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Microsoft AI-200 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Develop containerized AI solutions on Azure25%- 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
- Monitor and troubleshoot containerized workloads
  • 1. Log analysis, health checks, and performance monitoring
  • 2. Manage configurations and secrets for containers
Topic 2: 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 Database for PostgreSQL with pgvector extension
  • 3. Azure Managed Redis for caching, streaming, and vector storage
Topic 3: Integrate backend services and build event-driven architectures25%- Implement messaging and event systems
  • 1. Connect services and expose APIs securely
  • 2. Azure Service Bus for reliable messaging
  • 3. Azure Event Grid for event-driven processing
- Build serverless APIs and workflows
  • 1. Azure Functions for AI integration and processing
  • 2. Orchestrate AI pipelines and workflows
Topic 4: 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. Managed identities and access control
  • 2. App Configuration for dynamic settings
  • 3. Azure Key Vault for secrets, keys, and certificates

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. You are developing an AI-powered API that retrieves connection strings and API keys from Azure Key Vault.
You must configure a solution that provides the following security functionality:
- The API must authenticate to Key Vault without storing credentials in any application configuration files.
- The identity used by the API must have only the minimum permissions
necessary to read secrets.
- The configuration must minimize the blast radius if an identity or
credential is compromised.
You need to implement a secure access strategy for the API.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Assign the Key Vault Administrator role at subscription scope.
B) Grant the Key Vault Secrets User role at vault scope.
C) Use system-assigned managed identity.
D) Store a secret value in Azure App Configuration.


2. 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?

A) Implement optimistic batching.
B) Implement asynchronous handshake validation.
C) Configure a dead-letter destination.
D) Configure a retry policy.


3. 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 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.
You need to ensure that the API key remains outside of Git commit history and is available to the container at runtime.
Solution: Embed the API key as a hardcoded environment variable in the Dockerfile.
Does the solution meet the goal?

A) Yes
B) No


4. Your application stores conversation history so a multi-turn chatbot can reference earlier turns, but the context window is limited. You need to keep the most relevant history within token limits.
What should you implement?

A) Increase max_tokens for output only
B) Store history only in the client and never send it to the model
C) Summarize older turns and retain recent turns verbatim
D) Truncate all history after 2 turns


5. You process Azure Service Bus messages that require a dependent external API call.
If the API is temporarily unavailable, you must delay processing of the message without incrementing the delivery count.
You need to find a way to process the message when the API is available while keeping the message accessible.
Which message action should you perform?

A) Abandon
B) Defer
C) Dead-letter
D) Complete


Solutions:

Question # 1
Answer: B,C
Question # 2
Answer: C
Question # 3
Answer: B
Question # 4
Answer: C
Question # 5
Answer: B

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