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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement agents and multi-agent systems | 30% | - Orchestrate multi-agent collaboration
|
| Integrate tools, data, and services | 25% | - Incorporate external tools and APIs
|
| Design agentic AI solutions | 25% | - Design agent architecture
|
| Test, deploy, and monitor agentic AI systems | 20% | - Deploy and monitor agents at scale
|
Microsoft Developing in Agentic AI Systems Sample Questions:
You need to enable Copilot memory to support the planned changes.
What should you configure?
- A. The Copilot settings of each repository
- B. The agent profile of agent1
- C. The Copilot settings of the organization
- D. The personal Copilot settings of each developer
Correct Answer: C 🗳️
Explanation: Only visible for Braindumps2go members. You can sign-up / login (it's free).
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.
How should you configure the repository? To answer, select the appropriate options in the answer area.
Correct Answer:

You use the GitHub Copilot CLI in ephemeral dev containers.
You need to provide Copilot with reusable guidance for a specific task only. The guidance must be stored in the repository and invoked only when the task is relevant.
What should you do?
- A. Create a skill under .github/skills/<skill-name>/SKILL.md.
- B. Add personal custom instructions to the user's Copilot settings.
- C. Create a skill under .copilot/skills/<skill-name>/SKILL.md.
- D. Add repository-wide custom instructions to .github/copilot-instructions.md.
Correct Answer: A 🗳️
Explanation: Only visible for Braindumps2go members. You can sign-up / login (it's free).
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. Store trace.json and plan.md on a network share and have later jobs retrieve them from the share.
- B. Upload trace.json and plan.md as workflow artifacts in agent-run, and download the files inside the jobs.
- C. Commit trace.json and plan.md back to the repository from agent-run.
- D. Use dependency caching to store trace.json and plan.md.
Correct Answer: B 🗳️
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