MicrosoftAI-200Associate (beta)

Microsoft Certified: Azure AI Cloud Developer Associate (beta)

Independent, adaptive preparation aligned to the published AI-200 exam blueprint. Learn to explain and apply the technology, not just memorize enough to pass.

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Take the official exam through Microsoft or its authorized delivery partner. SkillsTech Certified does not administer the exam or issue the Microsoft credential.

Track at a glance

Exam code
AI-200
Version
2026-04-15 (beta)
Level
Associate (beta)
Blueprint domains
4
Lessons
4
Original practice questions
11
Flashcards
12
Last reviewed
2026-07-08
Next scheduled review
2026-08-08
Blueprint facts are re-verified against the official exam guide on the review schedule above.
Exam blueprint

Domains & weights

Every lesson and question is mapped to a domain and objective below, and every attempt records the exam version it was answered under.

Domain 1: Develop containerized solutions on Azure

23% of exam

Published weight ~20-25%. Host container apps: Azure Container Registry, App Service, Container Apps (revisions, KEDA scaling), and AKS, plus monitoring and troubleshooting.

  • Implement container application hosting
  • Manage container images with Azure Container Registry and ACR Tasks
  • Deploy containers to Azure App Service
  • Deploy to Azure Container Apps (revisions, KEDA event-driven scaling)
  • Deploy and manage applications on Azure Kubernetes Service (AKS)
  • Monitor and troubleshoot AKS and Container Apps

Domain 2: Develop AI solutions by using Azure data management services

28% of exam

Published weight ~25-30%. Build AI/RAG solutions with Azure Cosmos DB for NoSQL (vectors, change feed), Azure Database for PostgreSQL (pgvector), and Azure Managed Redis.

  • Develop AI solutions with Azure Cosmos DB for NoSQL (SDK, queries, RU/indexing)
  • Store/retrieve embeddings and run vector similarity search in Cosmos DB
  • Implement the change feed processor for new/updated items
  • Develop AI solutions with Azure Database for PostgreSQL (pgvector, RAG)
  • Run vector similarity search and metadata-filtered retrieval in PostgreSQL
  • Integrate Azure Managed Redis for caching and vector indexing

Domain 3: Connect to and consume Azure services

23% of exam

Published weight ~20-25%. Event- and message-driven integration with Service Bus, Event Grid, and Azure Functions (triggers and bindings).

  • Queue and process operations with Azure Service Bus (topics, subscriptions, dead-letter queues)
  • Implement event-driven workflows with Azure Event Grid
  • Build serverless APIs with Azure Functions triggers and bindings
  • Configure and deploy function apps

Domain 4: Secure, monitor, and troubleshoot Azure solutions

23% of exam

Published weight ~20-25%. Secrets and configuration with Key Vault and App Configuration; observability with OpenTelemetry and KQL.

  • Secure secrets with Azure Key Vault (rotation and retrieval)
  • Store and retrieve app configuration with Azure App Configuration
  • Trace distributed systems using OpenTelemetry SDKs
  • Write KQL queries to analyze logs and metrics

Source & provenance

  • Microsoft Certified: Azure AI Cloud Developer Associate: official source (retrieved 2026-07-08)
  • AI-200 study guide: official source (retrieved 2026-07-08)

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