Last Updated: Aug 08, 2026
No. of Questions: 85 Questions & Answers with Testing Engine
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| Section | Weight | Objectives |
|---|---|---|
| Implement tool use and environment interaction | 20–25% | - Configure and extend GitHub Copilot agents - Connect agents to codebase, APIs, and external systems - Manage permissions and environment access - Implement tools, custom actions, and MCP servers |
| Prepare agent architecture and SDLC processes | 15–20% | - Integrate agents into software development lifecycle - Design agent autonomy and decision boundaries - Plan agent deployment, monitoring, and maintenance - Define agent purpose, scope, and success criteria |
| Manage memory, state, and execution | 10–15% | - Implement memory cleanup and expiration rules - Handle execution flow, retries, and interruptions - Choose memory types: short-term, long-term, external - Scope and persist agent state correctly |
| Implement guardrails and accountability | 10–15% | - Log actions, decisions, and changes for audit - Enforce least privilege and security boundaries - Add validation, review, and approval gates - Ensure compliance, safety, and responsible use |
| Orchestrate multi-agent coordination | 15–20% | - Prevent conflicts and manage shared resources - Define communication and handoff protocols - Monitor and troubleshoot multi-agent execution - Design workflows for multiple agents |
| Perform evaluation, error analysis, and tuning | 15–20% | - Optimize prompts, tools, and behavior through iteration - Define metrics and quality standards for outputs - Diagnose failures, hallucinations, and unexpected behavior - Test, validate, and compare agent results |
1. You have a GitHub repository.
You use the GitHub Copilot CLI to run an agentic workflow from the terminal.
During execution, the conversation history approaches the context limit. The agent cannot continue the current session unless the amount of retained context is reduced.
You need to continue the current session without losing all the prior progress.
Which Copilot CLI slash command should you run?
A) /yolo
B) /clear
C) /compact
D) /context
2. You are analyzing the following agent logs.
You need to classify the error in a report for your company's CTO.
How should you classify the error?
A) Context Issue
B) Tool misuse
C) Network issue
D) Reasoning error
3. You have a GitHub Copilot coding agent named Orchestrator that runs a multi-phase workflow by using the following subagents:
- Explorer gathers context by using read-only tools.
- Modifier applies focused edits.
You are adding a new agent named Summarizer that generates a concise summary after modifications are complete. Summarizer includes the following YAML frontmatter.
The Orchestrator agent lists all three agents in its agents property.
After adding the Summarizer agent, Orchestrator successfully runs Explorer and Modifier but fails to run Summarizer.
What is a possible cause of the failure?
A) Orchestrator cannot call Summarizer because user-invocable is set to false.
B) Orchestrator is missing a handoff entry to trigger Summarizer.
C) Summarizer cannot be invoked as a subagent because disable-model-invocation is set to true.
D) Summarizer is missing the editing tools required to complete the workflow.
4. You have a GitHub Enterprise repository that uses the GitHub Copilot coding agent and opens draft pull requests for assigned issues.
Evaluation results show that the agent repeatedly opens pull requests that modify .github/workflows/*.yml to bypass failing checks instead of fixing the underlying code.
You need to ensure that the agent fixes the underlying code instead of bypassing the failing checks.
What should you do?
A) Update .github/copilot-instructions.md.
B) Start the GitHub Copilot CLI by using --allow-all.
C) Disable GitHub Actions workflows for pull requests created by the agent.
D) Create a branch ruleset.
5. You have a GitHub Enterprise Cloud Organization that uses GitHub Actions for CI/CD.
You plan to enable an agent to update and deploy workflows that access production environment secrets.
You need to select an autonomy level for a compliance-sensitive workflow.
Which autonomy level should you select?
A) read-only analysis with no ability to trigger workflows
B) autonomous execution limited to non-production environments
C) human-in-the-loop with required manual approvals for production
D) fully autonomous execution without approvals
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: C |
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