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| Section | Objectives |
|---|---|
| Implement and monitor AI workloads | - Deploy AI models and services - Monitor performance and troubleshoot issues |
| Implement Azure AI solutions | - Implement knowledge mining with Azure AI Search - Implement natural language processing solutions - Implement computer vision solutions - Implement generative AI solutions using Azure OpenAI |
| Plan and manage Azure AI solutions | - Select appropriate Azure AI services - Plan security and compliance requirements - Monitor and optimize AI solutions |
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NEW QUESTION # 81
An ACA app processes messages from an Azure Storage queue.
The app must scale automatically based on messages in a specific Azure Storage queue by using a Kubernetes Event-driven Autoscaler (KEDA) custom scale rule. You need to configure the required scale rule values.
Which two values should you configure? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: A,D
Explanation:
Detailed Explanation: A KEDA custom scale rule must identify what scaler to use and which resource within that scaler should be observed. For Azure Storage queues, the trigger type selects the Storage Queue scaler and the queue name identifies the specific queue whose message count drives scaling. Polling interval and maximum replicas are general scaling controls, but they do not define the required queue-specific trigger.
Therefore trigger type and queue name are the essential rule values tested here.
Study Guide Alignment: Containerized Azure workloads: registry builds, App Service containers, Container Apps revision/scaling behavior, and AKS deployment choices.
Official Microsoft Learn References: AI-200 Study Guide | Set scaling rules in Azure Container Apps
NEW QUESTION # 82
You develop an AI application that stores telemetry documents in Azure Cosmos DB for NoSQL.
Each document contains 30 properties. Queries filter only on deviceId and timestamp.
Write operations consume more RUs than expected.
You need to reduce RU consumption for write operations while maintaining query performance.
What should you do?
Answer: D
Explanation:
Modify the indexing policy to include only deviceId and timestamp paths, and exclude all other paths. By default, Azure Cosmos DB indexes every property in a document, which drastically inflates the Request Units (RUs) consumed during write operations.
Reference:
https://www.datacamp.com/tutorial/azure-cosmos-db
NEW QUESTION # 83
You are designing an Azure Function app that exposes a public API.
The solution must:
Validate incoming request data and return results immediately to the caller.
Support Microsoft Entra ID authentication.
Scale automatically under variable load.
You need to implement a trigger.
Which trigger should you implement?
Answer: C
Explanation:
Detailed Explanation: An HTTP trigger is the only option that directly accepts a synchronous external request and can return a response immediately to the caller. Azure Functions uses HTTP triggers to implement serverless APIs and webhooks, while Microsoft Entra authentication can be applied to the Function App or API surface. Queue, Event Grid, and Service Bus triggers are asynchronous event-processing mechanisms and do not provide the request/response semantics required by this public API scenario.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Azure Functions HTTP trigger
NEW QUESTION # 84
An AI platform uses App Configuration for feature flags and endpoint routing.
The platform stores secrets alongside configuration data and does NOT support dynamic refresh.
The solution must support dynamic configuration refresh while ensuring that secrets are NOT stored in App Configuration.
You need to enable secure dynamic configuration management for the platform.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,C,D
Explanation:
[A]
Setting up a cache expiration or polling interval enables the application to detect configuration changes periodically without restarting, fulfilling the requirement for dynamic refresh.
[B]
Using Azure Managed Identities eliminates hardcoded credentials. It allows your application to securely authenticate to both Azure App Configuration and Azure Key Vault.
[C]
Moving API keys to Azure Key Vault adheres to security best practices. Azure App Configuration can reference these secrets securely using Key Vault references, ensuring secrets are never stored as plaintext in the configuration store.
Reference:
https://smartbridge.com/azure-ai-foundry-enterprise-guide-2/
NEW QUESTION # 85
You have an Event Grid subscription that triggers an Azure Function.
You need to prevent loss of events in case the endpoint returns an HTTP 400 response.
Which action should you perform?
Answer: D
Explanation:
Configuring a dead-letter destination is exactly the right step to take.
By default, when an endpoint returns an HTTP 400 (Bad Request) or HTTP 413 (Payload Too Large) response, Azure Event Grid immediately stops delivery attempts and drops the message.
It treats these specific errors as non-transient, client-side issues, meaning it skips its standard 24- hour retry policy.
Configuring a dead-letter destination ensures that these dropped events are safely preserved for future troubleshooting and reprocessing.
Reference:
https://turbo360.com/blog/azure-event-grid-dead-letter-monitoring
NEW QUESTION # 86
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