What Is Exam AI-200? Skills, Format, and Who Should Take It

Exam AI-200, Developing AI Cloud Solutions on Azure, is a Microsoft role-based certification exam for candidates who build AI solutions on Azure. The credential is Microsoft Certified: Azure AI Cloud Developer Associate, currently in beta. It focuses less on explaining what AI is and more on implementing cloud services that support real AI applications.

The audience is a developer who contributes across the lifecycle of an Azure AI solution. That includes requirements gathering, design, development, deployment, security, monitoring, and troubleshooting. You should be comfortable with Azure SDKs, data services, eventing, messaging, vector databases, Python, and containerized application patterns.

What AI-200 measures

The official study guide groups the exam into four areas. First, you need to develop containerized solutions on Azure. That includes Azure Container Registry, ACR Tasks, App Service containers, Azure Container Apps, KEDA scaling, and AKS deployments. Second, you need to develop AI solutions by using Azure data management services, including Cosmos DB for NoSQL, Azure Database for PostgreSQL, pgvector, and Azure Managed Redis.

The third area is connecting to and consuming Azure services. Expect Service Bus, Event Grid, and Azure Functions to matter here. The fourth area is secure, monitored, and troubleshootable solutions. That means Key Vault, App Configuration, OpenTelemetry, and KQL are not side topics. They are part of building production AI systems.

How long is AI-200?

Microsoft lists AI-200 as a 120-minute assessment. Microsoft also states that the number of questions on certification exams can change, and most Microsoft Certification exams typically contain 40 to 60 questions. Because AI-200 is a beta exam, the exact experience can shift as Microsoft gathers item-quality data.

The passing score is 700. Beta exams are not scored immediately, so candidates should be prepared for a delay before final results are available.

Who should take AI-200?

AI-200 is a good target if you build back-end services for AI apps on Azure. It is especially relevant if you work with containerized workloads, retrieval systems, event-driven processing, Azure data services, and operational telemetry. It is not a fundamentals exam. If your Azure experience is still mostly conceptual, spend time building small services before scheduling the exam.

Before you pay for the real attempt, use the AI-200 practice exam on ExamStudyApp. The practice bank is linked to AI-200 objectives, so you can see whether you are ready across containers, data services, service integration, and monitoring. Try the free questions first, then use the full practice exam to rehearse under exam-style pressure.