AI-200 Practice Exam Questions, AI-200 Valid Exam Preparation

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Microsoft AI-200 Exam Syllabus Topics:

SectionObjectives
Secure, monitor, troubleshoot Azure solutions- Operate AI cloud solutions
  • 1. Troubleshooting Azure solutions
  • 2. Security and secret management
  • 3. Monitoring and observability
  • 4. Performance optimization
Develop containerized solutions on Azure- Implement containerized applications
  • 1. Manage containerized compute environments
  • 2. Deploy AI workloads in containers
  • 3. Implement scalable hosting patterns
Connect to and consume Azure services- Integrate Azure services
  • 1. Serverless integration patterns
  • 2. Azure messaging and eventing
  • 3. Azure SDKs
  • 4. Event-driven architectures
  • 5. Third-party SDKs
Develop AI solutions by using Azure data management services- Work with Azure data platforms for AI workloads
  • 1. Azure data management services
  • 2. Data integration for AI applications
  • 3. Vector databases

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Microsoft Developing AI Cloud Solutions on Azure Sample Questions (Q74-Q79):

NEW QUESTION # 74
You maintain multiple versions of a container image in Azure Container Registry.
The production deployment must always run the exact same image build even if tags are changed later.
You need to ensure predictable and immutable image selection during deployment.
What should you do?

Answer: A

Explanation:
Deploying a container image by its unique SHA-256 digest digest instead of its tag ensures a predictable and immutable deployment. Tags can be overwritten or moved to different image builds, but a digest is a cryptographic hash that never changes.
Reference:
https://container-registry.com/posts/container-image-versioning/


NEW QUESTION # 75
Your team wants to track token usage, latency, and error rates for an Azure OpenAI-backed application in production, with alerting on anomalies. What should you configure?

Answer: D

Explanation:
Azure Monitor, configured via diagnostic settings on the Azure OpenAI resource, collects logs and metrics such as token consumption, latency, and errors, and supports alert rules for anomaly detection in production.


NEW QUESTION # 76
You plan to deploy a container to an Azure App Service API app named api1. You host the source code for api1 in a GitHub repository. The container uses the API key at runtime to connect to a backend service.
The container must be able to retrieve the API key at runtime without exposing it in the source repository or Git commit history. The API key must not be stored in application configuration directly. The API key must be accessed securely from Azure Key Vault.
You need to ensure that the API key is stored securely in Azure Key Vault and is available to the container at runtime without being exposed in source control or Git commit history.
Solution: Store the API key as an App Service application setting configured through the Azure Portal.
Does the solution meet the goal?

Answer: B


NEW QUESTION # 77
You are developing a solution that uses several Azure Service Bus queues. You create an Azure Event Grid subscription for the Azure Service Bus namespace. You use Azure Functions as subscribers to process the messages.
You need to ensure that events can be sent to Azure Event Grid from the queues. The solution must use the principle of least privilege and minimize costs.
Which Azure Service Bus role and tier level should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Verified answer: Tier: Premium. Role: Azure Service Bus Data Receiver.
Detailed Explanation: Microsoft documents Event Grid integration for Service Bus queues and topics as requiring a Service Bus Premium namespace. The Azure Function subscriber must then receive messages from the queue; the least-privilege built-in data-plane role for that purpose is Azure Service Bus Data Receiver. Data Sender does not permit receiving, and Data Owner is broader than necessary. Premium therefore satisfies the feature prerequisite, while Data Receiver satisfies the stated least-privilege requirement.
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 | Service Bus to Event Grid integration | Authenticate Service Bus with Microsoft Entra ID


NEW QUESTION # 78
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.
- Guarantee idempotent processing when the same request is retried.
- Scale automatically under variable load.
- Avoid duplicate processing.
You need to implement a trigger.
Which trigger should you implement?

Answer: B

Explanation:
An HTTP Trigger combined with Azure Durable Functions (Asynchronous Http Start pattern) and a backing database is the most appropriate architecture to fulfill all your requirements.
Immediate validation: HTTP triggers allow synchronous request-response communication, enabling you to validate payload data and return a 200 OK or 400 Bad Request to the caller instantly.
Entra ID authentication: Azure Functions native App Service Authentication (Easy Auth) integrates directly with HTTP endpoints to enforce Microsoft Entra ID token validation before your code even runs.
Automatic scaling: HTTP-triggered functions scale dynamically out-of-the-box using the Azure Functions Consumption or Premium hosting plans based on incoming web traffic.
Reference:
https://github.com/microsoft/woodgrove-auth-api/blob/main/README.md


NEW QUESTION # 79
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