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Microsoft GH-600 Exam Syllabus Topics:

Microsoft GitHub Agentic AI Developer Sample Questions:

Question 1

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

Question 2

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

Question 3

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

Question 4

Hotspot Question
You have the following agent logs.

For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Question 5

You have a GitHub Enterprise repository that runs an autonomous agent by using a GitHub Actions workflow. The workflow has the following jobs:
- agent-run that generates trace.json and plan.md
- review that waits for human approval before continuing
- deploy that uses the outputs from agent-run
You need to make the files inspectable in the GitHub Actions UI and ensure that the files are available to the review and deploy jobs.
What should you do in the workflow?

A. Commit trace.json and plan.md back to the repository from agent-run.
B. Use dependency caching to store trace.json and plan.md.
C. Store trace.json and plan.md on a network share and have later jobs retrieve them from the share.
D. Upload trace.json and plan.md as workflow artifacts in agent-run, and download the files inside the jobs.

Solutions: