AI-102 Plan and manage an Azure AI solution Practice Test 2 — 15 Questions

Question 1

Refer to the exhibit. You are configuring an Azure AI Foundry agent for customer support. The agent uses Azure AI Search for retrieval and Azure OpenAI for generation. Users report that the agent provides correct answers but sometimes includes inappropriate language. What is the most likely cause?

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

Accepted Answer

The content safety blocklist is not applied to the chat output. Azure AI Foundry agents rely on Azure OpenAI content filtering to block harmful language in generated responses. If the content safety blocklist is not applied to the chat output, the agent can produce inappropriate language even when the retrieved information is accurate. The blocklist must be explicitly configured to filter the final output of the agent.

Answer

The OpenAI deployment 'gpt-4o' does not support content filtering

Answer

The content safety threshold should be set to 'low' to block more content

Answer

The semantic configuration is not optimized for safety

Question 2

A company uses Azure AI Search to index product catalogs. The search must support multilingual queries and return results in the user's language. What should you configure?

Accepted Answer

Assign appropriate language analyzers to fields. Azure AI Search allows you to assign language-specific analyzers (e.g., Microsoft English, French, Arabic) to individual fields in the index. When a query is submitted, the search engine uses the analyzer associated with the field to tokenize and normalize the text according to the linguistic rules of that language, enabling accurate multilingual search and returning results in the user's language.

Answer

Create synonym maps for each language

Answer

Configure scoring profiles based on language

Answer

Enable semantic search

Question 3

Refer to the exhibit. You are using Azure OpenAI to build a trivia bot. The bot responds correctly to simple questions but sometimes gives overly verbose or off-topic answers. Which parameter should you adjust to make responses more focused?

Accepted Answer

Decrease temperature. Decreasing the temperature parameter reduces the randomness of the model's output, making it more deterministic and focused. For a trivia bot that gives overly verbose or off-topic answers, lowering temperature (e.g., from 0.7 to 0.3) forces the model to choose higher-probability tokens, which typically correspond to more concise and relevant responses.

Answer

Increase temperature

Answer

Decrease top_p

Answer

Increase max_tokens

Answer

Decrease max_tokens

Question 4

A healthcare organization uses Azure AI Language to extract medical entities from clinical notes. The solution must comply with HIPAA. What should you configure?

Accepted Answer

Use Azure AI Language with HIPAA-enabled service and enable encryption. Azure AI Language can be configured with a HIPAA-eligible service tier, and enabling encryption at rest and in transit ensures compliance with HIPAA's security and privacy rules. This configuration meets the healthcare organization's requirement to protect protected health information (PHI) when extracting medical entities from clinical notes.

Answer

Configure data residency to a specific region

Answer

Enable content filtering

Answer

Isolate the service in a virtual network

Question 5

Refer to the exhibit. You deploy an Azure AI Services multi-service account using this ARM template. After deployment, developers cannot access the service from their local machines. What is the most likely reason?

Accepted Answer

The network ACLs block all traffic by default. The ARM template for an Azure AI Services multi-service account includes a `networkAcls` property with `defaultAction` set to `Deny`. This configuration blocks all traffic by default, including requests from developers' local machines, unless an explicit IP rule or virtual network rule is added to allow access. Since no such rules are shown in the exhibit, the network ACLs are the most likely cause of the connectivity failure.

Answer

The location is not specified correctly

Answer

The pricing tier S0 does not support network restrictions

Answer

The custom subdomain name is not globally unique

Question 6

You are deploying a custom question-answering solution using Azure AI Language. The solution must support multiple languages and provide answers from a set of FAQ documents. You need to ensure that the service can handle up to 1000 requests per minute with low latency. What should you configure?

Accepted Answer

Use the Standard tier and allocate 10 capacity units (CUs).. Azure AI Language's custom question-answering feature uses a Standard tier with capacity units (CUs) to handle throughput and latency. Each CU provides a baseline of 100 requests per minute (RPM), so 10 CUs deliver exactly 1000 RPM, meeting the requirement. The Standard tier also supports multiple languages and low-latency responses from FAQ documents.

Answer

Use Azure AI Search with a basic tier and replicas.

Answer

Use the Free tier and enable autoscaling.

Answer

Deploy a dedicated endpoint with provisioned throughput of 1000 TPS.

