☑ Microsoft Certification — Beta Exam
Beta Exam Notice:
This is a
beta exam. Beta exams are not scored immediately — Microsoft gathers data on question quality first.
The practice assessment is not currently available (usually available within 8 weeks of GA).
Learn more about the AI-200 beta exam →
Certification at a Glance
| Certification Name |
Microsoft Certified: Azure AI Cloud Developer Associate (beta) |
| Exam Code |
AI-200 |
| Level |
Intermediate |
| Role |
Developer |
| Subjects |
Application Development • Artificial Intelligence |
| Duration |
120 Minutes |
| Passing Score |
700 / 1000 |
| Language |
English |
| Exam Provider |
Pearson VUE (Online proctored) |
| Retake Policy |
24 hours after first attempt; subsequent retakes vary per Microsoft policy |
| Study Guide |
aka.ms/AI200-StudyGuide |
Overview
As a candidate for the AI-200 certification, you are responsible for contributing to all phases of implementing AI solutions on Azure,
with an emphasis on back-end services and components. You support the full development lifecycle including
requirements gathering, design, development, deployment, security, and monitoring.
You should be proficient in Azure SDKs and third-party SDKs, Azure data management services,
Azure monitoring and troubleshooting, Azure messaging and eventing, vector databases, Python programming,
and implementing containerized applications on Azure.
Required Proficiency (Prerequisites)
- Azure SDKs and third-party SDKs used in Azure
- Azure data management services
- Azure monitoring and troubleshooting
- Azure messaging and eventing
- Vector databases
- Python programming
- Implementing containerized applications on Azure
Azure Services & Technologies Covered
🤖 Azure OpenAI Service
🔍 Azure AI Search
💬 Azure AI Language
👁 Azure AI Vision
🎤 Azure AI Speech
📄 Azure Document Intelligence
🛡 Azure AI Content Safety
📦 Azure Container Apps
⎈ Azure Kubernetes Service
🐳 Azure Container Registry
🗃 Azure Cosmos DB
🗄 Azure SQL
📬 Azure Service Bus
⚡ Azure Event Hub
🔑 Azure Key Vault
📊 Azure Monitor & App Insights
💻 Python
Exam Skill Domains — AI-200
The following four skill domains are assessed on the AI-200 exam. Percentages indicate approximate weight of each domain.
Container Fundamentals & Images
- Create and manage container images using Docker
- Push images to Azure Container Registry (ACR)
- Manage ACR repositories, tags, and image lifecycle
- Implement multi-stage Docker builds for AI workloads
Deploy & Scale Containerized Solutions
- Deploy containerized AI applications to Azure Container Apps
- Configure scaling rules (HTTP-based, event-driven, CPU/memory)
- Implement Azure Kubernetes Service (AKS) workloads
- Manage ingress, environment variables, and secrets in containers
- Use Azure Container Instances (ACI) for lightweight deployments
Azure AI Services Integration
- Provision and configure Azure AI services (multi-service & single-service)
- Implement Azure OpenAI Service — chat completions, embeddings, DALL-E
- Use Azure AI Search as a vector database for semantic search & RAG patterns
- Integrate Azure Document Intelligence for form and document processing
- Implement Azure AI Language — NER, sentiment, summarization, translation
- Use Azure AI Vision — image analysis, OCR, face detection
- Implement Azure AI Speech — speech-to-text, text-to-speech
- Apply Azure AI Content Safety to filter harmful content
Data Management for AI
- Store and retrieve AI data using Azure Blob Storage
- Work with Azure Cosmos DB for unstructured/semi-structured AI data
- Use Azure SQL Database for structured AI solution data
- Implement vector indexing and similarity search in Azure AI Search
- Design data pipelines that feed Azure AI services
- Apply Retrieval-Augmented Generation (RAG) architecture patterns
Azure Messaging & Eventing
- Implement Azure Service Bus queues, topics, and subscriptions
- Process events with Azure Event Hub for AI data streaming
- Use Azure Event Grid for event-driven AI architectures
- Implement retry policies and dead-letter queues
API & SDK Integration
- Consume Azure AI services REST APIs and Azure SDKs (Python/.NET)
- Implement Azure API Management for AI service gateways
- Use Azure Functions to create serverless AI processing pipelines
- Authenticate to Azure services using managed identities and service principals
- Implement Azure Logic Apps for AI workflow automation
Security & Identity
- Implement authentication and authorization with Microsoft Entra ID
- Manage secrets, keys, and certificates using Azure Key Vault
- Configure role-based access control (RBAC) for Azure AI services
- Implement managed identities to eliminate credential management
- Apply network security: VNet integration, private endpoints, service endpoints
- Secure AI solutions with content filtering and responsible AI principles
Monitoring & Troubleshooting
- Configure Azure Monitor and Application Insights for AI solutions
- Set up alerts, dashboards, and log analytics queries (KQL)
- Implement distributed tracing across containerized AI services
- Monitor AI model performance, latency, and token usage
- Troubleshoot container deployment and scaling issues
- Use Azure Diagnostics and Activity Logs for audit and compliance
What You'll Achieve with This Certification
Container Expertise — Deploy and manage AI workloads using Azure Container Apps, AKS, and ACR
Azure AI Services Mastery — Build solutions with Azure OpenAI, AI Search, Language, Vision, Speech, and Document Intelligence
Data Management Skills — Integrate Cosmos DB, Azure SQL, vector databases, and RAG patterns in AI architectures
Integration & Eventing — Connect AI services via Service Bus, Event Hub, Azure Functions, and API Management
Security & Compliance — Apply Microsoft Entra ID, Key Vault, RBAC, managed identities, and responsible AI principles
Monitoring & Observability — Implement Application Insights, Azure Monitor, log analytics, and distributed tracing
Who Should Take the AI-200 Exam?
💻
Backend Developers
Building scalable AI-powered backend services on Azure
⎈
Cloud Engineers
Architects and engineers deploying containerized AI workloads
🤖
AI Practitioners
Professionals integrating Azure OpenAI, Cognitive Services, and AI Search
🧑💼
Solution Architects
Designing end-to-end AI solutions with secure, scalable Azure architectures
Exam Preparation Resources
Official Study Guide
Focus your studies with the official AI-200 study guide covering all exam skill domains.
View Study Guide
Exam Sandbox
Experience the look and feel of the exam before taking it via the Microsoft exam sandbox.
Try Sandbox
Schedule Exam
Register for the AI-200 exam through Pearson VUE. Available in English (online proctored).
Schedule Exam
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