Microsoft GitHub Agentic AI Developer : GH-600 exam

Exam Code: GH-600
Exam Name: GitHub Agentic AI Developer
Updated: Jul 25, 2026
Q & A: 0 Questions and Answers

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Microsoft GH-600 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Implement guardrails and accountability	10–15%	- Autonomy and risk levels 1. Classify agent actions by risk 2. Assign autonomy levels with compliance constraints - Guardrails and human-in-the-loop 1. Enforce least-privilege execution 2. Require approvals for sensitive actions
Topic 2: Prepare agent architecture and SDLC processes	15–20%	- Observability and control 1. Define autonomy levels and guardrails 2. Enable human-in-the-loop controls 3. Produce inspectable artifacts in GitHub - Integrate agents into SDLC workflows 1. Define inputs, outputs, and success criteria 2. Define agent steps in SDLC 3. Identify and mitigate agent anti-patterns - Planning vs execution boundaries 1. Separate planning and execution phases 2. Prevent execution before approval 3. Validate structured agent plans
Topic 3: Evaluation, error analysis, and tuning	15–20%	- Define evaluation criteria 1. Generate automated evaluation signals 2. Define success metrics and constraints - Failure analysis 1. Classify reasoning, tool, and context errors 2. Analyze logs, traces, and artifacts - Tuning agent behavior 1. Optimize memory usage and constraints 2. Refine prompts, tools, and workflows
Topic 4: Manage memory, state, and execution	10–15%	- Cross-tool continuity 1. Prevent stale or conflicting context 2. Share state across tools and environments - Agent memory strategies 1. Memory scoping and expiration rules 2. Short-term vs long-term memory selection - State persistence and drift control 1. Detect and correct context drift 2. Persist task progress as artifacts
Topic 5: Implement tool use and environment interaction	20–25%	- Safe execution and error handling 1. Retries and rollback strategies 2. Escalation paths and traceability - Agent tool configuration 1. Configure tool permissions and scope 2. Select and configure tools - MCP server configuration 1. Add MCP servers to agents 2. Configure registries and allow lists - Development environment integration 1. Scope agents to repositories or branches 2. Enable CI-based agent execution 3. Enable autonomous actions (PRs, branches)
Topic 6: Orchestrate multi-agent coordination	15–20%	- Failure handling and recovery 1. Implement rollback and recovery patterns 2. Detect stalled or degraded agents - Observability and auditability 1. Document agent handoffs and decisions 2. Generate logs and artifacts for review - Lifecycle management 1. Add/replace/retire agents safely - Multi-agent workflows 1. Coordinate parallel agent execution 2. Resolve conflicts and overlaps

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