AI-200 Practice Test & Mock Exam
Practice Microsoft Azure AI Cloud Developer Associate (AI-200) in IT Mastery with focused sample pages, topic drills, timed mock exams, detailed explanations, and the current question bank.
Use IT Mastery for interactive practice with timed mocks, topic drills, progress tracking, and detailed explanations across web and mobile. The free-practice page previews how this exam handles Azure containers, serverless services, AI data services, service integration, identity, security, monitoring, and troubleshooting.
Practice preview
Use this page to start the web app before longer mixed practice. For a public question-style check, use the quick review and the free-practice page in this exam section; the interactive app remains the primary practice path.
- cheat sheet : Key Azure AI concepts; practice-ready review.
- Free practice exam : Try 60 free Microsoft Azure AI Cloud Developer Associate (AI-200) questions across the exam domains, with explanations, then continue with IT Mastery practice.
What this AI-200 practice page gives you
- a direct web entry for AI-200 practice in IT Mastery
- The free-practice page
- a static diagnostic page across the AI-200 topic areas
- topic drills for containers, AI data services, Azure service integration, security, monitoring, and troubleshooting
- the same IT Mastery account across web and mobile
Who AI-200 is for
- developers building backend and AI-enabled applications on Microsoft Azure
- candidates moving from AZ-204-style Azure development into the current Azure AI cloud developer route
- teams that need practice around containers, Azure Functions, messaging, data services, security, monitoring, and troubleshooting
AI-200 exam snapshot
- Issuer: Microsoft
- Certification lane: Microsoft Certified: Azure AI Cloud Developer Associate
- Exam code: AI-200
- Practice support: focused sample pages, a static diagnostic page, and live IT Mastery practice
- Current IT Mastery status: live practice available
Topic coverage for AI-200
| Domain | Weight |
|---|---|
| Develop Containerized Solutions on Azure | 23% |
| Develop AI Solutions by Using Azure Data Management Services | 29% |
| Connect to and Consume Azure Services | 24% |
| Secure, Monitor, and Troubleshoot Azure Solutions | 24% |
AI-200 application build map
Use this map to connect individual questions to the Azure AI cloud-developer decisions this practice page tests.
flowchart LR
S1["App requirement"] --> S2
S2["Choose compute boundary"] --> S3
S3["Connect AI and data services"] --> S4
S4["Secure identities and secrets"] --> S5
S5["Add observability and resilience"] --> S6
S6["Ship reviewed release"]
AI-200 readiness map
| Area | What strong readiness looks like |
|---|---|
| Containerized solutions | You can choose container app, registry, revision, scaling, identity, and deployment patterns from scenario evidence. |
| AI data services | You can match vector search, document storage, caching, relational data, and data-governance requirements to Azure services. |
| Azure service integration | You can choose queues, events, API boundaries, Functions, and workflow patterns that avoid brittle synchronous designs. |
| Security and operations | You can apply managed identity, Key Vault, App Configuration, telemetry, KQL, retry strategy, and troubleshooting evidence. |
Mini Glossary
- Azure Container Apps: Managed container platform for microservices, APIs, and event-driven workloads without direct Kubernetes cluster management.
- Embedding: Numeric representation used for semantic search and similarity matching.
- Managed identity: Azure identity feature that lets services authenticate without stored application secrets.
- Queue: Messaging pattern that decouples request intake from later processing.
- Vector search: Retrieval method that compares embeddings by similarity rather than exact keywords only.
Free study resources
Use this IT Mastery page for live practice, topic drills, timed mocks, explanations, and app access.
Web preview and premium practice
- Web/public preview: a smaller web set so you can validate the question style and explanation depth.
- Premium: interactive web-app practice with focused drills, mixed sets, timed mock exams, detailed explanations, and progress tracking across web and mobile.
Good next pages after AI-200
- AI-103 if you are comparing Azure AI apps-and-agents development with AI cloud-development work
- AI-900 if you need Azure AI fundamentals first
- AZ-104 if your weak point is Azure identity, networking, storage, and operations context
- Microsoft Certification Practice Hub if you are comparing Azure, Fabric, security, Microsoft 365, Power Platform, Dynamics 365, GitHub, or Windows Server routes
Official sources
In this section
- AI-200 — Microsoft Azure AI Cloud Developer Associate Cheat SheetCompact AI-200 Cheat sheet for Azure AI service selection, RAG patterns, security, deployment, and troubleshooting.
- AI-200 — Microsoft Azure AI Cloud Developer Associate Study PlanA practical AI-200 study schedule for Microsoft Azure AI Cloud Developer Associate candidates, with 7-day, 14-day, 30-day, and 60/90-day paths.
- AI-200 — Microsoft Azure AI Cloud Developer Associate Exam BlueprintPractical exam blueprint for Microsoft AI-200 candidates preparing for Azure AI development, integration, security, monitoring, and final review.
- AI-200 — Microsoft Azure AI Cloud Developer Associate Scenario Practice GuideLearn how to read AI-200 scenarios, identify Azure AI requirements, and choose defensible cloud developer answers.
- Free AI-200 Practice Exam: Microsoft Azure AI Cloud Developer AssociateTry 60 free Microsoft Azure AI Cloud Developer Associate (AI-200) questions across the exam domains, with explanations, then continue with IT Mastery practice.
- AI-200 — Microsoft Azure AI Cloud Developer Associate Official ResourcesFind official AI-200 Microsoft exam resources to verify objectives, version, registration, booking, and use them with independent practice.