AI-200 Practice Test 32 — 15 Questions

Question 1

You are troubleshooting a slow-performing Azure AI Search service that indexes millions of documents. You want to check performance counters and query execution metrics using Azure Monitor. Which THREE of the following metrics or log categories are available for Azure AI Search? (Choose three)

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

Accepted Answer

Throttled Search Queries Percentage (queries dropped due to capacity limits). Azure AI Search provides search latency, throttled search queries percentage, and storage metrics in Azure Monitor metrics.

Answer

Azure SQL Database transaction log backup success rate

Answer

Azure Bastion active SSH session count

Question 2

You are using Application Insights to monitor a Retrieval-Augmented Generation (RAG) application. You need to log custom dimensions such as prompt token counts and user IDs alongside standard telemetry. Which class should you use in your C# application?

Accepted Answer

Use the TelemetryClient class and its TrackEvent method with a dictionary of custom dimensions.. The TelemetryClient class allows developers to track custom events, metrics, and traces with custom properties (dimensions).

Answer

Configure the AzureMonitorLogExporter in the standard logging pipeline.

Answer

Use the DiagnosticSource class to emit unstructured string logs to Console.

Answer

Use the AzureKeyVaultClient to store transient custom properties.

Question 3

Your organization uses Azure Event Grid to route IoT device lifecycle events. You want to ensure that events published to your custom topic are encrypted at rest using Microsoft-managed keys by default. Which action is required to enable this?

Accepted Answer

No action is required; encryption at rest using Microsoft-managed keys is enabled by default.. Azure platform services encrypt data at rest by default using Microsoft-managed keys without requiring any explicit configuration.

Answer

You must enable Event Hubs Capture on the topic.

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You must configure a Storage Account dead-letter container.

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You must link an Azure Key Vault instance during topic creation.

Question 4

You are designing a vector search solution using Azure AI Search. Which THREE of the following are necessary steps to configure an index to support vector search?

Accepted Answer

Define a 'vectorSearch' configuration within the index schema.. To enable vector search, one must define the vector search configuration (algorithm/metric), create fields of type 'Collection(Edm.Single)', and assign the vector search profile to those fields.

Answer

Set the index to 'ReadOnly' mode.

Answer

Ensure all vector fields are set to 'Edm.String'.

Question 5

You are architecting an event-driven AI ingestion pipeline using Azure Event Hubs. Which TWO features or capabilities are native to Azure Event Hubs? (Choose two)

Accepted Answer

Apache Kafka protocol endpoint compatibility. Azure Event Hubs natively supports Apache Kafka protocol endpoints and Event Hubs Capture for long-term storage archiving. Event Grid topics and Service Bus queues are separate services.

Answer

Automatic dead-letter queue routing after max delivery count

Answer

Webhook event schema subscription validation handshakes

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AMQP 1.0 message session management for FIFO per session ID

Question 6

An AI inference pipeline uses Azure Event Hubs to ingest telemetry. Your consumer application needs to read events starting from a specific timestamp to replay historical data for model retraining. Which feature of Event Hubs enables this capability?

Accepted Answer

Starting position based on Enqueued Time. Event Hubs consumer groups allow multiple applications to read the stream independently, and you can specify a starting offset, sequence number, or offset datetime (enqueue time) when creating an EventProcessorClient or partition receiver.

Answer

Event Hubs Capture window

Answer

Event Grid event retention policy

Answer

Service Bus message lock duration

Question 7

Your development team wants to trace downstream calls made by a Semantic Kernel agent to Azure OpenAI and an external plugin. Which SDK package and feature should you integrate into your .NET application?

Accepted Answer

Configure Application Insights telemetry via the Microsoft.ApplicationInsights.AspNetCore NuGet package and enable dependency tracking.. Application Insights provides distributed tracing which automatically captures outgoing HTTP calls, including Semantic Kernel operations, when the Microsoft.ApplicationInsights.AspNetCore package is configured.

Answer

Use Azure Event Grid to capture telemetry events published by Semantic Kernel.

Answer

Configure Azure Monitor Workspace and collect Prometheus metrics from the application.

Answer

Write custom middleware to log every prompt and response to Azure Blob Storage.

Question 8

Your application publishes custom events to an Azure Event Grid topic. You want to ensure that the webhook endpoint receiving these events can verify that the request genuinely originated from Event Grid. Which validation mechanism should your webhook implement?

Accepted Answer

Validate the validation handshake request during setup and check the aeg-signature header on incoming event deliveries.. Event Grid sends a validation handshake (Subscription Validation event) when creating a subscription, and subsequent events include signature validation headers (such as `aeg-signature`) if configured, or webhook validation tokens.

Answer

Require mutual TLS client certificates issued by the consumer app.

Answer

Verify the client's SQL Server connection string.

Answer

Check that the incoming IP address matches Azure Blob Storage storage IPs.

