Last Updated: Aug 08, 2026
No. of Questions: 85 Questions & Answers with Testing Engine
Download Limit: Unlimited
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| Section | Weight | Objectives |
|---|---|---|
| Implement guardrails and accountability | 10–15% | - Log actions, decisions, and changes for audit - Add validation, review, and approval gates - Enforce least privilege and security boundaries - Ensure compliance, safety, and responsible use |
| Prepare agent architecture and SDLC processes | 15–20% | - Integrate agents into software development lifecycle - Plan agent deployment, monitoring, and maintenance - Design agent autonomy and decision boundaries - Define agent purpose, scope, and success criteria |
| Perform evaluation, error analysis, and tuning | 15–20% | - Test, validate, and compare agent results - Optimize prompts, tools, and behavior through iteration - Define metrics and quality standards for outputs - Diagnose failures, hallucinations, and unexpected behavior |
| Implement tool use and environment interaction | 20–25% | - Implement tools, custom actions, and MCP servers - Connect agents to codebase, APIs, and external systems - Configure and extend GitHub Copilot agents - Manage permissions and environment access |
| Manage memory, state, and execution | 10–15% | - Handle execution flow, retries, and interruptions - Scope and persist agent state correctly - Implement memory cleanup and expiration rules - Choose memory types: short-term, long-term, external |
| Orchestrate multi-agent coordination | 15–20% | - Prevent conflicts and manage shared resources - Design workflows for multiple agents - Monitor and troubleshoot multi-agent execution - Define communication and handoff protocols |
1. During a Copilot CLI session, an MCP tool call fails because the external service requires re- authentication. What is the most likely resolution path?
A) Re-authenticate the MCP server connector
B) Run /compact to clear context
C) Switch to plan mode
D) Run /diff to inspect changes
2. You have multiple GitHub Copilot coding agents that run tasks concurrently.
You are monitoring the agents from the terminal by using the GitHub CLI.
An agent appears stalled.
You need to live stream the session log output.
What should you do?
A) Run gh agent-task list and specify the --status and --jq parameters.
B) Run gh agent-task list and specify the --web parameter.
C) Run gh agent-task view and specify the --log and --follow parameters.
D) Run gh agent-task view and specify the --log and --jq parameters.
3. 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) Configure an MCP server
C) Run /compact
D) Switch to plan mode
4. Your team wants Copilot's suggestions to reflect knowledge of internal library APIs that are not publicly documented and not present in the codebase being edited. What is the most appropriate solution?
A) Use .copilotignore to hide public APIs
B) Enable plan mode
C) Add the internal docs as copilot-instructions.md
D) Connect an MCP server that exposes the internal documentation
5. Hotspot Question
You have a GitHub repository that uses GitHub Copilot Chat in Microsoft Visual Studio Code.
Custom agents are stored in the repository under version control.
Your team uses a multi-agent workflow where a planner agent produces an implementation plan that is then handed off to an implementation agent to make changes.
Recent prompts cause the planner agent to start editing files and running commands before the plan is approved.
You need to configure the planner agent to meet the following requirements:
- Use only read-only tools.
- Hand off to the implementation agent only after the plan is approved.
How should you configure the agent? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: D | Question # 4 Answer: D | Question # 5 Answer: Only visible for members |
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