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| Section | Weight | Objectives |
|---|---|---|
| Test, deploy, and monitor agentic AI systems | 20% | - Deploy and monitor agents at scale
|
| Integrate tools, data, and services | 25% | - Connect data sources and knowledge bases
|
| Design agentic AI solutions | 25% | - Define requirements for agentic systems
|
| Implement agents and multi-agent systems | 30% | - Build agents with Azure AI tools and frameworks
|
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NEW QUESTION # 105
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.
Answer:
Explanation:
Explanation:
Box 1: ['search','read','fetch']
This is the correct tool list configuration. It restricts the planner agent to strictly read-only capabilities, preventing it from editing code or executing state-changing commands before approval.
Box 2: true
Setting Send: true tells GitHub Copilot Chat to automatically transfer control and send the prompt payload to the implementer agent immediately upon user approval of the plan.
Reference:
https://medium.com/@gareth.hallberg_55290/porting-a-claude-code-command-to-vs-code-copilot-d114b338f3e0
NEW QUESTION # 106
You have a GitHub Copilot coding agent named CodeAgent. The .agent.md file of CodeAgent contains the following YAML frontmatter.
---
name: CodeAgent
description: Performs repository analysis and code review tasks.
tools: ['edit', 'execute', 'read', 'search']
---
You need to issue a GitHub Copilot CLI command that preserves execution velocity for read-only tasks by eliminating approval prompts for low-risk tools. The solution must ensure that high-risk tools that can make changes remain available but still require explicit user approval before running.
Which command should you run?
Answer: D
Explanation:
To configure your GitHub Copilot agent (CA) to run low-risk, read-only tools without approval prompts while keeping high-risk tools strictly gated, you need to use the gh copilot CLI configuration command to set specific tool permissions.
gh copilot config set-agent-policy CA --allow-without-approval read search --require-approval edit execute Preserves Velocity: Bypasses confirmation prompts for read and search so code analysis runs instantly.
Maintains Security: Explicitly forces a manual user prompt before edit (modifying code) or execute (running commands) can run.
Targets the Agent: Uses the --allow-without-approval and --require-approval flags specifically mapped to the CA agent name declared in your YAML frontmatter.
Reference:
https://vivekfordevsecopsciso.medium.com/github-copilot-remote-code-execution-via-prompt-injection-cve-2025-53773-38b4792e70fb
NEW QUESTION # 107
You need to implement the security requirements for agent1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
NEW QUESTION # 108
You have a GitHub Copilot coding agent named CodeAgent. The .agent.md file of CodeAgent contains the following YAML frontmatter.
name: CodeAgent
description: Performs repository analysis and code review tasks.
tools: ['edit', 'execute', 'read', 'search']
You need to issue a GitHub Copilot CLI command that preserves execution velocity for read-only tasks by eliminating approval prompts for low-risk tools. The solution must ensure that high-risk tools that can make changes remain available but still require explicit user approval before running.
Which command should you run?
Answer: C
Explanation:
Allowing only read and search removes approval friction for operations that inspect repository content without modifying it. The edit and execute tools remain available in the agent profile, but they continue to require explicit approval because they are not included in the command's approval bypass.
Using no option preserves the default approval behavior for all tools, including low-risk inspection tools, which does not meet the velocity requirement. Allowing all tools would remove the approval safeguard for file modifications and shell execution. Denying edit and execute prevents those tools from being used at all, rather than keeping them available under human control.
This design separates tool availability from automatic authorization. Read-only operations can proceed autonomously, while potentially impactful operations remain subject to a human decision at the point of use.
Study-guide topics: tool approval boundaries, least privilege, read-only execution, and controlled agent autonomy.
NEW QUESTION # 109
A developer uses the GitHub Copilot CLI in plan mode.
Copilot produces a plan.
What does Copilot do next?
Answer: D
Explanation:
In plan mode, after GitHub Copilot CLI analyzes your codebase and gathers requirements, it saves the plan to plan.md in your session folder.
What Happens Next?
1. Saves to plan.md: It writes the structured implementation plan with checkable tasks into a file called plan.md.
2. Waits for Approval: Copilot pauses and waits for your review. It will not begin implementation or make code modifications until you explicitly approve the strategy.
3. Execution: Once approved, you can hand the plan off to Copilot's agent/autopilot mode to begin the implementation.
Reference:
https://docs.github.com/en/copilot/how-tos/copilot-cli/cli-best-practices
NEW QUESTION # 110
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