Microsoft · AI-500
Observability, monitoring, and developer tools
AI-500 · Lesson 4 of 16 · 24:26
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In this lesson
Prepare for the AI-500 exam (Microsoft Certified: Multi-Agent AI Solutions Expert). In this lesson: OpenTelemetry and W3C trace context for cross-service trace correlation, structured logs of agent decisions, agent replay capture with mocked tools, monitoring of cross-agent coordination, behavioral drift, and quality regressions, automated remediation with runbooks, and the developer environment: dev containers, pinned dependencies, the Microsoft Foundry Toolkit for VS Code, the Azure Developer CLI, and AI instructions for coding agents. Includes three original practice questions.
Preview the topics
- A Contoso booking fails in production but succeeds in testing, and the team must reproduce it exactly, without touching real payments. What should the design include?
- Over three weeks, Contoso’s hotel agent slowly starts recommending pricier rooms, while no error or latency alert fires. Which monitoring component should catch this?
- New Contoso developers spend days installing matching Python, SDK, and CLI versions, and builds behave differently on each laptop and in the pipeline. What should the team add?