AI-200 Practice Test 2 — 30 Questions

Question 1

You are troubleshooting a latency issue with an AI model deployed in a Virtual Machine. You suspect the issue is related to storage IOPS limits. Which tool should you use to check the storage performance metrics?

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

Accepted Answer

Azure Monitor Metrics for the Virtual Machine.. Azure Monitor 'Metrics' for the Virtual Machine resource provides 'Disk Read Operations/sec' and 'Disk Write Operations/sec', which are key for diagnosing IOPS bottlenecks.

Answer

Azure Network Watcher.

Answer

Azure Resource Graph Explorer.

Answer

Application Insights Dependency logs.

Question 2

You are implementing an event-driven architecture where an Azure Function acts as an Event Grid subscriber. Occasionally, the downstream cognitive service is throttled, causing failures. You need to ensure that unprocessable events are not lost and can be inspected later. Where should you configure a dead-letter destination?

Accepted Answer

On the Event Grid event subscription, specify an Azure Blob Storage container as the dead-letter endpoint.. Event Grid event subscriptions support a native dead-letter destination where events that cannot be delivered (after retries are exhausted) are stored as blobs in an Azure Storage container. This is configured on the event subscription itself, not on the subscriber, because Event Grid owns the delivery and retry lifecycle. The dead-lettered blob retains the original event payload plus failure metadata, enabling later inspection and reprocessing.

Answer

On the Azure Function trigger binding definition using the deadLetterQueueName property.

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On the Azure Storage account firewall settings as an IP filter exception.

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Inside the Azure Function application configuration settings as an Application Insights error sink.

Question 3

You need to monitor the monthly cost of an Azure AI Document Intelligence resource to ensure it does not exceed a specified budget. Where should you configure an automated notification when the cost reaches 80% of the budget?

Accepted Answer

Create a Budget in Azure Cost Management + Billing with an alert threshold set to 80%.. Azure Cost Management + Billing Budgets are the native mechanism for setting spending thresholds and triggering automated notifications (email or action groups) when actual or forecasted cost reaches a defined percentage of the budget. Setting an 80% threshold on a budget scoped to the Document Intelligence resource is the correct approach.

Answer

Configure an alert rule in Azure Monitor on the Document Intelligence resource metric 'Transactions'.

Answer

Set up an action group in Azure Advisor to monitor billing anomalies.

Answer

Create an expenditure alert inside the Azure AI Foundry portal.

Question 4

Which THREE logs or telemetry types should you collect in Azure Monitor to comprehensively troubleshoot an AI-powered web application?

Accepted Answer

Application requests and response status codes.. Application Insights collects request telemetry, dependency tracking for API calls, and trace logs for debugging logic.

Answer

Azure Bastion audit logs.

Answer

Azure Firewall packet capture PCAP files.

Question 5

Your enterprise AI application is deployed across multiple Azure regions for high availability. You need to ensure that logs from Application Insights instances in all regions are aggregated into a single central Log Analytics workspace for unified querying. How should you configure this?

Accepted Answer

Configure each Application Insights resource to use the same shared centralized Log Analytics workspace during creation. Application Insights resources can be configured to send their telemetry to a Log Analytics workspace, and pointing multiple regional Application Insights instances at the same workspace aggregates all logs for unified KQL querying. This is done at creation time (or via migration) by selecting the shared workspace as the ingestion target. The result is a single pane of glass across regions without custom ETL.

Answer

Deploy a separate Log Analytics workspace in every region and use Azure Backup to copy tables

Answer

Write a custom Python script that downloads logs from each region every hour and uploads them to Azure Blob Storage

Answer

Use Azure Traffic Manager to merge log data streams at the DNS level

Question 6

Your application publishes messages to an Azure Service Bus queue. The messages contain sensitive personal data. Enterprise compliance mandates that message payloads are encrypted end-to-end at the application layer before being sent to Service Bus. How should you implement this?

Accepted Answer

Encrypt the message payload in your application code using a key from Azure Key Vault before sending, and decrypt upon receipt.. End-to-end application-layer encryption means the payload must be encrypted before it leaves the producer and decrypted only by the consumer, so the broker never sees plaintext. Using a key from Azure Key Vault to encrypt in code and decrypt on receipt satisfies this because Service Bus only transports ciphertext, and key custody stays in Key Vault.

Answer

Configure Event Grid advanced filters to redact sensitive keys.

Answer

Enable Service Bus Premium Geo-Disaster Recovery with encryption enabled.

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Use Shared Access Signature tokens with 5-minute expirations.

Question 7

Your team is developing an AI solution that uses Azure Cognitive Services. You need to ensure that the API keys cannot be extracted from the client-side mobile application. What is the recommended architectural pattern to achieve this?

