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Microsoft AI-200 Exam Syllabus Topics:

SectionWeightObjectives
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. Configure scaling, networking, and security for containers
  • 2. Azure Container Registry: store, version, manage images
  • 3. Deploy to Azure Container Apps and Azure Kubernetes Service (AKS)
Integrate backend services and build event-driven architectures25%- Implement messaging and event systems
  • 1. Connect services and expose APIs securely
  • 2. Azure Event Grid for event-driven processing
  • 3. Azure Service Bus for reliable messaging
- Build serverless APIs and workflows
  • 1. Orchestrate AI pipelines and workflows
  • 2. Azure Functions for AI integration and processing
Secure, monitor, and optimize AI solutions20%- Implement observability and reliability
  • 1. Optimize performance, cost, and scalability
  • 2. Logging, metrics, and distributed tracing
  • 3. OpenTelemetry and Azure Monitor integration
- 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
Develop AI solutions using Azure data services30%- Implement vector-enabled databases
  • 1. Azure Cosmos DB for NoSQL with vector search
  • 2. Azure Database for PostgreSQL with pgvector extension
  • 3. Azure Managed Redis for caching, streaming, and vector storage
- Design and optimize data access and retrieval
  • 1. Indexing strategies, query optimization, and consistency models
  • 2. Implement hybrid search and retrieval patterns

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

Question 1

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
You are preparing a production deployment for an Azure Function app. The app will run across multiple environments.
The solution must support environment-specific configuration and prevent secrets from being stored in source control.
You need to develop the solution.
Solution: Store production secrets in environment variables set by the Dockerfile.
Does the solution meet the goal?

A. Yes
B. No


Question 2

Drag and Drop Question
You are developing a .NET application that uses Azure Cosmos DB for NoSQL to store application data.
The application uses the Azure Cosmos DB for NoSQL SDK to interact with the database account.
The application must perform the following tasks:
- Initialize the connection by using the account endpoint and key.
- Define shared throughput.
- Perform create, read, update, and delete (CRUD) operations on items
stored in a container.
You need to implement the SDK components required for the application to access and manage data in Azure Cosmos DB for NoSQL.
Which SDK components should you use? To answer, move the appropriate components to the correct requirements. You may use each component 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.


Question 3

You configure ACR Tasks to automate image builds.
Container images must rebuild when:
- Application updates occur.
- Base image updates occur, such as when the underlying OS image is
updated.
- Regular scheduled rebuilds are required.
You need to configure ACR Tasks to support automated image rebuilds.
Which three triggers should you configure? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Base image update trigger
B. Timer trigger
C. Webhook notification trigger
D. Registry event trigger
E. Source code commit trigger


Question 4

Drag and Drop Question
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 minimizing the possibility of SQL injection.
How should you modify the current implementation? 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.


Question 5

You are developing an Azure Function that calls external APIs by providing an access token for the API. The access token is stored in a secret named token in an Azure Key Vault named mykeyvault. You need to ensure the Azure Function can access the token. Which value should you store in the Azure Functions app configuration?

A. @Microsoft.KeyVault(SecretUri=https://mykeyvault.vault.azure.net/secrets/token/)
B. App:Settings:Secret:mykeyvault:token
C. KeyVault:mykeyvault;Secret:token
D. AZUREKVCONNSTR_ https://mykeyvault.vault.azure.net/secrets/token/


Solutions:

Question 1
Answer: B
Question 2
Answer: Only visible for members
Question 3
Answer: A,B,E
Question 4
Answer: Only visible for members
Question 5
Answer: A

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