Last Updated: Sep 12, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Manage memory, state, and execution | 10–15% | - State persistence and drift control
|
| Orchestrate multi-agent coordination | 15–20% | - Multi-agent workflows
|
| Evaluation, error analysis, and tuning | 15–20% | - Failure analysis
|
| Implement tool use and environment interaction | 20–25% | - Agent tool configuration
|
| Implement guardrails and accountability | 10–15% | - Autonomy and risk levels
|
| Prepare agent architecture and SDLC processes | 15–20% | - Planning vs execution boundaries
|
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.

You have a GitHub Enterprise Cloud repository that uses GitHub Actions for CI and requires pull requests for all changes.
You are planning a GitHub Actions workflow where a coding agent drafts implementation changes and tests from GitHub issues, and an automated review runs before human review.
You need the agent to draft changes from an assigned issue, open a pull request, and add an automated review to the pull request before requesting a human review.
What should you do? To answer, select the appropriate options in the answer area.

You need to resolve the scoping issue associated to agent1.
What should you do?
Explanation: Only visible for SurePassExams members. You can sign-up / login (it's free).
You have a GitHub Enterprise Cloud organization that uses the GitHub Copilot coding agent to resolve issues asynchronously.
When an issue is assigned to GitHub Copilot, the agent creates a draft pull request, but your team cannot always tell whether the agent is actively working, has completed its session, or is awaiting workflow approval.
Which execution context does each signal indicate? To answer, drag the appropriate context to the correct signals.

You have a GitHub repository that uses GitHub Actions to run an autonomous agent job. The job summarizes a pull request and posts the summary as a pull request comment.
Your company stores required configuration values, such as JOB_NAME and RUNNER, as organization-level configuration variables and exposes them in workflows by using the vars context.
You discover that the agent job runs on push events and creates comments that are NOT tied to a pull request.
You need to ensure that the agent job runs only when the workflow run is triggered by a pull request. The solution must keep the job name and runner selection configured by using variables.
What should you do in the workflow?
Explanation: Only visible for SurePassExams members. You can sign-up / login (it's free).
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