Microsoft GH-600 : GitHub Agentic AI Developer

  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Sep 12, 2026   Q&As: 111 Questions and Answers

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Microsoft GH-600 Exam Syllabus Topics:
SectionWeightObjectives
Topic 1: Manage memory, state, and execution10-15%- Manage context and memory
  • 1. Handle long-running execution
  • 2. Maintain agent state
- Control execution flow
  • 1. Monitor execution lifecycle
  • 2. Recover from interruptions and failures
Topic 2: Implement tool use and environment interaction20-25%- Manage execution environments
  • 1. Configure environments for agents
  • 2. Control access to resources and services
- Select and configure agent tools
  • 1. Identify required tools
  • 2. Configure tools and permissions
Topic 3: Prepare agent architecture and SDLC processes15-20%- Define boundaries between planning, reasoning, and action
  • 1. Separate planning from execution
  • 2. Configure structured plans
  • 3. Validate and approve plans before execution
- Configure observability and control
  • 1. Enable human intervention when required
  • 2. Generate inspectable artifacts
  • 3. Implement autonomy levels and guardrails
- Integrate agents into the software development lifecycle
  • 1. Identify steps for agents to perform
  • 2. Define inputs, outputs, and success criteria
  • 3. Identify and mitigate agent anti-patterns
Topic 4: Implement guardrails and accountability10-15%- Ensure accountability
  • 1. Track actions and decisions
  • 2. Establish human-in-the-loop processes
- Implement governance controls
  • 1. Apply security and compliance requirements
  • 2. Configure approval workflows
Topic 5: Orchestrate multi-agent coordination15-20%- Ensure safe collaboration
  • 1. Coordinate execution across agents
  • 2. Prevent conflicts and unsafe actions
- Coordinate multiple agents
  • 1. Design multi-agent workflows
  • 2. Manage communication and task delegation
Topic 6: Perform evaluation, error analysis, and tuning15-20%- Improve agent behavior
  • 1. Perform error analysis
  • 2. Tune prompts, tools, and configurations
- Evaluate agent performance
  • 1. Measure outcomes and quality
  • 2. Analyze scans, logs, and artifacts
Microsoft GitHub Agentic AI Developer Sample Questions:
Question #1

You need to configure agent1 to support the planned changes.
What should you do?

  • A. Add Use all available tools to the .github/copilot-instructions.md file.
  • B. In the agent configuration, replace line 05 with the following: tools: []
  • C. Add the mcp-servers property to the agent configuration.
  • D. Delete line 05 from the agent configuration.
  • E. Add Use all available tools to the instructions in the agent configuration.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

You have a GitHub Enterprise organization that uses GitHub Copilot.
You discover that GitHub Copilot Chat responses in Microsoft Visual Studio Code are influenced by earlier, unrelated troubleshooting prompts from the same conversation.
You need to ensure that the Copilot Chat conversation context is limited to information relevant to the current work item. The solution must minimize effort.
What should you do? To answer, select the appropriate options in the answer area.

Reveal Solution  Discussion  0

Correct Answer:

Question #3

You are about to start a complex refactoring task in the GitHub Copilot CLI.
Before Copilot makes any changes, you need to review and agree on the approach.
What should you do first?

  • A. From the Copilot CLI, run the /compact command.
  • B. Start the Copilot CLI and specify the --allow-all parameter.
  • C. Start the Copilot CLI and specify the --agent=Task parameter.
  • D. From the Copilot CLI, switch to plan mode.
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

You have a GitHub repository that uses GitHub Copilot Chat in Microsoft Visual Studio Code. Custom agents are stored in the repository under version control.
Your team uses a multi-agent workflow where a planner agent produces an implementation plan that is then handed off to an implementation agent to make changes.
Recent prompts cause the planner agent to start editing files and running commands before the plan is approved.
You need to configure the planner agent to meet the following requirements:
Use only read-only tools.
Hand off to the implementation agent only after the plan is approved.
How should you configure the agent? To answer, select the appropriate options in the answer area.

Reveal Solution  Discussion  0

Correct Answer:

Question #5

You have a repository that uses the GitHub Copilot coding agent and supports hooks stored under .github/hooks.
You need a Shell command to run automatically whenever an agent execution fails.
Which type of hook should you use?

  • A. agentStop
  • B. postToolUse
  • C. sessionEnd
  • D. errorOccurred
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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