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Microsoft AI-200 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Integrate backend services and build event-driven architectures	25%	- Build serverless APIs and workflows 1. Azure Functions for AI integration and processing 2. Orchestrate AI pipelines and workflows - Implement messaging and event systems 1. Azure Event Grid for event-driven processing 2. Connect services and expose APIs securely 3. Azure Service Bus for reliable messaging
Topic 2: Develop AI solutions using Azure data services	30%	- 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
Topic 3: Secure, monitor, and optimize AI solutions	20%	- Manage security and configuration 1. App Configuration for dynamic settings 2. Managed identities and access control 3. Azure Key Vault for secrets, keys, and certificates - Implement observability and reliability 1. OpenTelemetry and Azure Monitor integration 2. Optimize performance, cost, and scalability 3. Logging, metrics, and distributed tracing
Topic 4: Develop containerized AI solutions on Azure	25%	- Monitor and troubleshoot containerized workloads 1. Manage configurations and secrets for containers 2. Log analysis, health checks, and performance monitoring - 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)

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

Question #1

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?

A. Inspect Service and Endpoints objects.
B. Increase replica count for both services.
C. Restart the failing deployment.
D. Test DNS resolution from your workstation.

Question #2

Drag and Drop Question
You are preparing a container image for deployment to production.
The container image build and deployment process must ensure the following:
- The image is uniquely versioned.
- Secure authentication is used when pushing the image to Azure
Container Registry (ACR).
- The image is stored in ACR for deployment.
You need to ensure that the container image build-and-push process meets the requirements.
Which action should you perform for each requirement? To answer, move the appropriate actions to the correct requirements. You may use each action 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

Drag and Drop Question
You are investigating high latency in an AI search application that processes millions of requests daily. Telemetry is stored in Azure Monitor Logs.
You must create a KQL query that correlates information from the AppRequests table and the AppDependencies table. The query must meet the following requirements:
- Include only data from the last 24 hours.
- Filter for failed requests only.
- Calculate the average duration of dependencies, grouped by operation.
The query must be optimized for performance by minimizing the initial data scan.
You need to create the query.
Which five actions should you perform in sequence? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Question #4

You are designing an Azure Database for PostgreSQL table for semantic search. Queries frequently filter on the created_at column.
The schema must support vector similarity search and reliable date filtering.
You need to ensure that the table meets the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Store created_at as a free-form string.
B. Store embeddings in a pg vector column.
C. Use a typed timestamp column for created_at.
D. Store embeddings in a varchar column.

Question #5

Hotspot Question
You are developing an AI application that retrieves database credentials from Key Vault by using the Azure SDK for Python.
The application must use managed identity for authentication.
You review the following code segment that retrieves a secret from Key Vault.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.