Accepted Answer

Implement a backend API proxy (e.g., Azure Functions or API Management) that authenticates mobile clients and calls Cognitive Services using secure server-side keys. A backend API proxy (Azure Functions or API Management) is the recommended pattern because the Cognitive Services subscription key stays server-side and is never shipped in the mobile binary, where it could be decompiled or intercepted. The mobile client authenticates to the proxy (e.g., via OAuth 2.0/Entra ID token), and the proxy validates that identity before calling Cognitive Services with the secret key. This also enables rate limiting, key rotation, and per-user quota enforcement without redeploying the app.

Answer

Use Azure Front Door to strip API keys from incoming mobile requests

Answer

Store the Cognitive Services API key in an encrypted local SQLite database on the mobile device

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Configure Cognitive Services for anonymous public access and rely on mobile app version checks

Question 8

When storing vector embeddings in Azure Cosmos DB for MongoDB (vCore), which distance metric is natively supported when creating a vector search index?

Accepted Answer

Cosine distance (cos). Azure Cosmos DB for MongoDB (vCore) natively supports cosine distance when creating a vector index, specified as 'cos' in the index definition. Cosine distance measures the angle between vectors and is the standard metric for text embeddings, which are typically normalized. This makes it the correct native metric for vector search indexes in that service.

Answer

Levenshtein distance

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Jaccard distance

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Hamming distance

Question 9

Your containerized AI application requires a specific version of a kernel driver that is not installed on the AKS nodes. What is the most efficient way to manage this?

Accepted Answer

Use a privileged InitContainer to load the driver.. A privileged InitContainer runs before the main application container and, with privileged security context, can load kernel modules (e.g., via modprobe or insmod) onto the node. This is the standard Kubernetes pattern for node-level setup that must complete before the workload starts. It is more efficient than rebuilding the cluster and avoids granting the application container itself elevated privileges.

Answer

Mount the /proc filesystem as read-write.

Answer

Run the application as root.

Answer

Rebuild the AKS cluster.

Question 10

You are setting up auto-scaling for a containerized AI web app in Azure Container Apps. You want to scale based on the number of concurrent HTTP requests. Which scaler do you use?

Accepted Answer

HTTP scaler.. The HTTP scaler in Azure Container Apps scales replicas based on the number of concurrent HTTP requests, which directly matches the requirement to scale on concurrent HTTP request count. It is a KEDA-based scaler configured in the container app's scale rules with a `concurrentRequests` threshold.

Answer

Azure Service Bus scaler.

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CPU usage scaler.

Answer

Memory usage scaler.

Question 11

You are designing an AI architecture that stores vector embeddings in Azure Cosmos DB for NoSQL. You need to implement role-based access control (RBAC) so that specific application microservices can only execute read-only queries against the database without having permission to write or delete documents. How should you configure this?

Accepted Answer

Create a custom SQL role definition with read-only data actions and assign it to the microservice's managed identity. Azure Cosmos DB for NoSQL has a native RBAC system built on SQL role definitions and role assignments. A custom role definition can be scoped to specific data-plane actions such as 'Microsoft.DocumentDB/databaseAccounts/readMetadata' and 'Microsoft.DocumentDB/databaseAccounts/sqlDatabases/containers/items/read', granting read-only access. Assigning that role to the microservice's managed identity enforces least privilege without exposing keys.

Answer

Configure Azure Blob Storage RBAC permissions on the Cosmos DB container

Answer

Share the primary master master-key with all microservices

Answer

Disable authentication on the Cosmos DB account during query execution

Question 12

Your organization requires that all data transmitted to an Azure Service Bus namespace is encrypted in transit using Transport Layer Security (TLS). What is the minimum required TLS version enforced by modern Azure Service Bus secure baselines?

Accepted Answer

TLS 1.2. Modern Azure Service Bus secure baselines require a minimum of TLS 1.2 for all data in transit. TLS 1.2 is the enforced floor because older protocols (SSL 3.0, TLS 1.0, TLS 1.1) have known cryptographic weaknesses and are deprecated across Azure services.

Answer

SSL 3.0

Answer

Plaintext HTTP with custom Base64 encoding

Answer

TLS 1.0

Question 13

Which Azure AI Search field property indicates whether the contents of a field can be returned in search query result documents?

Accepted Answer

retrievable. In Azure AI Search, the 'retrievable' attribute controls whether a field's contents are returned in search results. If retrievable is false, the field can still be searched, filtered, or sorted but its value is omitted from the returned document. This is the exact property that governs result payload inclusion.

Answer

searchable

Answer

facetable

Answer

filterable

Question 14

Your team needs to process high-volume clickstream data from a web application using Apache Kafka protocols while leveraging Azure-managed infrastructure. Which Azure service should you deploy?

Accepted Answer

Azure Event Hubs. Azure Event Hubs is a fully managed, real-time data ingestion service that supports the Apache Kafka protocol via its Kafka endpoint. It is designed for high-throughput event streaming and can handle clickstream data at scale. By deploying Event Hubs, you can use Kafka producers and consumers without managing Kafka clusters.

