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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Integrate tools, data, and services | 25% | - Connect data sources and knowledge bases
|
| Test, deploy, and monitor agentic AI systems | 20% | - Deploy and monitor agents at scale
|
| Design agentic AI solutions | 25% | - Design agent architecture
|
| Implement agents and multi-agent systems | 30% | - Orchestrate multi-agent collaboration
|
Microsoft Developing in Agentic AI Systems Sample Questions:
You need to troubleshoot the issue reported by Dev1.
What should you review?
- A. The GITHUB_TOKEN permissions block in the agent1 workflow.
- B. The GitHub Actions runner log for the session job.
- C. The agent session log in the Agents panel.
- D. The GitHub Actions usage metrics of repo1.
Correct Answer: C 🗳️
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You have a GitHub Copilot coding agent that has completed a pull request for a security fix in your repository.
Before merging, you need to evaluate the quality of the agent's work by using both automated evaluation signals and human review.
You review the session log and the pull request.
What are two automated security scanning signals available for the pull request? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. Linting errors from the repository's CI pipeline configured in GitHub Actions
- B. The median time to merge metric reported on the Copilot usage metrics dashboard
- C. CodeQL findings that identify security vulnerabilities in the generated code
- D. The detection of hardcoded secrets, such as API keys and tokens
- E. Dependency alerts that identify vulnerable package versions in the repository
Correct Answer: C,D 🗳️
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You have a GitHub repository that uses the GitHub Copilot coding agent to resolve issues and create draft pull requests. The repository uses GitHub Actions for CI, and reviewers rely on pull request timelines and workflow artifacts to understand what the agent did.
During long-running agent tasks, the reviewers lose track of decisions and validation steps, which causes repeated questions and reworks when context drifts between iterations.
You need to persist task progress and decisions as durable artifacts and ensure that the reviewers can verify what the agent did during and after execution by using GitHub as the system of record.
What should you do for each requirement? To answer, drag the appropriate actions to the correct requirements. Each action may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Requirement
Correct action
Create durable run outputs that are downloadable after completion
Use the upload-artifact action and configure artifact retention in the CI workflow.
Provide ongoing, human-reviewable task progress signals inside the pull request Watch for pull request body updates and pull request timeline events.
Provide a real-time view of agent actions for audit and troubleshooting Select View session to stream live agent logs.
The requirements distinguish three forms of evidence: retained outputs, reviewable progress, and live execution details. Each serves a different purpose during an extended agent task.
The upload-artifact action preserves files generated by the workflow, such as validation reports, implementation plans, and decision records. Configuring retention determines how long those files remain available after execution. The workflow must actually generate and upload the relevant records; artifact storage does not automatically capture every agent decision. GitHub documents artifacts as the mechanism for storing and sharing workflow-produced data. GitHub Actions-Store and share data .
Pull request body updates and timeline events provide progress information where reviewers already evaluate the proposed change. They associate the evolving work with the pull request and help reviewers follow iterations without reconstructing the entire session.
Selecting View session exposes detailed agent activity during execution, supporting immediate troubleshooting and inspection. Assigning an issue starts work, while approving workflows authorizes CI execution; neither substitutes for the required evidence mechanisms. GitHub-Troubleshoot Copilot cloud agent .
Study-guide topics: durable task state, execution observability, artifact retention, and traceable progress.
You want to prevent GitHub Copilot from ever suggesting completions or making edits inside a directory containing sensitive credentials templates. What should you configure?
- A. A CODEOWNERS file
- B. A .copilotignore file
- C. Branch protection rules
- D. A repository ruleset
Correct Answer: B 🗳️
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After App1 is upgraded to meet the technical requirements, you need to validate the output.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Statement
Answer
The .github/upgrades folder contains all the required reports.
Yes*
The tasks.md file contains all the changes and their implementation status.
Yes
The assessment.md file lists all the breaking changes and their implementation status.
No
*For the standard upgrade-generated reports, including their scenario subfolder.
GitHub Copilot upgrade stores its generated workflow state under .github/upgrades/{scenarioId}. This includes the assessment, plan, task tracking, and related scenario records. Consequently, the parent .github
/upgrades folder contains the standard upgrade reports through its scenario subdirectories. The PDF's marked
"No" for the first statement conflicts with that documented storage structure unless an additional, unstated reporting requirement applies.
The tasks.md file tracks execution progress. It identifies the upgrade tasks and records their implementation status as work proceeds. In this context, "all the changes" means the tracked upgrade tasks, rather than a complete line-by-line replacement for the Git diff.
The assessment has a different purpose. It describes the application's compatibility issues, breaking changes, dependencies, and upgrade scope. It is not the authoritative execution-status record. Identifying a breaking change in an assessment does not establish that its remediation has been implemented or validated.
These files collectively separate the original findings, planned response, and execution progress, making the upgrade reviewable across sessions.
Study-guide topics: durable workflow state, progress tracking, and generated artifacts. Reference: Microsoft Learn-GitHub Copilot upgrade state management .
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