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Microsoft GH-600 Exam Syllabus Topics:

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

Microsoft GitHub Agentic AI Developer Sample Questions:

Question #1

You have a repository on github.com that uses the GitHub Copilot coding agent.
You also use the GitHub Copilot CLI locally to reproduce failures and continue the same work from your terminal.
You need to verify the current token usage.
Which Copilot CLI slash command should you run?

A. /diff
B. /usage
C. /compact
D. /context

Reveal Solution Discussion 0

Correct Answer: D 🗳️