Answer

Azure Event Grid

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Azure Notification Hubs

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Azure Service Bus

Question 15

You are building a hybrid search solution using Azure AI Search that combines BM25 full-text search with vector search. What is the name of the feature that intelligently combines and normalizes scores from different retrieval systems before presenting the final top results?

Accepted Answer

Reciprocal Rank Fusion (RRF). Reciprocal Rank Fusion (RRF) is the algorithm Azure AI Search uses to merge BM25 and vector result sets in hybrid queries. It converts each result's rank into a reciprocal score (1/(k+rank)) and sums them, producing a normalized combined ranking without needing to align raw score scales. This is why hybrid search in Azure AI Search 'just works' without manual score normalization.

Answer

Min-Max Score Scaling

Answer

Cosine Distance Normalization

Answer

Cross-Encoder Re-ranking

Question 16

You are developing a serverless AI notification workflow. When an AI model finishes training, it publishes an event to an Azure Event Grid topic. You want to trigger an Azure Logic App when this event occurs. Which Event Grid subscription event delivery schema and endpoint type should you select?

Accepted Answer

Select 'Webhook' as the endpoint type and provide the Logic Apps HTTP Request URL.. Azure Logic Apps expose an HTTP-triggered endpoint (the 'When an HTTP request is received' or Event Grid trigger URL) that Event Grid can invoke directly. Selecting 'Webhook' as the endpoint type and supplying the Logic App's HTTP Request URL lets Event Grid POST the event payload to the Logic App, which then parses it and runs the workflow. This is the standard, first-class integration pattern for Event Grid → Logic Apps.

Answer

Select 'Storage Queue' as the endpoint type.

Answer

Select 'Azure Service Bus Queue' as the endpoint type and provide the queue connection string.

Answer

Select 'Azure Event Hubs' as the endpoint type and provide the connection string.

Question 17

Your team is building an automated image moderation pipeline. When an image is uploaded to Azure Blob Storage, you need to trigger an Azure Function to process it using Azure AI Vision. You want to ensure the lowest latency and native cloud event integration. Which integration approach should you configure?

Accepted Answer

Configure an Azure Event Grid system topic and subscription for blob storage events targeting the Azure Function.. Azure Event Grid natively integrates with Blob Storage via system topics and delivers blob-created events to subscribers such as Azure Functions with near-real-time push delivery. This is the lowest-latency, event-driven pattern and requires no polling or intermediate queue.

Answer

Attach an Azure Event Hubs capture policy to the storage container.

Answer

Use an Azure Logic Apps polling trigger to check the storage container every minute for new files.

Answer

Write a background worker service that reads the Azure Service Bus queue populated by storage transactions.

Question 18

Your enterprise AI system processes sensitive Personal Identifiable Information (PII). Compliance regulations require that audit logs capturing who accessed the AI endpoints must be retained immutably for 5 years without possibility of deletion. Where should you configure this immutability policy?

Accepted Answer

Azure Storage account container immutability policies with time-based retention. Azure Storage account container immutability policies with time-based retention (WORM — Write Once, Read Many) enforce that blobs cannot be modified or deleted for a specified retention period, and when locked, the policy cannot be removed even by account owners. This directly satisfies the requirement for immutable 5-year audit log retention. Audit logs written to an immutable container remain tamper-proof for the full retention window.

Answer

Azure Active Directory audit log retention configuration

Answer

Application Insights retention settings configured via the portal

Answer

Azure Key Vault soft-delete and purge protection

Question 19

Your enterprise architecture uses Azure Service Bus Topics and Subscriptions with geo-disaster recovery paired namespaces. A disaster occurs, and you trigger a failover to the secondary region. What happens to the messages currently in the subscriptions of the primary namespace?

Accepted Answer

Messages remaining in the primary namespace are not automatically replicated to the secondary namespace; failover relies on metadata synchronization.. Service Bus geo-disaster recovery (Geo-DR) pairs a primary and secondary namespace and continuously replicates only the namespace metadata — queues, topics, subscriptions, filters, and authorization rules. Message data itself is not replicated, so messages sitting in the primary namespace's subscriptions at the moment of failover are not available in the secondary namespace and are effectively stranded until the primary is restored.

Answer

All queued messages are automatically migrated to the secondary region within 5 seconds.

Answer

Azure Event Grid automatically replays all lost messages from the storage capture.

Answer

The primary namespace messages are permanently deleted and cannot be recovered.

Question 20

You want to track the latency of your model inference API in production. Which Azure tool should you integrate into your containerized application?

Accepted Answer

Azure Application Insights.. Azure Application Insights is the Application Performance Management (APM) service within Azure Monitor, designed to capture request latency, dependency calls, exceptions, and custom telemetry from applications. Integrating the Application Insights SDK (or OpenTelemetry) into the containerized inference API automatically records request duration and end-to-end transaction traces. This directly answers the requirement to track inference API latency in production.

Answer

Azure Storage Queue.

Answer

Azure Event Hubs.

Answer

Azure Data Factory.