Microsoft · Associate (beta)

How to pass Microsoft Certified: Azure AI Cloud Developer Associate (beta) (AI-200)

An independent, practice-first guide: the exam objectives, a study approach that targets your weak areas, and a free diagnostic that tells you when you're ready. Independent prep, not affiliated with Microsoft.

A five-step plan to pass AI-200

1

Find your gaps

Take the free diagnostic. It scores you by domain so you know exactly what to study, before you spend evenings or a cent on the exam.

2

Practice what matters

Work the objectives where practice will move your score most, not the ones you already know. Original questions with explanations that teach.

3

Take mock exams

Test under realistic time and question constraints. Mocks surface pacing problems and weak domains a study guide can't.

4

Do a final review

Tighten your single weakest domain and re-check the never-miss objectives.

5

Schedule when the evidence says so

Use your readiness score and domain results to decide. Walk in prepared, not hopeful.

AI-200 exam objectives

The published blueprint, with domain weights. Practice weighted the way the exam is weighted.

Develop containerized solutions on Azure

23%
  • 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

Develop AI solutions by using Azure data management services

28%
  • 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

Connect to and consume Azure services

23%
  • 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

Secure, monitor, and troubleshoot Azure solutions

23%
  • 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

Common questions

What does the AI-200 exam cover?

Microsoft Certified: Azure AI Cloud Developer Associate (beta) covers 4 domains: Develop containerized solutions on Azure, Develop AI solutions by using Azure data management services, Connect to and consume Azure services, Secure, monitor, and troubleshoot Azure solutions. Each is weighted, so your practice should be weighted the same way.

How do I know when I'm ready for AI-200?

Use an evidence-based readiness score (knowledge, blueprint coverage, consistency, and recency), not a completion percentage. When it says you're prepared, you are.

Are these practice questions exam dumps?

No. Every question is original and mapped to the published objectives. We never use dumps or leaked material.

Ready to find your AI-200 gaps?

The free diagnostic scores you by domain in about five minutes.

Take the free diagnostic

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