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

Question 1

Your organization is deploying Azure AI Document Intelligence to process invoices. You need to ensure that the solution meets compliance requirements by preventing data from being stored outside the European Union. What should you configure?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Create the Azure AI Document Intelligence resource in a region within the European Union and configure data residency settings.. Creating the Azure AI Document Intelligence resource in an EU region and configuring data residency settings ensures that all data processed by the service remains within the European Union, meeting compliance requirements. Azure AI Document Intelligence does not automatically guarantee data residency based solely on the resource region; explicit data residency configuration is required to prevent data from being stored or processed outside the specified geographic boundary.

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Deploy Azure AI Document Intelligence in a multi-region configuration across EU datacenters.

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Enable the Resource Firewall on the Azure AI Document Intelligence resource.

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Use a Private Endpoint to connect to the Azure AI Document Intelligence resource.

Question 2

You are using Azure AI Language to perform sentiment analysis on customer feedback. You need to monitor the number of requests sent to the endpoint per minute. Which Azure service should you use?

Accepted Answer

Azure Monitor. Azure Monitor is the correct service because it provides platform metrics, including the 'Requests Per Minute' metric for Azure AI Language endpoints. This metric is automatically collected and can be viewed in the Azure portal, set up alerts on, or queried via the Azure Monitor REST API. It directly answers the need to monitor request rate without additional configuration.

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Azure Cost Management

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Azure Advisor

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Azure Log Analytics

Question 3

Your team is developing a chatbot using Azure AI Bot Service with language understanding via Azure AI Language (CLU). You need to ensure that the chatbot can handle multiple intents in a single user utterance and return confidence scores for each. Which configuration should you use?

Accepted Answer

Use a Conversational Language Understanding (CLU) project with the 'Multiple intents' setting enabled.. Azure AI Language's Conversational Language Understanding (CLU) supports a 'Multiple intents' setting that allows the model to predict multiple intents from a single utterance, each with its own confidence score. This is the native way to handle multi-intent scenarios without requiring orchestration or custom logic.

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Use an Orchestration workflow project that connects to multiple CLU projects.

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Use a standard CLU project and manually combine intents.

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Use Azure AI QnA Maker with custom logic to detect intents.

Question 4

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 5

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 6

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 7

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.. 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 8

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 9

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

Accepted Answer

Use an API key.. 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 10

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 11

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. 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 12

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".. 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 13

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.. 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.

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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 14

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.. 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.

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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 15

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.

Answer

Azure AI Speech

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Azure OpenAI Service

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Azure AI Language