Microsoft Azure publishes exactly what the AI-200 tests and how much each part is worth. Here it is — every domain, its weight, the topics inside it, and the lessons that cover them.
Domain 1
Develop containerized solutions on Azure
Building and storing images with Azure Container Registry and ACR Tasks, hosting containers on App Service, and running orchestrated workloads on Azure Container Apps (revisions, KEDA scaling) and AKS (manifests, logs, connectivity). Official weighting 20–25%.
2 topics in this domain
- Implement container application hosting
- Implement container-orchestrated solutions
Domain 2
Develop AI solutions by using Azure data management services
The data layer of AI apps: Azure Cosmos DB for NoSQL (SDK queries, RUs, indexing, consistency, vector search, change feed), Azure Database for PostgreSQL (schemas, pgvector indexing, compute sizing, RAG with metadata filters, connections) and Azure Managed Redis (caching and vector indexing). Official weighting 25–30%.
4 topics in this domain
- Develop AI solutions by using Azure Cosmos DB for NoSQL
- PostgreSQL connections, schemas and data types
- PostgreSQL pgvector indexing, compute and vector search
- Integrate Azure Managed Redis in AI solutions
Domain 3
Connect to and consume Azure services
Messaging and serverless: Azure Service Bus queues, topics, subscriptions and dead-lettering, Azure Event Grid filters, custom events and retries, and Azure Functions triggers, bindings, configuration and deployment. Official weighting 20–25%.
2 topics in this domain
- Develop event- and message-based AI solutions
- Develop and implement Azure Functions
Domain 4
Secure, monitor, and troubleshoot Azure solutions
Securing secrets with Azure Key Vault (rotation, retrieval) and configuration with Azure App Configuration, tracing distributed systems with OpenTelemetry SDKs, and analysing logs and metrics with KQL. Official weighting 20–25%.
2 topics in this domain
- Implement secure Azure solutions
- Monitor and troubleshoot Azure solutions