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Microsoft AI-200 Exam Syllabus Topics:

SectionWeightObjectives
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. Orchestrate AI pipelines and workflows
  • 2. Azure Functions for AI integration and processing
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. Manage configurations and secrets for containers
  • 2. Log analysis, health checks, and performance monitoring
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. App Configuration for dynamic settings
  • 2. Managed identities and access control
  • 3. Azure Key Vault for secrets, keys, and certificates
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

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. Your Azure AI Search index must support both exact keyword matches on product SKUs and semantic similarity search on product descriptions in a single query. What should you configure?

A) Two completely separate indexes queried independently
B) A vector-only index
C) A hybrid search index combining vector fields and searchable text fields
D) A keyword-only index


2. A development team wants to compare multiple prompt variations against the same test dataset and visualize which prompt performs best. What should they use in Azure AI Foundry?

A) Azure AI Search indexers
B) Model deployment quota management
C) Speech Studio custom voice
D) Prompt flow with variants


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


4. Hotspot Question
You plan to develop an Azure Functions app with an HTTP trigger.
The app must support the following functionality:
- Event-driven scaling
- Ability to use custom Linux images for function execution
You need to identify the app's hosting plan and the maximum amount of time that the app function can take to respond to incoming requests.
Which configuration setting values should you use? To answer, select the appropriate values in the answer area.
NOTE: Each correct selection is worth one point.


5. You develop a message-processing service deployed to Azure Container Apps. The service reads messages from an Azure Service Bus queue.
The solution must minimize costs by ensuring NO compute resources are consumed when the queue is empty.
You need to configure scaling for the service.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A) Enable HTTP ingress concurrency scaling.
B) Configure a Kubernetes Event-driven Autoscaler rule that monitors queue length.
C) Configure the scaling rule to allow for the termination of all active replicas.
D) Increase the scaling rule to allow for the maximum running replica count.


Solutions:

Question # 1
Answer: C
Question # 2
Answer: D
Question # 3
Answer: C,D,E
Question # 4
Answer: Only visible for members
Question # 5
Answer: B,C

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