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| Section | Weight | Objectives |
|---|---|---|
| Evaluation, error analysis, and tuning | 15–20% | - Tuning agent behavior
|
| Prepare agent architecture and SDLC processes | 15–20% | - Observability and control
|
| Orchestrate multi-agent coordination | 15–20% | - Multi-agent workflows
|
| Manage memory, state, and execution | 10–15% | - State persistence and drift control
|
| Implement guardrails and accountability | 10–15% | - Autonomy and risk levels
|
| Implement tool use and environment interaction | 20–25% | - Safe execution and error handling
|
1. You want the Copilot coding agent to scan a large codebase and propose a full, human- reviewable step-by-step plan before writing any code. What should you do first?
A) Enable --allow-all
B) Run /compact
C) Configure an MCP server
D) Switch to plan mode
2. A pull request created by the Copilot coding agent needs to be automatically closed if it fails to pass required checks after three retry attempts, per your organization's governance policy. What should you configure?
A) .copilotignore
B) A repository ruleset with agent-specific merge conditions and CI enforcement
C) agents.md
D) /compact
3. You have a GitHub repository that contains an agent named Orchestrator.Orchestrator delegates work to the following specialized subagents:
- Planner reviews issues and creates a plan of action.
- Implementer writes code based on the plan of action.
- Reviewer reviews the code.
You create a new agent named Summarizer that produces a concise summary of the work performed by the other agents.
You need to ensure that Orchestrator can invoke Summarizer as part of its workflow.
What should you do?
A) In the YAML frontmatter of the Reviewer agent, add Summarizer to the agents list.
B) In the YAML frontmatter of the Orchestrator agent, add Summarizer to the tools list.
C) In the YAML frontmatter of the Reviewer agent, add a handoffs entry that points to the Summarizer agent.
D) In the YAML frontmatter of the Orchestrator agent, add Summarizer to the agents list.
4. Hotspot Question
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 of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
5. You are running the GitHub Copilot CLI and want the agent to execute file edits and shell commands without prompting for confirmation on each individual action, during a trusted throwaway sandbox session. Which flag/command should you use?
A) --allow-all
B) /context
C) --agent=Task
D) /compact
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: Only visible for members | Question # 5 Answer: A |
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