AI-500 study guide
AI-500 · Work through your exam, one topic at a time.
Exam AI-500: Designing and Implementing Multi-Agent AI Solutions is a Microsoft certification exam for expert-level practitioners who design, build, and optimize scalable, production-ready multi-agent AI systems and workflows, managing development from design through production. Candidates work closely with developers, machine learning engineers, platform engineers, data scientists, and business stakeholders to translate complex requirements into production-ready solutions. The exam is organized into four measured skill areas: architecting multi-agent solutions, developing them in Azure, evaluating/optimizing/monitoring them, and securing/governing/deploying them. Microsoft states that passing requires a score of 700 or greater, and the exam is currently offered in English with no announced retirement date. The AI-500 study guide has 4 sections and about 1,425 words.
01Architect multi-agent solutions
Architecture questions test whether you can decompose a business process into agents with clear responsibilities and choose the right coordination pattern before any code exists. Know the canonical topologies: orchestrator (supervisor) with specialist workers , sequential pipeline , hierarchical (orchestrator of orchestrators) , and peer/blackboard collaboration .
373 words, about 2 min02Develop multi-agent solutions in Azure
Development questions focus on how agents are actually wired in Azure AI Foundry and the Microsoft agent ecosystem. You must know the moving parts: agent definitions (model deployment, instructions, tools), tools (function calling, Azure AI Search, code interpreter, OpenAPI, Azure Functions, MCP-style connectors), threads/conversations for state, and orchestration code that routes between agents.
362 words, about 2 min03Evaluate, optimize, and monitor multi-agent solutions
This domain rewards candidates who can separate evaluation (offline, pre-release quality measurement) from monitoring (online production health). For evaluation, know the metric families: groundedness, relevance, coherence, fluency, retrieval quality, task success, and tool-call accuracy.
328 words, about 2 min04Secure, govern, and deploy multi-agent solutions
Security and governance questions test identity, least privilege, data protection, and lifecycle control . Know that each agent and each tool connection should have its own identity and scoped permissions - a shared broad credential across agents is a red flag.
362 words, about 2 min