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Microsoft AI-200 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: 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. Manage configurations and secrets for containers
  • 2. Log analysis, health checks, and performance monitoring
Topic 2: Secure, monitor, and optimize AI solutions20%- 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
- Implement observability and reliability
  • 1. Logging, metrics, and distributed tracing
  • 2. Optimize performance, cost, and scalability
  • 3. OpenTelemetry and Azure Monitor integration
Topic 3: 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 Service Bus for reliable messaging
  • 2. Azure Event Grid for event-driven processing
  • 3. Connect services and expose APIs securely
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 (Q17-Q22):

NEW QUESTION # 17
You are provisioning and configuring a Service Bus processor for AI batch jobs.
The processor must connect to an existing queue, register handlers for message and error processing, and then begin receiving messages.
You need to provision and configure the Service Bus processor for message and error handling.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Answer:

Explanation:

Explanation:

Verified answer: 1) Create the Service Bus client; 2) create the queue processor/receiver; 3) register message and error handlers; 4) start the message processor.
Detailed Explanation: The processor depends on a namespace client/connection, so the client is created first.
Next, the queue-specific processor or receiver is created from that client. Message and error callbacks must be registered before processing starts so incoming messages and failures have defined handlers. Starting the processor is therefore the final step. Dead-lettering failed messages is an optional application settlement decision and is not a prerequisite for constructing and starting the processor.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Service Bus message transfers, locks, and settlement


NEW QUESTION # 18
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?

Answer: A

Explanation:
Progressive summarization of older conversation turns, combined with keeping recent turns verbatim, is a standard technique to preserve conversational context within a limited token budget without abruptly losing history.


NEW QUESTION # 19
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?

Answer: B


NEW QUESTION # 20
You deploy an API to Azure Container Apps.
The solution must provide the following functionality:
* Support the concurrent activation of multiple application versions.
* Allocate a specific percentage of incoming requests to a secondary version You need to configure revision behavior.
Which configurations should you use? 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:

oncurrent active versions: Multiple revision mode. Route a percentage to the secondary version: Traffic splitting.
Detailed Explanation: Azure Container Apps supports side-by-side application versions through multiple revision mode. Once multiple revisions can be active, ingress traffic can be distributed by percentage across those revisions. This is the required combination for canary or controlled rollout scenarios. Single revision mode deactivates the previous revision as a new one becomes active, while traffic splitting is the specific feature that assigns a percentage of incoming requests to each active revision.
Study Guide Alignment: Containerized Azure workloads: registry builds, App Service containers, Container Apps revision/scaling behavior, and AKS deployment choices.
Official Microsoft Learn References: AI-200 Study Guide | Azure Container Apps revisions


NEW QUESTION # 21
You deploy a production Azure Function app that connects to an Azure SQL Database.
The solution must provide the following functionality:
- Prevent secrets from being exposed in source control.
- Support secret rotation without redeploying the function app.
- Avoid downtime during credential updates.
You need to configure secure and maintainable secret management.
What should you configure?

Answer: A

Explanation:
To meet all requirements, you should configure Application settings with Key Vault references.
Source Control Protection: The Function App source code and configuration files only store a reference URI (e.g., @Microsoft.KeyVault(SecretUri=...)) rather than the actual connection string, keeping secrets entirely out of source control.
Seamless Secret Rotation: Azure Key Vault handles secret rotation natively. When a database password changes, you simply update the secret in Key Vault.
Zero Downtime: By using versionless Key Vault references (omitting the specific version GUID from the URI), the Azure Function App will automatically fetch the latest secret version within 24 hours without requiring a code redeployment or app restart.
References:
https://oneuptime.com/blog/post/2026-02-16-how-to-configure-managed-identity-for-azure-app-service-to-access-key-vault-secrets-without-credentials/view


NEW QUESTION # 22
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