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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Orchestrate multi-agent coordination | 15–20% | - Multi-agent workflows
|
| Topic 2: Evaluation, error analysis, and tuning | 15–20% | - Define evaluation criteria
|
| Topic 3: Manage memory, state, and execution | 10–15% | - Agent memory strategies
|
| Topic 4: Implement guardrails and accountability | 10–15% | - Autonomy and risk levels
|
| Topic 5: Prepare agent architecture and SDLC processes | 15–20% | - Observability and control
|
| Topic 6: Implement tool use and environment interaction | 20–25% | - Development environment integration
|
Microsoft GitHub Agentic AI Developer Sample Questions:
1. You have a GitHub Enterprise repository.
An agent opens pull requests to the main branch.
You need to ensure that changes to .github/workflows/* and /infra/* require approval from designated reviewers before merge.
What should you configure?
A) a branch protection rule and copilot-instructions.md
B) a ruleset and an agents.md file
C) a ruleset and a .copilotignore file
D) a branch protection rule and a CODEOWNERS file
2. Drag and Drop Question
You have a GitHub repository that uses a custom GitHub Copilot coding agent defined in the rollout-bot.agent.md file.
You need to update a workflow so that agent-profile changes can be rolled back by reverting a single commit and rerunning the workflow. The workflow must check out the exact commit being deployed and apply the agent profile from the repository at that commit.
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.
3. You are architecting an agentic AI system and need the agent's tool-calling behavior to be constrained so it can only call a specific allow-listed set of MCP tools, never arbitrary ones. What should you configure?
A) /usage
B) Repository ruleset
C) .copilotignore
D) Tool/server allow-list in the MCP client configuration
4. You want a reusable, shareable set of instructions that defines a specific persona/workflow (e.g.,
"security reviewer") that developers can invoke on demand in Copilot Chat, rather than instructions applied globally to every session. What should you create?
A) .copilotignore
B) copilot-instructions.md
C) agents.md
D) A prompt file (.prompt.md)
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) Use dependency caching to store trace.json and plan.md.
B) Store trace.json and plan.md on a network share and have later jobs retrieve them from the share.
C) Upload trace.json and plan.md as workflow artifacts in agent-run, and download the files inside the jobs.
D) Commit trace.json and plan.md back to the repository from agent-run.
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: Only visible for members | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: C |
