- Exam Code: GH-600
- Exam Name: GitHub Agentic AI Developer
- Updated: Aug 13, 2026
- Q & A: 85 Questions and Answers
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| Section | Weight | Objectives |
|---|---|---|
| Implement tool use and environment interaction | 20–25% | - Development environment integration
|
| Implement guardrails and accountability | 10–15% | - Guardrails and human-in-the-loop
|
| Prepare agent architecture and SDLC processes | 15–20% | - Integrate agents into SDLC workflows
|
| Evaluation, error analysis, and tuning | 15–20% | - Define evaluation criteria
|
| Orchestrate multi-agent coordination | 15–20% | - Lifecycle management
|
| Manage memory, state, and execution | 10–15% | - State persistence and drift control
|
1. Hotspot Question
You have a GitHub repository that uses GitHub Actions for CI.
Your team is piloting the GitHub Copilot coding agent to autonomously create branches and open pull requests. The repository follows trunk-based development that uses main as the default branch.
You need to ensure that the agent meets the following requirements:
- Changes to main can occur only by using pull requests that have at
least one approval.
- When a pull request is opened, a validation workflow runs, and the
agent can still create branches and open pull requests autonomously.
How should you configure the repository? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
2. Drag and Drop Question
Your team uses a remote GitHub Model Context Protocol (MCP) server for workflows in the software development life cycle (SDLC).
You need to commit a workspace-scoped MCP configuration to ensure that GitHub Copilot can connect to the GitHub-hosted MCP endpoint and authenticate by using a GitHub personal access token (PAT).
How should you complete the mcp.json configuration file? 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.
3. You need finer control, selecting specific files and describing precise natural-language changes to apply, rather than letting the agent decide the full scope of changes. Which Copilot Chat mode should you use?
A) Plan mode
B) Edit mode
C) Ask mode
D) Agent mode
4. While using agent mode in VS Code, you want Copilot to run a specific test suite as a validation step after making changes, without manually invoking the terminal each time. What feature enables this?
A) Tool/terminal invocation permissions in agent mode
B) .copilotignore
C) MCP server integration
D) CODEOWNERS
5. You have multiple GitHub Copilot coding agents that run tasks concurrently.
You are monitoring the agents from the terminal by using the GitHub CLI.
An agent appears stalled.
You need to live stream the session log output.
What should you do?
A) Run gh agent-task view and specify the --log and --jq parameters.
B) Run gh agent-task view and specify the --log and --follow parameters.
C) Run gh agent-task list and specify the --status and --jq parameters.
D) Run gh agent-task list and specify the --web parameter.
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: Only visible for members | Question # 3 Answer: B | Question # 4 Answer: A | Question # 5 Answer: B |
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