AI-102 Practice Test 12 — 15 Questions

Question 1

You are planning an Azure AI solution that processes sensitive customer data. Compliance requires encryption at rest using a customer-managed key (CMK) stored in Azure Key Vault. The AI resource must also be accessible only from specific virtual networks. Which two configurations are necessary? (Choose two.)

Accepted Answer

Enable customer-managed key encryption for the Azure AI service.. This is a multi-select question requiring two correct answers. Option A is correct because CMK support is required for encryption at rest. Option C is correct because private endpoints enable network isolation. Option B is incorrect because managed identity is not required for network access. Option D is incorrect because Azure Firewall is not required. Option E is incorrect because public network access must be disabled, not allowed.

Answer

Assign a system-assigned managed identity to the Azure AI service.

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Deploy Azure Firewall to inspect outbound traffic.

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Enable public network access from selected IP addresses.

Question 2

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?

Accepted Answer

prebuilt-invoice. The prebuilt-invoice model is specifically designed to extract line-item details such as product code, quantity, and unit price from invoices. It uses deep learning models trained on thousands of invoice samples to identify and extract structured data, including tables and line items, making it the correct choice for this requirement.

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prebuilt-receipt

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prebuilt-idDocument

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prebuilt-layout

Question 3

Your team is building an AI-powered search application using Azure AI Search with semantic ranking. During testing, the search results are not showing the expected relevance improvements. What should you check first?

Accepted Answer

Confirm that the search service is at least Standard S1 and semantic ranking is enabled. Semantic ranking in Azure AI Search requires a service tier of at least Standard S1 (or higher) and the feature must be explicitly enabled on the index. Without meeting these prerequisites, the search results will not benefit from semantic reranking, regardless of other configurations. Therefore, confirming the service tier and semantic ranking enablement is the first and most critical check.

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Verify that CORS is enabled for your application

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Check that your index has an RBAC role assignment for semantic search

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Ensure the search service is on the Free tier

Question 4

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?

Accepted Answer

Azure Machine Learning managed online endpoints. Azure Machine Learning managed online endpoints are the correct choice because they provide fully managed, autoscaling endpoints specifically designed for real-time inference. They support custom container images, allowing you to deploy any model packaged as a Docker container, and handle traffic splitting, health checks, and scaling automatically without managing underlying infrastructure.

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Azure Functions

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Azure Kubernetes Service (AKS) with manual scaling

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Azure AI Services custom vision

Question 5

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.. Option A is correct because 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.

Answer

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 6

You are designing an AI solution that uses Azure OpenAI Service to answer customer queries. The solution must ensure that the model does not generate harmful or inappropriate content. Which Azure AI service should you configure to enforce content safety policies?

Accepted Answer

Azure AI Content Safety. Azure AI Content Safety is the dedicated service for detecting and filtering harmful content such as hate speech, violence, self-harm, and sexual content. It provides configurable severity thresholds and can be integrated with Azure OpenAI Service to enforce content safety policies on model inputs and outputs. This ensures the AI solution meets responsible AI requirements without modifying the underlying model.

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Azure AI Speech

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Azure OpenAI Service

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Azure AI Search

Question 7

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

Accepted Answer

An active Azure subscription. An active Azure subscription is the primary requirement because Azure AI Content Safety is a cloud-based service that requires a valid subscription for resource provisioning, API access, and billing. Without an Azure subscription, you cannot create the Content Safety resource or authenticate API calls, regardless of other configurations.

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Data must be stored in the same region as the service

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All users must have Microsoft Entra ID P2 licenses

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The application must be written in C#

Question 8

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?

Accepted Answer

Microsoft Sentinel. Microsoft Sentinel is a cloud-native Security Information and Event Management (SIEM) and Security Orchestration Automated Response (SOAR) solution. It is specifically designed to ingest logs from Azure AI services, apply analytics to detect unusual activity patterns, and generate alerts for potential security threats, making it the correct choice for monitoring AI services for security anomalies.

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Microsoft Intune

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Microsoft Defender XDR

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Microsoft Purview

Question 9

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?

Accepted Answer

Azure Cost Management. Azure Cost Management is the dedicated tool for monitoring, analyzing, and controlling cloud spending across multiple subscriptions. It provides cost analysis, budget creation, and alerting capabilities specifically designed for tracking Azure AI services costs at scale.

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Azure Portal

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Azure Monitor

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Azure Advisor

Question 10

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

Accepted Answer

Implement a human-in-the-loop review for critical decisions. Option A and C are correct. Option A is correct because an AI fairness assessment detects bias. Option C is correct because a human-in-the-loop review provides oversight. Option B is wrong because storing all data indefinitely violates privacy. Option D is wrong because performance is not a responsible AI practice. Option E is wrong because removing all metrics hinders transparency.

Answer

Optimize the model for maximum throughput

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Store all training data indefinitely for auditability

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Remove all explainability metrics to simplify the model

Question 11

You are designing a solution that uses Azure AI Document Intelligence to extract data from invoices. The invoices are in various formats (PDF, TIFF, and JPEG) and languages. You need to ensure high accuracy for extraction. Which approach should you take?

Accepted Answer

Use a custom extraction model trained on a sample set of invoices covering all formats and languages.. Option D is correct because Azure AI Document Intelligence’s custom extraction models are trained on your specific invoice samples, enabling the model to learn the unique layouts, fields, and languages present across PDF, TIFF, and JPEG formats. This approach directly addresses the need for high accuracy on varied formats and languages, as the model adapts to the exact patterns in your data rather than relying on a generic prebuilt model or brittle post-processing.

Answer

Use the prebuilt invoice model and configure language detection.

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Use Azure AI Vision OCR to extract all text and then parse using regular expressions.

Answer

Convert all invoices to a single format (e.g., PDF) before processing.

Question 12

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 13

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?

Accepted Answer

The model is using a tool to answer the question, so content is null. Option C is correct because in Azure OpenAI Service function calling, when the model determines that it needs to invoke a tool (e.g., an external API or database query) to fulfill the user's request, it returns a `tool_calls` object with `content` set to `null`. This is the expected behavior—the model is signaling that it is delegating the response to the tool, not that it has failed or is blocked.

Answer

The model is unable to answer the question and returned an error

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The system message is preventing the model from responding

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The function call syntax is invalid and the model skipped it

Question 14

Which TWO actions should you take to ensure compliance with data residency requirements when using Azure AI services across multiple regions?

Accepted Answer

Configure the AI service's data residency settings to restrict data to the region. Option A is correct because deploying resources in the required region ensures data stays there. Option E is correct because configuring data residency settings in the service prevents cross-region data movement. Option B is incorrect because data may still move across regions. Option C is incorrect because Azure Front Door does not affect data residency. Option D is incorrect because disabling redundancy does not guarantee data residency.

Answer

Use a global Azure AI service resource and configure geo-replication

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Enable Azure Front Door to route traffic to the nearest region

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Disable data replication for the AI service

Question 15

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?

Accepted Answer

Enable Bing Spell Check in the LUIS app settings. Option C is correct because enabling Bing Spell Check in the LUIS app settings allows the service to automatically correct typos in user utterances before they are processed for intent recognition. This built-in feature integrates directly with LUIS at the endpoint, correcting misspelled words to improve the accuracy of intent and entity extraction without requiring manual data augmentation or external services.

Answer

Add synonym lists for common misspellings

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Use Azure Cognitive Search to correct typos

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Train the model with many examples containing typos