Microsoft AI-200 Certification
The free study guide for Azure AI Cloud Developers
759 practice questions with answers and one-line shortcuts, plus nine modules of notes, cheatsheets and exam tips mapped to Course AI-200T00-A. No login, no paywall.
- 759 practice questions
- 16 practice sets
- 20 high-yield picks
- 9 study modules
Exam structure
Four skill domains
Microsoft weights each domain differently. Allocate study time in proportion to the weight rather than to personal interest — Domain 2 carries the most marks and contains the material least likely to be covered by prior Azure experience.
- Domain 1
Develop Containerized Solutions on Azure
20–25% - Domain 2 Highest weight
Develop AI Solutions by Using Azure Data Management Services
25–30% - 20–25%
- Domain 4
Secure, Monitor, and Troubleshoot Azure Solutions
20–25%
Course content
Nine study modules
Each module maps to Course AI-200T00-A and includes concise notes, diagrams, code examples, 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.
Practice
Test yourself
All 759 questions are free, with the answer and a one-line shortcut for each.
Practice sets
16 fixed sets of 47–48 questions, each mixing all four domains. Retake any set to track your progress.
Start a set →Timed mock exams
A 20-question mini mock or a full 45-question, 100-minute exam weighted to the real domain distribution.
Take a mock →Question bank by service
Drill one Azure service at a time across 13 modules when a practice set shows a weak spot.
Browse the bank →Start with Module 1
Begin with Azure Container Registry, work through all nine modules, then use the exam preparation page for final review the night before your exam.
Frequently asked questions
Is this study guide really free? +
Yes. All 9 modules, cheatsheets, exam tips, the 759-question bank, the 16 practice sets and the mock exams are free, with no account required.
Where can I find free AI-200 practice questions? +
The 16 practice sets on this site contain 759 exam-style questions with answers and explanations, and the High-Yield 20 covers the most-tested concepts in about 10 minutes. There is also a timed full-length mock exam.
What is the AI-200 exam? +
The AI-200 (Developing AI Cloud Solutions on Azure) is the Microsoft exam for the Azure AI Cloud Developer Associate certification. It replaces the AZ-204 exam (retiring July 31, 2026) and focuses on containers, AI data services, event-driven architectures, security 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 already know AZ-204, the new AI data services are the main areas to focus on.
What score do I need to pass the AI-200? +
You need at least 700 out of 1000. The exam has approximately 40–60 questions and you have 100 minutes. Question types include multiple choice, multiple response, drag-and-drop, and case studies.
How long does it take to prepare for AI-200? +
Most candidates with an Azure background (AZ-204 or equivalent experience) need 3–5 weeks studying 1–2 hours per day. Candidates new to Azure containers and databases should plan for 6–8 weeks.
How should I prepare for the AI-200? +
Work through the 9 study modules, then take one practice set per session and revise the domains you score lowest in. Finish with a timed full-length mock exam, plus hands-on Azure practice and the official Microsoft Learn course (AI-200T00-A).
What topics does AI-200 cover? +
Four domains: (1) Containerized solutions — ACR, AKS, Container Apps. (2) AI data solutions — Cosmos DB vector search, PostgreSQL/pgvector, Redis. (3) Event-driven solutions — Service Bus, Event Grid, Event Hubs, Functions. (4) Security and monitoring — Key Vault, RBAC, Azure Monitor, KQL.
How is this guide different from Microsoft Learn? +
Microsoft Learn is comprehensive but dense. This guide is exam-focused — each module is distilled to what actually appears in the exam, with clear explanations of why answers are correct, not just what the answer is.
Do I need to code to pass AI-200? +
The exam is scenario-based multiple choice, not a coding test. However, understanding code patterns (ARM/Bicep, Kubernetes YAML, Python SDK calls) helps you reason through scenario questions faster.
Exam strategy & guides
Latest AI-200 Study Articles
Field notes, architectural comparisons, and syllabus analysis to help you pass first time.