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Microsoft GH-600 Exam Overview:
| Certification Vendor: | Microsoft / GitHub |
| Exam Name: | Exam GH-600: Developing in Agentic AI Systems |
| Exam Number: | GH-600 |
| Real Exam Qty: | 40–60 |
| Exam Price: | USD 165 |
| Available Languages: | English, Japanese, Chinese (Simplified), German, French, Spanish, Portuguese (Brazil) |
| Certificate Validity Period: | 2 years |
| Passing Score: | 700 |
| Exam Duration: | 120 minutes |
| Exam Format: | Multiple choice, Scenario-based, Interactive items, Performance-based tasks |
| Recommended Training: | GitHub Copilot and Agentic AI Documentation Microsoft Learn - GH-600 Learning Path |
| Exam Registration: | Microsoft Learn - Schedule Exam Pearson VUE Registration |
| Exam Way: | Online proctored or onsite at test centers |
| Pre Condition: | No required prerequisites; recommended experience with GitHub, Copilot, SDLC, and coding practices |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/gh-600 |
Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Prepare agent architecture and SDLC processes | 15–20% | - Define agent purpose, scope, and success criteria - Design agent autonomy and decision boundaries - Plan agent deployment, monitoring, and maintenance - Integrate agents into software development lifecycle |
| Implement guardrails and accountability | 10–15% | - Add validation, review, and approval gates - Log actions, decisions, and changes for audit - Enforce least privilege and security boundaries - Ensure compliance, safety, and responsible use |
| Implement tool use and environment interaction | 20–25% | - Configure and extend GitHub Copilot agents - Connect agents to codebase, APIs, and external systems - Implement tools, custom actions, and MCP servers - Manage permissions and environment access |
| Manage memory, state, and execution | 10–15% | - Choose memory types: short-term, long-term, external - Scope and persist agent state correctly - Implement memory cleanup and expiration rules - Handle execution flow, retries, and interruptions |
| Orchestrate multi-agent coordination | 15–20% | - Prevent conflicts and manage shared resources - Design workflows for multiple agents - Define communication and handoff protocols - Monitor and troubleshoot multi-agent execution |
| Perform evaluation, error analysis, and tuning | 15–20% | - Diagnose failures, hallucinations, and unexpected behavior - Define metrics and quality standards for outputs - Test, validate, and compare agent results - Optimize prompts, tools, and behavior through iteration |
By Bishop
