Microsoft Developing AI Cloud Solutions on Azure : AI-200

  • Exam Code: AI-200
  • Exam Name: Developing AI Cloud Solutions on Azure
  • Updated: Aug 11, 2026
  • Q & A: 93 Questions and Answers

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Microsoft AI-200 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Develop AI solutions using Azure data services30%- Design and optimize data access and retrieval
  • 1. Indexing strategies, query optimization, and consistency models
  • 2. Implement hybrid search and retrieval patterns
- 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 2: Secure, monitor, and optimize AI solutions20%- Manage security and configuration
  • 1. Azure Key Vault for secrets, keys, and certificates
  • 2. App Configuration for dynamic settings
  • 3. Managed identities and access control
- Implement observability and reliability
  • 1. Optimize performance, cost, and scalability
  • 2. Logging, metrics, and distributed tracing
  • 3. OpenTelemetry and Azure Monitor integration
Topic 3: Develop containerized AI solutions on Azure25%- 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)
- Monitor and troubleshoot containerized workloads
  • 1. Log analysis, health checks, and performance monitoring
  • 2. Manage configurations and secrets for containers
Topic 4: Integrate backend services and build event-driven architectures25%- 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. Azure Service Bus for reliable messaging
  • 3. Connect services and expose APIs securely

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. Your chat application calls Azure OpenAI Service. You need to prevent the model from returning content that promotes self-harm, even if the prompt is crafted to bypass instructions. What should you configure?

A) Azure AI Search semantic ranking
B) A lower max_tokens value
C) Azure AI Content Safety filters on the Azure OpenAI resource
D) A system message instructing the model to refuse harmful topics


2. You are developing a Java application to be deployed in Azure. The application stores sensitive data in Azure Cosmos DB.
You need to configure Always Encrypted to encrypt the sensitive data inside the application.
What should you do first?

A) Create a new container to include an encryption policy with the JSON properties to be encrypted.
B) Create a customer-managed key (CMK) and store the key in a new Azure Key Vault instance.
C) Create a Microsoft Entra ID managed identity and assign the identity to a new Azure Key Vault instance.
D) Create a data encryption key (DEK) by using the Azure Cosmos DB SDK and store the key in Azure Cosmos DB.


3. 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) Summarize older turns and retain recent turns verbatim
C) Truncate all history after 2 turns
D) Store history only in the client and never send it to the model


4. You are developing an AI API deployed to ACA. The API requires database credentials that are stored in Key Vault. Key Vault is configured to use Azure RBAC for access control.
The database credentials are rotated periodically by the security team. The application must always use the latest version of each credential without being redeployed and without exposing secrets in code or configurations.
You need to implement a secure secret access strategy that prevents credential exposure and fetches the latest version of each secret at runtime without redeploying the container.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Retrieve the secret at runtime by using the SDK.
B) Configure a Key Vault access policy.
C) Export the secret during deployment.
D) Assign a system-assigned managed identity.
E) Configure a Key Vault RBAC role assignment.


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: C
Question # 2
Answer: B
Question # 3
Answer: B
Question # 4
Answer: A,D,E
Question # 5
Answer: B

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