AI-102 Plan and manage an Azure AI solution Practice Test 4 — 15 Questions

Question 1

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?

Accepted Answer

Increase the number of replicas. Increasing the number of replicas distributes query load across multiple copies of the index, which directly improves query throughput and reduces latency. Replicas are designed for scaling query operations without changing the index size or storage capacity.

Answer

Upgrade to a higher pricing tier

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Increase the number of partitions

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Reduce the number of searchable fields

Question 2

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

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Enable content filtering

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Isolate the service in a virtual network

Question 3

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

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The pricing tier S0 does not support network restrictions

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The custom subdomain name is not globally unique

Question 4

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?

Accepted Answer

Integrate a static code analysis tool into the CI/CD pipeline to scan generated code. Integrating a static code analysis tool (e.g., Microsoft Defender for DevOps, SonarQube, or Checkmarx) into the CI/CD pipeline allows automated scanning of generated code for security vulnerabilities before deployment. This approach directly addresses the requirement to ensure generated code is free of vulnerabilities, as Azure OpenAI content filters are not designed to detect code-level security flaws like SQL injection or buffer overflows.

Answer

Set usage quotas to limit the number of code generation requests

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Fine-tune the model on a dataset of secure code examples

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Configure Azure OpenAI content filters to block vulnerable code

Question 5

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?

Accepted Answer

Azure AI Translator Document Translation. Azure AI Translator Document Translation is specifically designed to translate entire documents while preserving the original formatting, structure, and layout. Unlike Text Translation, which handles only plain text strings, Document Translation processes files (e.g., PDF, Word, Excel) and returns a translated version with the same formatting, making it the correct choice for this requirement.

Answer

Azure AI Translator Custom Translator

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Azure AI Document Intelligence

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Azure AI Translator Text Translation

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.

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Use the Free tier and enable autoscaling.

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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.

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

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

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

Question 8

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?

Accepted Answer

Azure AI Content Safety filters.. Azure AI Content Safety filters are specifically designed to detect and block offensive, inappropriate, or harmful language in text and images. By enabling these filters on your Azure OpenAI Service deployment, you can configure severity thresholds for categories like hate, self-harm, sexual, and violence content, ensuring generated marketing content meets safety policies.

Answer

Audit logging for all API calls.

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Data encryption at rest.

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Rate limiting on the endpoint.

Question 9

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.

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

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

Question 10

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.. Azure AI Language's PII detection and redaction feature is specifically designed to identify and mask personally identifiable information (PII) in text, such as names, addresses, and social security numbers, directly within the service. This built-in capability ensures that sensitive data is removed or obfuscated before storage or further processing, directly supporting compliance with data privacy regulations like GDPR or HIPAA.

Answer

Disable diagnostic logging for the resource.

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Use customer-managed keys (CMK) for encryption.

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Apply Azure AI Content Safety filters to anonymize personal data.

Question 11

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.. Provisioned throughput units (PTUs) for Azure OpenAI Service provide reserved capacity, ensuring predictable performance and cost for stable workloads. PTUs are ideal for enterprise scenarios where latency and throughput must be consistent, as they allocate dedicated model processing capacity and avoid pay-per-token variability.

Answer

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

Answer

Deploy Azure Site Recovery to replicate AI services across regions.

Question 12

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?

Accepted Answer

Throttled search queries count.. Throttled search queries count (Option A) is a critical health metric because it directly indicates when the search service is under excessive load, causing requests to be rate-limited. For a customer-facing product catalog, throttling degrades user experience and can lead to failed searches. Tracking this metric helps you decide when to scale up replicas or partitions to maintain service level agreements.

Answer

Indexer execution history and duration.

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Storage used in GB.

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Number of successful search requests.

Question 13

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.

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

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

Question 14

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?

Accepted Answer

Train a custom extraction model using labeled sample invoices.. Azure AI Document Intelligence (formerly Form Recognizer) allows you to train a custom extraction model using labeled sample invoices. This approach enables the model to learn custom fields like 'purchase order number' that appear in varying positions, which prebuilt models cannot handle. By providing labeled examples, the model generalizes to extract the field accurately from new documents.

Answer

Use the layout model and apply manual post-processing.

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Use Azure AI Forms Recognizer with prebuilt receipt model.

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Use the prebuilt invoice model with field merging.

Question 15

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

Accepted Answer

Use managed identities to authenticate between Azure OpenAI and Azure AI Search.. Managed identities allow Azure OpenAI and Azure AI Search to authenticate securely without storing or rotating credentials. By assigning a managed identity to the Azure OpenAI service, you can grant it access to Azure AI Search via Azure RBAC, eliminating the need for API keys or shared access keys in code or configuration.

Answer

Store API keys in Azure Key Vault but use them directly in application code.

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Place all AI services in a DMZ subnet with public IP addresses.