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Microsoft AI-200 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Integrate backend services and build event-driven architectures25%- Build serverless APIs and workflows
  • 1. Orchestrate AI pipelines and workflows
  • 2. Azure Functions for AI integration and processing
- Implement messaging and event systems
  • 1. Azure Service Bus for reliable messaging
  • 2. Connect services and expose APIs securely
  • 3. Azure Event Grid for event-driven processing
Topic 2: Develop containerized AI solutions on Azure25%- Monitor and troubleshoot containerized workloads
  • 1. Log analysis, health checks, and performance monitoring
  • 2. Manage configurations and secrets for containers
- Implement container hosting environments
  • 1. Azure Container Registry: store, version, manage images
  • 2. Deploy to Azure Container Apps and Azure Kubernetes Service (AKS)
  • 3. Configure scaling, networking, and security for containers
Topic 3: Secure, monitor, and optimize AI solutions20%- Implement observability and reliability
  • 1. Logging, metrics, and distributed tracing
  • 2. OpenTelemetry and Azure Monitor integration
  • 3. Optimize performance, cost, and scalability
- Manage security and configuration
  • 1. Azure Key Vault for secrets, keys, and certificates
  • 2. Managed identities and access control
  • 3. App Configuration for dynamic settings
Topic 4: Develop AI solutions using Azure data services30%- Design and optimize data access and retrieval
  • 1. Implement hybrid search and retrieval patterns
  • 2. Indexing strategies, query optimization, and consistency models
- Implement vector-enabled databases
  • 1. Azure Cosmos DB for NoSQL with vector search
  • 2. Azure Managed Redis for caching, streaming, and vector storage
  • 3. Azure Database for PostgreSQL with pgvector extension

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Microsoft Developing AI Cloud Solutions on Azure Sample Questions (Q23-Q28):

NEW QUESTION # 23
An application deployed to AKS depends on an internal API hosted in the same cluster. All pods are healthy and report Ready status, but requests between the services time out.
You need to determine whether the issue is related to Kubernetes service configuration or application code.
What should you do first?

Answer: A

Explanation:
Inspect Service and Endpoints objects is the best step to start with.
The symptoms describe pods that are healthy and passing their readiness probes (meaning they are Ready), but traffic is failing to reach them and timing out. In Kubernetes, a Service routes traffic to pods by matching labels to create an Endpoints object.
Checking these objects immediately verifies if the Kubernetes network routing layer is intact.If the Endpoints object is empty or missing, the Service selector does not match the Pod labels. Traffic has nowhere to go, causing a timeout.
If the Endpoints list correctly displays the Pod IP addresses, the Kubernetes routing layer is working, shifting the blame toward the application code (e.g., misconfigured listening ports) or network policies.
Reference:
https://www.xtivia.com/blog/kubernetes-container-health-checks/


NEW QUESTION # 24
A Python API retrieves a document from Azure Database for PostgreSQL by using a SQL statement. The API accepts the document ID from user input. The current implementation inserts the document ID directly into the SQL statement.
You need to secure the SQL statement execution by using a parameterized query. You must minimize the possibility of SQL injection.
How should you update the implementation to execute the SQL statement safely? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all. you may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Verified Answer: Modify SQL: use a parameterized query. Bind input: pass the ID as an argument. Execute:
supply the parameter tuple to the SDK/driver method.
Detailed Explanation: The security boundary is created by separating SQL syntax from user-supplied values.
The statement should contain a parameter placeholder rather than concatenated input, and the document ID should be supplied separately through the database driver's parameter mechanism. The driver then performs the correct protocol-level binding and escaping. Manually escaping quotation marks is error-prone and does not provide the same injection resistance as true parameterization.
Study Guide Alignment: AI data-management workloads: Cosmos DB, PostgreSQL, caching, vector storage, vector retrieval, consistency, and connection optimization.
Official Microsoft Learn References: AI-200 Study Guide | Vector similarity search with Azure PostgreSQL


NEW QUESTION # 25
Hotspot Question
You have a web service that is used to pay for food deliveries. The web service uses Azure Cosmos DB as the data store.
You plan to add a new feature that allows users to set a tip amount. The new feature requires that a property named tip on the document in Azure Cosmos DB must be present and contain a numeric value.
There are many existing websites and mobile apps that use the web service that will not be updated to set the tip property for some time.
How should you complete the trigger?
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: getContext().getRequest();
Y: if (!i["tip"]) { (or alternatively: depending on your specific exam question version)Z:
Box 2: if (isNaN(i["tip"]) || i["tip"] === null) {
Box 3: r.setBody(i);


NEW QUESTION # 26
Hotspot Question
You are developing several microservices to run on Azure Container Apps. External HTTP ingress traffic has been enabled for the microservices.
A deployed microservice must be updated to allow users to test new features. You have the following requirements:
- Enable and maintain a single URL for the updated microservice to
provide to test users.
- Update the microservice that corresponds to the current microservice
version.
You need to configure Azure Container Apps.
Which features should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: Revision label
You should use the revision labels feature in Azure Container Apps. This feature allows you to assign a dedicated, permanent URL to a specific version (or revision) of your microservice.
Box 2: Revision mode
The application's Revision mode must be configured to Multiple. This allows the existing (current) microservice version to remain active and serve production traffic concurrently while you spin up the updated revision for the test users to access safely.
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/microservices


NEW QUESTION # 27
You deploy an AI application across multiple Azure regions.
The application must be able to view writes across all regions within a predictable time window.
You need to determine the appropriate consistency level.
What are two consistency levels you can use to achieve the goal? Each correct answer presents a complete solution. Choose two.
NOTE: Each correct selection is worth one point.

Answer: B,C


NEW QUESTION # 28
......

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