tier (F0) has a limit of 5,000 characters per request and is not suitable for production use, while higher tiers like S2 and D3 are unnecessary and more expensive for this character limit.

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F0 (Free)

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D3 (Volume)

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S2 (Standard)

Question 7

Which TWO actions are valid ways to authenticate to Azure AI services?

Accepted Answer

Use an API key.. Option B is correct because Azure AI services accept API keys as a straightforward authentication method. Each service generates a pair of keys that must be included in the `Ocp-Apim-Subscription-Key` header of HTTP requests. Option C is correct because Microsoft Entra ID (formerly Azure AD) authentication with a service principal is fully supported for Azure AI services, allowing token-based authentication via the `Authorization` header with a bearer token obtained from the Microsoft identity platform.

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Use a client certificate.

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Use a shared access signature (SAS) token.

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Use a managed identity.

Question 8

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

Accepted Answer

Azure Bot Service (hosting). Azure Bot Service is the hosting component that provides a managed environment for deploying and running bots, integrating with channels like Teams, Slack, and Web Chat. It handles authentication, state management, and scaling, making it a core part of the Azure AI Bot Service.

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Azure AI Search

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Azure AI Language (CLU)

Question 9

Which TWO factors should you consider when choosing between Azure AI Document Intelligence and Azure AI Language for extracting information from documents?

Accepted Answer

Need to process handwritten text. Option B is correct because Azure AI Document Intelligence (formerly Form Recognizer) is specifically designed to handle handwritten text through its 'Read' OCR model, which can extract printed and handwritten text from documents. Azure AI Language, on the other hand, focuses on natural language processing (NLP) tasks like sentiment analysis and entity recognition, and does not natively process handwritten content. Therefore, if your document contains handwritten notes, Document Intelligence is the appropriate service.

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Use of REST APIs

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Ability to extract key-value pairs

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Real-time processing requirements

Question 10

Refer to the exhibit. You are configuring content filtering for an Azure OpenAI deployment using a JSON policy. You want to block all content with a 'Hate' severity of 'medium' or higher. What should you modify in the policy?

Accepted Answer

Modify the "severityThreshold" for "Hate" to "medium".. Option C is correct because in Azure OpenAI content filtering, the 'severityThreshold' for a given category (like 'Hate') defines the minimum severity level at which content is filtered. Setting it to 'medium' means all content with a severity of 'medium' or higher (including 'high') will be blocked, which matches the requirement to block 'Hate' severity 'medium' or higher.

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Change the "severityThreshold" for "SelfHarm" to "low".

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Change the "contentTypes" to include only "Normal".

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Add a "policyAction" with "block" to the "BlockHateSpeech" policy.

Question 11

Refer to the exhibit. You are creating an Azure AI Search index. You want to enable semantic search using the 'content' field as both the title and the content. However, you receive an error that semantic search cannot be configured. What is the most likely reason?

Accepted Answer

The 'contentFields' list is empty; semantic search requires at least one content field or keywords field.. Option D is correct because semantic search in Azure AI Search requires at least one field specified in the 'contentFields' list to provide the textual content for semantic ranking. If the 'contentFields' list is empty, the service cannot extract semantic meaning from the index, resulting in the configuration error. The 'content' field can serve as both title and content if properly assigned, but the error indicates the list itself is missing entries.

Answer

The 'content' field is of type 'Edm.String', which is not supported for semantic search.

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The 'content' field is not searchable.

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The index does not have a sortable field for the title.

Question 12

Refer to the exhibit. You deployed a Conversational Language Understanding (CLU) project. A user says 'hi, where is my order?' The model returns a single intent 'Greeting' with confidence 0.85. You need the model to detect both intents. What should you change?

Accepted Answer

Set 'multipleIntents' to true.. Option C is correct because the Conversational Language Understanding (CLU) service supports multi-intent detection only when the 'multipleIntents' flag is explicitly set to true in the project settings. By default, CLU returns only the highest-confidence intent; enabling this flag allows the model to return all intents whose confidence exceeds the threshold, enabling detection of both 'Greeting' and 'OrderStatus' from a single utterance.

Answer

Lower the confidenceThreshold to 0.5.

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Add more utterances to the 'OrderStatus' intent.

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Change the project kind to 'Orchestration'.

Question 13

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?

Accepted Answer

Azure AI Translator. Azure AI Translator is the correct resource because it provides real-time text translation across multiple languages, including English, Spanish, and French, via a dedicated REST API. The scenario specifically requires translation between languages, not speech recognition or generative AI, making Azure AI Translator the precise service for this task.

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Azure AI Speech

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Azure OpenAI Service

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Azure AI Language

Question 14

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?

Accepted Answer

Create a private endpoint and associate a customer-managed key in the resource encryption settings. Option D is correct because it combines a private endpoint (which restricts the service endpoint to a specific virtual network by providing a private IP address within that VNet, eliminating public internet exposure) with a customer-managed key (CMK) in the resource encryption settings, which ensures data at rest is encrypted using a key stored in Azure Key Vault that the customer controls. This directly meets both requirements: network isolation via private endpoint and CMK-based encryption at rest.

Answer

Use a service endpoint and configure a managed identity

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Disable public network access and enable CMK via Azure Key Vault

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Configure IP firewall rules and enable CMK via Azure Key Vault

Question 15

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?

Accepted Answer

URLs or files containing FAQ content. Option A is correct because Azure AI Language custom question answering is designed to ingest structured FAQ content from URLs or files. When you create a custom project, selecting 'URLs or files containing FAQ content' as the data source type allows the service to automatically extract question-answer pairs from the provided documents, ensuring the solution only answers questions based on that specific set of internal FAQs.

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Prebuilt model from Azure AI Language

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Azure SQL Database with a QnA Maker schema

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Azure Cognitive Search index