Microsoft GitHub Administrator GH-600 Braindumps

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Microsoft GH-600 Exam Syllabus Topics:

Microsoft Developing in Agentic AI Systems Sample Questions:

Question #1
You have a GitHub repository that uses the GitHub Copilot coding agent.
You need to complete the hooks configuration to meet the following requirements:
* Tool usage must be evaluated before execution.
* Build results must be logged after execution.
* Tool usage must be logged after execution.
How should you complete the hooks configuration? To answer, drag the appropriate values to the correct targets.

Question #2
You have a GitHub repository that uses the GitHub Copilot coding agent.
Developers need the Copilot coding agent to call an internal dependency-scanning API during its run. The API requires an access token.
You need to ensure that the Copilot coding agent can use the token during execution without accessing the repository's Actions secrets and variables. The solution must prevent exposing the token in plaintext.
What should you do?

A. Add the token as a secret in the Copilot environment.
B. Add the token as an Actions repository secret.
C. Store the token in the agent configuration file.
D. Store the token in a repository custom instructions file.

Question #3
You have a GitHub repository that runs an agentic software development lifecycle workflow by using GitHub Actions. The workflow uses the following three executors implemented as scripts: spec_analyzer, risk_reviewer, and plan_merger.
You need to coordinate multiple specialized agents so that analysis and risk review run in parallel and then a final executor merges the outputs into a single plan. The orchestration pattern must fan out one request to multiple executors and then fan in the results to a final executor.
How should you complete the workflow definition? To answer, drag the appropriate values to the correct targets.

Question #4
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?

A. copilot agent run CodeAgent --allow-all-tools
B. copilot agent run CodeAgent
C. copilot agent run CodeAgent --allow-tool ' read,search '
D. copilot agent run CodeAgent --deny-tool ' edit,execute '

Question #5
You have a GitHub Enterprise repository that runs an autonomous agent by using a GitHub Actions workflow. The workflow has the following jobs:
* agent-run that generates trace.json and plan.md
* review that waits for human approval before continuing
* deploy that uses the outputs from agent-run
You need to make the files inspectable in the GitHub Actions UI and ensure that the files are available to the review and deploy jobs.
What should you do in the workflow?

A. Commit trace.json and plan.md back to the repository from agent-run.
B. Upload trace.json and plan.md as workflow artifacts in agent-run, and download the files inside the jobs.
C. Store trace.json and plan.md on a network share and have later jobs retrieve them from the share.
D. Use dependency caching to store trace.json and plan.md.

Solutions: