AI-200 Study Guide
Develop AI Cloud Solutions on Azure
Concise notes, infographics, cheatsheets, code examples, and exam tips for every module of the Microsoft AI-200 certification (Course AI-200T00-A). Built by developers, for developers.
📋 AI-200 Exam Quick Facts
Exam Domains
The AI-200 exam measures 4 skill domains. Focus your study time using the weights below.
AI-200 Exam Weight Distribution Across All 4 Domains
Domain 1: Develop Containerized Solutions on Azure
20–25%Domain 2: Develop AI Solutions by Using Azure Data Management Services
25–30%Domain 4: Secure, Monitor, and Troubleshoot Azure Solutions
20–25%All 9 Modules
Each module aligns with Course AI-200T00-A. Notes, SVG infographics, code examples, cheatsheets, and exam tips.
Implement Container Application Hosting on Azure
Build, store, version, and manage container images using Azure Container Registry. Build and run images with ACR Tasks. Deploy containers to Azure App Service with environment variables and secrets.
Deploy and Manage Apps on Azure Container Apps
Deploy applications to Azure Container Apps with environment configuration and revision management. Implement event-driven scaling with KEDA. Deploy and manage apps on AKS using manifest files.
Deploy and Monitor Applications on Azure Kubernetes Service
Deploy and manage workloads on AKS using kubectl and manifest files. Configure node pools, networking with Azure CNI, and monitor with Container Insights and KQL.
Develop AI Solutions with Azure Cosmos DB for NoSQL
Connect to Cosmos DB using the SDK and run queries. Optimize RU consumption with indexing policies and consistency levels. Store embeddings and execute vector similarity search. Implement change feed processor.
Develop AI Solutions with Azure Database for PostgreSQL
Connect and query PostgreSQL Flexible Server with SDKs. Model schemas and implement indexing strategies. Configure resources for vector workloads. Run vector similarity search and implement RAG patterns.
Enhance AI Solutions with Azure Managed Redis
Implement Azure Managed Redis data operations including caching, expiration, and invalidation. Implement vector indexing to enable similarity search for semantic caching and RAG.
Integrate Backend Services for AI Solutions
Queue and process back-end operations with Azure Service Bus including dead-letter queue handling. Implement event-driven workflows with Event Grid. Build serverless APIs with Azure Functions triggers and bindings.
Manage Application Secrets and Configuration for AI Solutions
Secure secrets by using Azure Key Vault, including rotation and retrieval. Store and retrieve app configuration using Azure App Configuration. Use Key Vault references and feature flags.
Observe and Troubleshoot Apps on Azure
Trace distributed systems by using OpenTelemetry SDKs. Write KQL queries to analyze logs and metrics. Configure Application Insights, set up alerts, and build observability pipelines.
Why AI-200 Prep?
Official Alignment
Every module maps exactly to Course AI-200T00-A skill objectives. No guessing what's on the exam.
SVG Infographics
Visual decision matrices and architecture diagrams for containers, vectors, messaging, and monitoring.
Exam-Ready Tips
Memory tricks, decision matrices, top gotchas, and a revision page compiling everything for last-minute review.
Ready to ace the AI-200?
Start with Module 1 — ACR. Then use the Revision page the night before your exam.
Frequently Asked Questions
What is the AI-200 exam? +
The AI-200 (Developing AI Cloud Solutions on Azure) is a Microsoft certification exam that validates your ability to design, build, and deploy AI-powered applications on Azure. It replaces the AZ-204 exam (retiring July 31, 2026) and focuses on containers, AI data services, event-driven architectures, and observability.
Is the AI-200 harder than AZ-204? +
The AI-200 covers similar compute and messaging topics as AZ-204, but adds AI-specific data services (Cosmos DB vector search, pgvector, Redis vector search) and modern observability (OpenTelemetry, KQL). If you're already familiar with AZ-204, the new AI data services are the main areas to focus on.
How should I prepare for the AI-200? +
Use this free study guide to cover all 9 learning paths. Each module includes concise notes, code examples, animated diagrams, and exam tips. Supplement with hands-on Azure practice and the official Microsoft Learn training course (AI-200T00-A).
What score do I need to pass the AI-200? +
You need a minimum score of 700 out of 1000 to pass. The exam has approximately 40-60 questions and you have 100 minutes to complete it. Question types include multiple choice, multiple response, drag-and-drop, and case studies.