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Certification Provider:	Microsoft
Exam Code / Number:	AI-200
Exam Name:	Developing AI Cloud Solutions on Azure
Exam Questions:	93
Last Updated:	Aug 01, 2026
Corresponding Certification:	Azure AI Engineer Associate

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Microsoft AI-200 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Develop containerized AI solutions on Azure	25%	- Monitor and troubleshoot containerized workloads 1. Manage configurations and secrets for containers 2. Log analysis, health checks, and performance monitoring - Implement container hosting environments 1. Deploy to Azure Container Apps and Azure Kubernetes Service (AKS) 2. Configure scaling, networking, and security for containers 3. Azure Container Registry: store, version, manage images
Topic 2: Integrate backend services and build event-driven architectures	25%	- Build serverless APIs and workflows 1. Azure Functions for AI integration and processing 2. Orchestrate AI pipelines and workflows - Implement messaging and event systems 1. Azure Event Grid for event-driven processing 2. Connect services and expose APIs securely 3. Azure Service Bus for reliable messaging
Topic 3: Develop AI solutions using Azure data services	30%	- Design and optimize data access and retrieval 1. Implement hybrid search and retrieval patterns 2. Indexing strategies, query optimization, and consistency models - Implement vector-enabled databases 1. Azure Cosmos DB for NoSQL with vector search 2. Azure Database for PostgreSQL with pgvector extension 3. Azure Managed Redis for caching, streaming, and vector storage
Topic 4: Secure, monitor, and optimize AI solutions	20%	- Implement observability and reliability 1. OpenTelemetry and Azure Monitor integration 2. Optimize performance, cost, and scalability 3. Logging, metrics, and distributed tracing - Manage security and configuration 1. Azure Key Vault for secrets, keys, and certificates 2. App Configuration for dynamic settings 3. Managed identities and access control