Microsoft GitHub Agentic AI Developer : GH-600

  • Exam Code: GH-600
  • Exam Name: GitHub Agentic AI Developer
  • Updated: Aug 16, 2026
  • Q & A: 85 Questions and Answers

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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
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%- 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
Manage memory, state, and execution10-15%- Control execution flow
  • 1. Recover from interruptions and failures
  • 2. Monitor execution lifecycle
- Manage context and memory
  • 1. Maintain agent state
  • 2. Handle long-running execution
Prepare agent architecture and SDLC processes15-20%- Define boundaries between planning, reasoning, and action
  • 1. Validate and approve plans before execution
  • 2. Separate planning from execution
  • 3. Configure structured plans
- Configure observability and control
  • 1. Enable human intervention when required
  • 2. Implement autonomy levels and guardrails
  • 3. Generate inspectable artifacts
- 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
Perform evaluation, error analysis, and tuning15-20%- Evaluate agent performance
  • 1. Measure outcomes and quality
  • 2. Analyze scans, logs, and artifacts
- Improve agent behavior
  • 1. Perform error analysis
  • 2. Tune prompts, tools, and configurations
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. Identify required tools
  • 2. Configure tools and permissions

Microsoft GitHub Agentic AI Developer Sample Questions:

1. You have a private GitHub repository that has Copilot memory enabled.
Several developers who have write access to the repository make changes across multiple branches, including creating some pull requests that are later closed without merging.
Your team needs to understand how GitHub Copilot ensures that only task-relevant, up-to-date information influences code suggestions, even when older memories exist.
How does Copilot manage memories?

A) Copilot automatically blocks memory creation from pull requests that are closed without merging, to prevent outdated information from being stored.
B) Copilot stores memories per user, ensuring that only the developer who created a memory can trigger the memory in future sessions.
C) Copilot stores memories indefinitely until a repository administrator deletes them manually.
D) Copilot validates each memory's citations against the current branch before using the memory, and ignores the memory if the referenced code no longer exists.


2. Hotspot Question
You have a GitHub repository that uses GitHub Actions to validate pull requests opened by the GitHub Copilot coding agent. The workflow runs unit tests and a linter on pull request triggers, and Copilot opens draft pull requests on dedicated branches while iterating by using commits.
You discover that when multiple Copilot sessions push updates to the same pull request branch in quick succession, multiple workflow runs execute concurrently.
You need to enable parallel workflow executions across different pull request branches.
How should you configure workflow-level concurrency? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


3. You have a GitHub Enterprise Cloud Organization that uses the GitHub Copilot coding agent.
Copilot creates a draft pull request for an assigned issue, and the pull request timeline shows Copilot started work.
After 70 minutes, the agent session log stops updating, and the pull request body status stops changing.
You need to restart the agent so that it continues the task from the issue context and produces new commits to the existing draft pull request.
What should you do?

A) Wait for the agent to complete.
B) Merge the draft pull request and mention @copilot on the merged pull request.
C) Select Approve and run workflows in the pull request merge box.
D) Unassign the issue from Copilot, and then reassign the issue to Copilot.


4. Hotspot Question
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.
NOTE: Each correct selection is worth one point.


5. You have multiple GitHub Copilot coding agents that run tasks concurrently.
You live stream the session log output and see the following.

What is a possible cause of the error?

A) a GitHub app installation policy
B) a preToolUse hook
C) a Copilot firewall policy
D) a postToolUse hook


Solutions:

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

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