Question 7

You are designing a responsible AI solution for a healthcare application that uses Azure AI Vision to analyze medical images. The solution must minimize bias across demographic groups and provide explainability for predictions. Which combination of services should you use?

Accepted Answer

Azure AI Content Safety for content moderation and Fairlearn with Azure Machine Learning interpretability.. Azure AI Content Safety helps filter harmful content and reduce bias in model outputs, while Fairlearn with Azure Machine Learning interpretability provides tools to assess fairness across demographic groups and explain model predictions. This combination directly addresses the requirements of minimizing bias and providing explainability for medical image analysis.

Answer

Azure AI Document Intelligence for extracting metadata and Azure AI Language for sentiment analysis.

Answer

Azure AI Translator for multilingual support and Azure AI Metrics Advisor for monitoring.

Answer

Azure AI Search for indexing results and Azure AI Anomaly Detector for outliers.

Question 8

You are deploying an Azure AI Search solution for a global e-commerce platform. The index must support real-time updates from a product catalog stored in Azure Cosmos DB, with a maximum indexing latency of 10 seconds. The solution must also handle 5000 queries per second (QPS) during peak hours. What should you configure?

Accepted Answer

Use Standard S3 tier with 12 replicas and enable incremental indexing.. The Standard S3 tier supports high query volumes (up to 5000 QPS) with 12 replicas, and incremental indexing enables near-real-time updates from Cosmos DB by processing only changed documents, keeping latency under 10 seconds. The combination of sufficient replicas for throughput and incremental indexing for low-latency indexing meets both requirements.

Answer

Use the Storage Optimized L2 tier with 6 partitions and 4 replicas.

Answer

Use the Free tier and enable change tracking on Cosmos DB.

Answer

Use Standard S2 tier with 3 replicas and indexer scheduling every 5 minutes.

Question 9

Which TWO actions should you take to ensure compliance with data privacy regulations when using Azure AI Language to process customer support transcripts that contain personally identifiable information (PII)?

Accepted Answer

Enable PII detection and redaction in the Azure AI Language service.. Option D is correct because Azure AI Language provides a built-in PII detection and redaction capability (the 'PiiEntityRecognition' feature) that identifies and masks entities such as names, phone numbers, and email addresses in transcripts, which directly supports data privacy compliance by preventing PII from being exposed in downstream processing. Option E is correct because selecting the appropriate Azure region ensures data residency, meaning transcripts and any stored results remain within the required geographic boundary, which is a common regulatory requirement (e.g., GDPR, HIPAA, or local data sovereignty laws). Option A is incorrect because disabling diagnostic logging reduces auditability and does not by itself satisfy privacy obligations; logging can be configured to exclude PII rather than being turned off. Option B is incorrect because customer-managed keys (CMK) address encryption key control at rest but do not handle the core privacy requirement of detecting and removing PII from the processed content. Option C is incorrect because Azure AI Content Safety filters harmful content categories (violence, hate, sexual, self-harm) and does not anonymize or redact PII.

Answer

Disable diagnostic logging for the resource.

Answer

Use customer-managed keys (CMK) for encryption.

Answer

Apply Azure AI Content Safety filters to anonymize personal data.

Question 10

Which THREE considerations are essential when designing a cost management strategy for an enterprise Azure AI solution that uses multiple AI services, including Azure OpenAI Service, Azure AI Language, and Azure AI Vision?

Accepted Answer

Choose provisioned throughput units (PTUs) for Azure OpenAI Service for predictable workloads.. Option B is correct because provisioned throughput units (PTUs) in Azure OpenAI Service reserve dedicated model capacity with a fixed hourly/monthly cost, which is the recommended approach for predictable, steady-state workloads and avoids the variable per-token charges of pay-as-you-go. Option C is correct because a single multi-service Cognitive Services (Azure AI Services) resource lets you access Azure OpenAI, Azure AI Language, and Azure AI Vision under one account and one billing key, simplifying cost tracking, consolidating quotas, and reducing management overhead across services. Option E is correct because enabling autoscaling on Azure AI Language lets capacity scale with demand so you pay only for the throughput you need during peak periods while scaling down during idle times, directly optimizing consumption-based cost. Option A is not appropriate because Free tiers have strict request/rate limits and are unsuitable for enterprise production workloads, and they do not support the scale or SLAs required. Option D is not a cost management consideration: Azure Site Recovery is a business continuity/disaster recovery service that replicates workloads across regions and adds cost rather than optimizing it.