Question 9

You are configuring vector search on an Azure AI Search index using a custom vectorizer that points to an external embedding endpoint. Which authentication method is recommended and natively supported for securely connecting Azure AI Search to the Azure OpenAI endpoint?

Accepted Answer

Managed Identity (system-assigned or user-assigned). Azure AI Search supports managed identities (both system-assigned and user-assigned) to securely authenticate against Azure OpenAI endpoints without storing API keys.

Answer

OAuth2 client credentials grant with Azure AD tenant federation

Answer

Shared Access Signature (SAS) tokens

Answer

Basic authentication with API keys stored in index metadata

Question 10

You are optimizing an Azure Event Hubs stream processing application in Python. Messages are being processed too slowly, and you notice high CPU utilization on the consumer instance due to synchronous network I/O. Which programming model should you adopt to maximize ingestion throughput?

Accepted Answer

Use the asynchronous Event Hub client library (`azure-eventhub.aio`) with `asyncio` for non-blocking I/O operations.. For high-performance asynchronous I/O in Python with Azure Event Hubs, developers should use the `azure-eventhub` asynchronous client library (`aiohttp` / `asyncio`) to process events concurrently.

Answer

Increase the partition count of the Event Hub to 1,000 partitions.

Answer

Switch from Event Hubs to Azure Storage Queues for parallel processing.

Answer

Migrate all consumer code to use synchronous REST API polling over HTTPS GET requests.

Question 11

Your application publishes custom events to Azure Event Grid using the CloudEvents 1.0 schema format. Which required attribute must be present in every CloudEvents JSON payload to ensure valid delivery?

Accepted Answer

specversion, type, source, and id. CloudEvents specification mandates attributes such as `specversion`, `type`, `source`, and `id` for every valid event.

Answer

PartitionKey and SequenceNumber

Answer

sb-connection-string and topic-name

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authorization and aeg-sas-key

Question 12

You are building an event-driven application where messages sent to an Azure Service Bus queue must not be processed until a specific date and time in the future (e.g., 2 hours from now). What property should you set on the outgoing message?

Accepted Answer

ScheduledEnqueueTimeUtc. Azure Service Bus supports scheduled messaging. You can set the ScheduledEnqueueTimeUtc property on a message so that it becomes available for consumption only at the specified time.

Answer

TimeToLive

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LockDuration

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SequenceNumber

Question 13

You are designing the data storage and indexing strategy for a multi-tenant AI search solution on Azure. Which TWO architectural practices should you implement to optimize vector search performance and tenant isolation in Azure AI Search?

Accepted Answer

Implement security trimming by appending OData filter expressions (e.g., tenantId eq 'tenant-1') to every vector search query.. Using separate indexes or indexers per tenant or enforcing security trimming via filter expressions are standard practices for multi-tenancy in Azure AI Search. Additionally, configuring appropriate HNSW parameters (m, efConstruction) ensures query speed and recall balance.

Answer

Disable the HNSW algorithm and rely exclusively on exhaustive brute-force search across all tenant partitions.

Answer

Store all tenants' embeddings in a single unpartitioned vector field without metadata tags to maximize index density.

Answer

Store raw embeddings exclusively in Azure Blob Storage and perform client-side cosine similarity calculations for all queries.

Question 14

You are designing an event-driven AI document processing pipeline. Incoming PDF documents are uploaded to Azure Blob Storage, triggering an Event Grid event. The event triggers an Azure Function that downloads the PDF, processes it with Azure AI Document Intelligence, and saves results to Azure Cosmos DB. Under high load, duplicate events are occasionally received by the function, causing duplicate Cosmos DB records. How should you design the Azure Function to handle idempotency?

Accepted Answer

Implement idempotency in the Azure Function by checking if the document record already exists in Cosmos DB or using an upsert operation with a deterministic ID.. Because event-driven architectures guarantee 'at-least-once' delivery, consumers must be idempotent. The Azure Function should check if the document ID or event ID already exists in Cosmos DB before processing or use an upsert operation.

Answer

Set the Event Grid retry count to zero.

Answer

Deploy an Azure Service Bus queue in front of Blob Storage to serialize all requests into a single partition.

Answer

Configure Event Grid delivery mode to 'Exactly-Once' in the subscription settings.

Question 15

Your organization uses Azure Service Bus Topics. You need to ensure that messages published to a topic are delivered to subscriptions in a specific priority order (e.g., high priority messages processed before normal priority). What is the recommended Service Bus design pattern to achieve this?

Accepted Answer

Create separate queues or subscriptions for high-priority and normal-priority messages, and have workers poll the high-priority entity first.. Because Service Bus Topics do not support intra-topic message priority sorting, the recommended design pattern is to create separate subscriptions or separate topics/queues for high-priority versus normal messages, or use multiple queues.

Answer

Set the Priority property on the Service Bus message header to 99.

Answer

Configure Event Hubs partition key hashing to group priority messages.

Answer

Enable Event Grid priority filters on the topic.