Microsoft GH-600 Exam : GitHub Agentic AI Developer

Microsoft GH-600 exam
  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Aug 17, 2026
  • Q & A: 85 Questions and Answers
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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Prepare agent architecture and SDLC processes15-20%- Integrate agents into the software development lifecycle
  • 1. Identify and mitigate agent anti-patterns
  • 2. Identify steps for agents to perform
  • 3. Define inputs, outputs, and success criteria
- Define boundaries between planning, reasoning, and action
  • 1. Validate and approve plans before execution
  • 2. Configure structured plans
  • 3. Separate planning from execution
- Configure observability and control
  • 1. Generate inspectable artifacts
  • 2. Enable human intervention when required
  • 3. Implement autonomy levels and guardrails
Perform evaluation, error analysis, and tuning15-20%- Improve agent behavior
  • 1. Tune prompts, tools, and configurations
  • 2. Perform error analysis
- Evaluate agent performance
  • 1. Analyze scans, logs, and artifacts
  • 2. Measure outcomes and quality
Implement guardrails and accountability10-15%- Implement governance controls
  • 1. Apply security and compliance requirements
  • 2. Configure approval workflows
- Ensure accountability
  • 1. Establish human-in-the-loop processes
  • 2. Track actions and decisions
Orchestrate multi-agent coordination15-20%- Coordinate multiple agents
  • 1. Design multi-agent workflows
  • 2. Manage communication and task delegation
- Ensure safe collaboration
  • 1. Prevent conflicts and unsafe actions
  • 2. Coordinate execution across agents
Implement tool use and environment interaction20-25%- Manage execution environments
  • 1. Control access to resources and services
  • 2. Configure environments for agents
- Select and configure agent tools
  • 1. Configure tools and permissions
  • 2. Identify required tools
Manage memory, state, and execution10-15%- Control execution flow
  • 1. Monitor execution lifecycle
  • 2. Recover from interruptions and failures
- Manage context and memory
  • 1. Maintain agent state
  • 2. Handle long-running execution

Microsoft GitHub Agentic AI Developer Sample Questions:

1. A designated top-level instructions file is used by some agentic tools to describe overall repository purpose, build/test commands, and conventions in a tool-agnostic way (usable across multiple AI coding agents, not just Copilot). What is this file commonly called?

A) copilot-setup-steps.yml
B) copilot-instructions.md
C) .copilotignore
D) agents.md


2. Drag and Drop Question
Your company uses GitHub Copilot Enterprise.
Developers use GitHub Copilot agent mode in Microsoft Visual Studio Code on their laptops and Copilot Chat on github.com when they are away from their laptops.
When switching between environments, the developers notice that agent workflows lose continuity because the tools available in Visual Studio Code are unavailable on github.com.
You need to ensure that the agent tools and state are available consistently across environments and can be used from any device without local setup.
What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements. Each action may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.


3. Drag and Drop Question
You have a GitHub repository that has a GitHub Actions workflow. The workflow runs an AI agent.
You need to ensure that the default GITHUB_TOKEN permissions are read-only, and write access is granted to only the job that performs repository write operations. The workflow must be able to create and approve pull requests only when explicitly enabled.
How should you complete the workflow? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.


4. You have a GitHub repository.
You use the GitHub Copilot CLI to run an agentic workflow from the terminal.
During execution, the conversation history approaches the context limit. The agent cannot continue the current session unless the amount of retained context is reduced.
You need to continue the current session without losing all the prior progress.
Which Copilot CLI slash command should you run?

A) /clear
B) /context
C) /compact
D) /yolo


5. A team assigns an issue to the GitHub Copilot coding agent by using the following one-line description: Fix the login bug.
Copilot creates a pull request, but the pull request is missing changes and has an incorrect scope.
How should you resolve the issue?

A) Allocate more resources to copilot-setup-steps.yml.
B) Update the Model Context Protocol (MCP) server rate limits.
C) Add a clear description of the problem to the issue.
D) Enable Copilot memory.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: Only visible for members
Question # 3
Answer: Only visible for members
Question # 4
Answer: C
Question # 5
Answer: C

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