AI-200 study plan

Week 1chapters 1–4 · about 8 hours Done

• Read these chapters:
  • 1. Azure Container Registry and ACR Tasks
  • 2. Containers on Azure App Service
  • 3. Azure Container Apps: environments, revisions and secrets
  • 4. Scaling Container Apps with KEDA
• After each chapter, cover its key takeaways and explain each one out loud. Re-read any you can’t.
• Free study notes for this week: Azure Container Apps revisions: single vs multiple revision mode, Custom KEDA scale rules in Azure Container Apps.
• Look up any unfamiliar term in the AI-200 glossary.

Exam skill areas this week: Develop containerized solutions on Azure · 20–25%

Week 2chapters 5–8 · about 8 hours Done

• Read these chapters:
  • 5. Deploying to Azure Kubernetes Service with manifests
  • 6. Monitoring and troubleshooting AKS and Container Apps
  • 7. Azure Cosmos DB for NoSQL for AI apps
  • 8. Azure Database for PostgreSQL for vector workloads
• After each chapter, cover its key takeaways and explain each one out loud. Re-read any you can’t.
• Free study notes for this week: Azure Cosmos DB consistency levels explained: strong to eventual, pgvector indexes on Azure PostgreSQL: IVFFlat vs HNSW vs DiskANN.
• Look up any unfamiliar term in the AI-200 glossary.

Exam skill areas this week: Develop containerized solutions on Azure · 20–25%Develop AI solutions by using Azure data management services · 25–30%Secure, monitor, and troubleshoot Azure solutions · 20–25%

Week 3chapters 9–12 · about 9 hours Done

• Read these chapters:
  • 9. Azure Managed Redis for caching and vector search
  • 10. Messaging and events: Service Bus and Event Grid
  • 11. Azure Functions: serverless APIs, triggers and bindings
  • 12. Security and observability: Key Vault, App Configuration, OpenTelemetry and KQL
• After each chapter, cover its key takeaways and explain each one out loud. Re-read any you can’t.
• Free study notes for this week: Cache-aside, write-through and invalidation with Azure Managed Redis, Service Bus vs Event Grid vs Event Hubs: choosing Azure messaging, Azure Functions hosting plans: Flex Consumption, Premium and cold start, Azure Key Vault access model: RBAC vs access policies.
• Look up any unfamiliar term in the AI-200 glossary.

Exam skill areas this week: Develop AI solutions by using Azure data management services · 25–30%Connect to and consume Azure services · 20–25%Secure, monitor, and troubleshoot Azure solutions · 20–25%

Week 4review Done

• Go back through every chapter’s key takeaways. Anything you can’t explain without looking, re-read that section.
• Re-read the common-trap callouts: they mark the answers that look right but aren’t.
• Check the exam coverage map against Microsoft’s own outline, in case it has changed since the book was checked.
• Take Microsoft’s free practice assessment, if your exam has one, from the official AI-200 study guide page. Revisit the chapters behind any weak area.
• Try the exam sandbox to get used to the exam’s screens and question formats.
• Get the free exam-day checklist and work through it a few days before your exam.

Week 1chapters 1–2 · about 4 hours Done

• Read these chapters:
  • 1. Azure Container Registry and ACR Tasks
  • 2. Containers on Azure App Service
• After each chapter, cover its key takeaways and explain each one out loud. Re-read any you can’t.
• Look up any unfamiliar term in the AI-200 glossary.

Exam skill areas this week: Develop containerized solutions on Azure · 20–25%

Week 2chapters 3–4 · about 4 hours Done

• Read these chapters:
  • 3. Azure Container Apps: environments, revisions and secrets
  • 4. Scaling Container Apps with KEDA
• After each chapter, cover its key takeaways and explain each one out loud. Re-read any you can’t.
• Free study notes for this week: Azure Container Apps revisions: single vs multiple revision mode, Custom KEDA scale rules in Azure Container Apps.
• Look up any unfamiliar term in the AI-200 glossary.

Exam skill areas this week: Develop containerized solutions on Azure · 20–25%

Week 3chapters 5–6 · about 3 hours Done

• Read these chapters:
  • 5. Deploying to Azure Kubernetes Service with manifests
  • 6. Monitoring and troubleshooting AKS and Container Apps
• After each chapter, cover its key takeaways and explain each one out loud. Re-read any you can’t.
• Look up any unfamiliar term in the AI-200 glossary.

Exam skill areas this week: Develop containerized solutions on Azure · 20–25%Secure, monitor, and troubleshoot Azure solutions · 20–25%

Week 4chapters 7–8 · about 4 hours Done

• Read these chapters:
  • 7. Azure Cosmos DB for NoSQL for AI apps
  • 8. Azure Database for PostgreSQL for vector workloads
• After each chapter, cover its key takeaways and explain each one out loud. Re-read any you can’t.
• Free study notes for this week: Azure Cosmos DB consistency levels explained: strong to eventual, pgvector indexes on Azure PostgreSQL: IVFFlat vs HNSW vs DiskANN.
• Look up any unfamiliar term in the AI-200 glossary.

Exam skill areas this week: Develop AI solutions by using Azure data management services · 25–30%

Week 5chapters 9–10 · about 4 hours Done

• Read these chapters:
  • 9. Azure Managed Redis for caching and vector search
  • 10. Messaging and events: Service Bus and Event Grid
• After each chapter, cover its key takeaways and explain each one out loud. Re-read any you can’t.
• Free study notes for this week: Cache-aside, write-through and invalidation with Azure Managed Redis, Service Bus vs Event Grid vs Event Hubs: choosing Azure messaging.
• Look up any unfamiliar term in the AI-200 glossary.

Exam skill areas this week: Develop AI solutions by using Azure data management services · 25–30%Connect to and consume Azure services · 20–25%

Week 6chapter 11 · about 2 hours Done

• Read chapter:
  • 11. Azure Functions: serverless APIs, triggers and bindings
• After each chapter, cover its key takeaways and explain each one out loud. Re-read any you can’t.
• Free study notes for this week: Azure Functions hosting plans: Flex Consumption, Premium and cold start.
• Look up any unfamiliar term in the AI-200 glossary.

Exam skill areas this week: Develop AI solutions by using Azure data management services · 25–30%Connect to and consume Azure services · 20–25%

Week 7chapter 12 · about 2 hours Done

• Read chapter:
  • 12. Security and observability: Key Vault, App Configuration, OpenTelemetry and KQL
• After each chapter, cover its key takeaways and explain each one out loud. Re-read any you can’t.
• Free study notes for this week: Azure Key Vault access model: RBAC vs access policies.
• Look up any unfamiliar term in the AI-200 glossary.

Exam skill areas this week: Secure, monitor, and troubleshoot Azure solutions · 20–25%

Week 8review Done

• Go back through every chapter’s key takeaways. Anything you can’t explain without looking, re-read that section.
• Re-read the common-trap callouts: they mark the answers that look right but aren’t.
• Check the exam coverage map against Microsoft’s own outline, in case it has changed since the book was checked.
• Take Microsoft’s free practice assessment, if your exam has one, from the official AI-200 study guide page. Revisit the chapters behind any weak area.
• Try the exam sandbox to get used to the exam’s screens and question formats.
• Get the free exam-day checklist and work through it a few days before your exam.