Answer

Use the Free tier for all services to minimize upfront costs.

Answer

Deploy Azure Site Recovery to replicate AI services across regions.

Question 11

You are developing a chatbot using Azure AI Bot Service that uses Azure OpenAI Service for natural language understanding. The chatbot must be deployed in multiple regions for low latency. However, the customer requires that all customer data remain within the European Union. Which architecture should you recommend?

Accepted Answer

Deploy the bot and all supporting services in multiple EU regions, e.g., West Europe and North Europe, without cross-region data replication.. Deploying the bot and all supporting services in multiple EU regions (e.g., West Europe and North Europe) ensures low latency for users across Europe while keeping all customer data within the European Union. Azure OpenAI Service and Azure AI Bot Service can be deployed regionally without cross-region data replication, satisfying the data residency requirement. This architecture avoids any data leaving EU boundaries while providing geographic redundancy for performance.

Answer

Deploy the bot in a single EU region and rely on CDN for static content.

Answer

Use Azure Front Door to route traffic to a single bot hosted in West Europe.

Answer

Deploy the bot in multiple global regions and use Cosmos DB with multi-region writes.

Question 12

Which TWO Azure services can be used to monitor and analyze the usage costs of an Azure AI solution that includes multiple Cognitive Services accounts?

Accepted Answer

Azure Cost Management + Billing. Azure Cost Management + Billing (C) is correct because it is the dedicated service for monitoring, analyzing, and reporting Azure usage costs across subscriptions and resource groups, including multiple Cognitive Services accounts, via cost analysis, budgets, and exports. Azure Monitor metrics and logs (E) is correct because it collects metrics and diagnostic logs from each Cognitive Services resource, enabling usage analysis (e.g., transaction counts, latency, and call volume) that can be correlated with cost drivers. Azure Service Health (A) only reports platform outages, planned maintenance, and health advisories, not cost data. Azure Policy (B) enforces governance and compliance rules on resources but does not monitor or analyze spending. Azure Advisor (D) provides cost, security, reliability, and performance recommendations, but it is advisory rather than a monitoring and analysis tool for usage costs.

Answer

Azure Service Health

Answer

Azure Policy

Answer

Azure Advisor

Question 13

You need to provide a team of data scientists with access to an Azure Machine Learning workspace. The data scientists should be able to create and run experiments, but they should not be able to delete the workspace or modify its configuration. Which built-in role should you assign?

Accepted Answer

Contributor. The Contributor role allows creating and managing resources within the workspace, including experiments, but not deleting the workspace or modifying its configuration. Option B is wrong because Reader is read-only and cannot create experiments. Option C is wrong because User Access Administrator primarily manages user access and permissions, not resource creation. Option D is wrong because Owner grants full control, including the ability to delete the workspace and modify its configuration.

Answer

Reader

Answer

User Access Administrator

Answer

Owner

Question 14

You are deploying an Azure AI multi-agent solution on Microsoft Foundry. The solution uses three agents that must share context and pass tasks among themselves. To ensure reliable orchestration and traceability, which agent pattern should you implement?

Accepted Answer

Sequential agent pattern. The sequential agent pattern is correct because the scenario requires agents to share context and pass tasks among themselves in a reliable, traceable manner. In Microsoft Foundry, the sequential pattern ensures each agent executes in a defined order, passing state and results to the next agent, which provides clear orchestration and full traceability of the workflow.

Answer

Parallel agent pattern

Answer

Sub-agent pattern

Answer

Custom agent pattern

Question 15

Your team uses Azure AI Studio to deploy a large language model endpoint. You need to monitor for prompt injection attacks. Which Azure AI safety feature should you enable?

Accepted Answer

Azure AI Content Safety. Azure AI Content Safety is the correct feature because it provides built-in detection for prompt injection attacks by analyzing user inputs for malicious content, such as jailbreak attempts or indirect injection patterns. This service integrates directly with Azure AI Studio endpoints to filter harmful prompts before they reach the LLM, ensuring compliance with responsible AI practices.

Answer

Azure AI Agent Service

Answer

Azure AI Search

Answer

Azure OpenAI Service