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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement guardrails and accountability | 10-15% | - Define autonomy levels
|
| Implement tool use and environment interaction | 20-25% | - Operate agents with safe execution paths and robust error handling
|
| Manage memory, state, and execution | 10-15% | - Persist agent state and manage context drift
|
| Prepare agent architecture and SDLC processes | 15-20% | - Define boundaries between planning, reasoning, and action
|
| Orchestrate multi-agent coordination | 15-20% | - Detect and respond to multi-agent failures and degraded behavior
|
| Perform evaluation, error analysis, and tuning | 15-20% | - Tune agent behavior based on evaluation results
|
Microsoft Developing in Agentic AI Systems Sample Questions:
You have a GitHub repository that uses the GitHub Copilot coding agent to resolve issues and create draft pull requests. The repository has a ruleset named ruleset1 that enforces the following:
Signed commits
Branch protections that require status checks to pass before merge
The agent is blocked from operating in the repository because it fails to comply with the signed-commits rule.
You need to ensure that the agent can create and push changes to copilot/ branches. The solution must enforce the signed-commits rule for human developers on protected branches.
What should you do?
- A. Make Copilot an owner of the repository.
- B. Add Copilot as a bypass actor for ruleset1.
- C. Grant the Copilot coding agent permission to push directly to the copilot/ branches.
- D. Remove the Require signed commits rule from ruleset1.
Correct Answer: B 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
Your company uses GitHub Copilot custom agents in Microsoft Visual Studio Code.
The company also uses the Copilot coding agent on GitHub issues.
You have a file named .planner.agent.md that defines an agent named planner. planner has tools set to ['search', 'read', 'fetch']. There are explicit instructions NOT to write or modify any code. The file also defines a handoff labeled Start Implementation to an agent named implementer and sets send to false.
Developers report that after the planner agent produces a plan, implementation sometimes starts immediately in the same conversation and code changes appear without an explicit agent switch.
When Copilot-created pull requests stall, maintainers review the pull request timeline and session logs. Several stalled sessions show outbound network commands blocked by a firewall, and the repositories do NOT contain a .github/copilot-instructions.md file.
For each statement, select Yes or No.
Correct Answer:
You have a GitHub repository that uses the GitHub Copilot coding agent to resolve issues and create draft pull requests. The repository uses GitHub Actions for CI, and reviewers rely on pull request timelines and workflow artifacts to understand what the agent did.
During long-running agent tasks, the reviewers lose track of decisions and validation steps, which causes repeated questions and reworks when context drifts between iterations.
You need to persist task progress and decisions as durable artifacts and ensure that the reviewers can verify what the agent did during and after execution by using GitHub as the system of record.
What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements. Each action 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.
Correct Answer:
You have a GitHub Enterprise Cloud repository that uses the GitHub Copilot coding agent.
Engineers assign issues to Copilot, and Copilot creates draft pull requests. The engineers start tasks either by assigning issues on github.com or by using GitHub Copilot Chat in an IDE. Reviewers request updates by leaving pull request comments.
You discover that sometimes, Copilot uses outdated requirements after a reviewer posts an updated instruction in a pull request comment, and, in several cases, Copilot fails to resume work from the comment.
You need to ensure that iteration requests are applied to the correct pull request session and are processed consistently.
What should you do?
- A. Ensure that the agent has write access to the repository. Instruct the reviewer to unassign and reassign the original issue to Copilot.
- B. Start a new task from Copilot Chat in the IDE. Instruct the reviewer to mention @github in the task comments.
- C. Ensure that the reviewer has write access to the repository. Instruct the reviewer to mention @copilot in the pull request comments.
- D. Ensure that the agent has write access to the repository. Instruct the reviewer to mention @github in the task comments.
Correct Answer: C 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
You want to grant the Copilot coding agent access to only a narrowly scoped set of repository permissions (e.g., read code, write pull requests) rather than full admin access. What governs this scope?
- A. The agent's GITHUB_TOKEN permissions, configured per workflow/repo policy
- B. .copilotignore
- C. copilot-instructions.md
- D. The /context command
Correct Answer: A 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
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