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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement guardrails and accountability | 10–15% | - Add validation, review, and approval gates - Log actions, decisions, and changes for audit - Ensure compliance, safety, and responsible use - Enforce least privilege and security boundaries |
| Manage memory, state, and execution | 10–15% | - Scope and persist agent state correctly - Choose memory types: short-term, long-term, external - Implement memory cleanup and expiration rules - Handle execution flow, retries, and interruptions |
| Implement tool use and environment interaction | 20–25% | - Connect agents to codebase, APIs, and external systems - Implement tools, custom actions, and MCP servers - Manage permissions and environment access - Configure and extend GitHub Copilot agents |
| Perform evaluation, error analysis, and tuning | 15–20% | - Test, validate, and compare agent results - Define metrics and quality standards for outputs - Optimize prompts, tools, and behavior through iteration - Diagnose failures, hallucinations, and unexpected behavior |
| 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 |
| Prepare agent architecture and SDLC processes | 15–20% | - Define agent purpose, scope, and success criteria - Plan agent deployment, monitoring, and maintenance - Integrate agents into software development lifecycle - Design agent autonomy and decision boundaries |
Microsoft GitHub Agentic AI Developer Sample Questions:
1. You assigned an issue to the Copilot coding agent, and it opened a pull request. You want to inspect exactly what code changes were made before merging. Which CLI slash command lets you view the change set directly in the terminal?
A) /plan
B) /context
C) /compact
D) /diff
2. Case Study 1 - Contoso, Ltd
Overview
Contoso Ltd. is a software development company located in the United States.
Existing Environment
GitHub Environment
Contoso uses GitHub Enterprise and assigns GitHub Copilot Pro+ licenses to its developers. The developers use Microsoft Visual Studio Code as their IDE.
Contoso has a customer portal. The code for the portal is stored in a GitHub repository named repo1that contains the following:
- A custom agent named agent1 that includes instructions to review specs related to best practices
- A custom instruction file named validate-instructions.md that is used to validate tone of voice and applies to all .md and .txt files
- A custom instruction file named codereview.instructions.md that is used by the Copilot coding agent but is excluded for use by the Copilot code review repo1 has the following structure:
- The front-end is stored in the /frontend folder.
- The API logic is stored in the /api folder.
Contoso has a second repository named repo2 that contains a legacy .NET application named App1 built by using .NET 6. repo2 has a multi-agent workflow for modernization tasks.
Contoso enables the Model Context Protocol (MCP) registry and allows the Microsoft Learn MCP Server. Every developer must configure their own connection to the Learn MCP Server.
Problem Statements
The developers working in repo1 report that the Microsoft Learn documentation is NOT being retrieved when they attempt to validate a design by using agent1.
The testing team at Contoso identifies that the customer portal uses inconsistent UI styles, which leads to customer confusion and branding issues. The UI inconsistencies stem from variations in the folder structure.
Agent Logs
You have the following logs for the multi-agent workflow used in repo2.
Requirements
Planned Changes
Contoso plans to have all agents and developers in repo1use the Microsoft Learn MCP to ensure that reviews are validated by using the appropriate documentation. This must be implemented centrally.
Contoso plans to leverage AI-powered coding agents to implement new portal features and pages.
Technical Requirements
App1 must be upgraded to .NET 10. A previous upgrade attempt was started by using the Copilot modernization agent, but the attempt was never finalized.
You plan to retry the upgrade. You must first analyze App1 by using AI, and then generate a report that contains breaking changes and deprecated patterns before retrying the upgrade.
All AI-generated code for UI styling must adhere to a predefined folder structure.
The architects at Contoso need help building implementation plans for repo1. The company wants to implement a new agent named agent2 to analyze the code base and the code requirements, and then respond with a detailed plan. The agent must NOT be able to edit files or run local commands.
The developers must be able to delegate work to the Copilot coding agent by assigning issues to the agent.
Before App1 is upgraded, you need to verify each individual upgrade step and whether all tests have passed.
Which file should you use?
A) agent.md
B) plan.md
C) tasks.md
D) assessment.md
3. Drag and Drop Question
You have a GitHub repository that has a GitHub Actions workflow. The workflow runs an AI agent.
You need to ensure that the default GITHUB_TOKEN permissions are read-only, and write access is granted to only the job that performs repository write operations. The workflow must be able to create and approve pull requests only when explicitly enabled.
How should you complete the workflow? To answer, drag the appropriate values to the correct targets. Each value 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.
4. You have a repository on github.com that uses the GitHub Copilot coding agent.
You also use the GitHub Copilot CLI locally to reproduce failures and continue the same work from your terminal.
You need to verify the current token usage.
Which Copilot CLI slash command should you run?
A) /context
B) /compact
C) /diff
D) /usage
5. You want the GitHub Copilot coding agent to follow project-specific conventions (coding style, testing requirements, folder structure) on every task it performs in a repository. What should you create?
A) A agents.yml workflow file
B) A copilot-instructions.md file in .github/
C) A CODEOWNERS file
D) A .copilotignore file
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: D | Question # 3 Answer: Only visible for members | Question # 4 Answer: A | Question # 5 Answer: B |






