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Microsoft GH-600 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Manage memory, state, and execution | 10–15% | - Handle execution flow, retries, and interruptions - Choose memory types: short-term, long-term, external - Implement memory cleanup and expiration rules - Scope and persist agent state correctly |
| Orchestrate multi-agent coordination | 15–20% | - Define communication and handoff protocols - Monitor and troubleshoot multi-agent execution - Prevent conflicts and manage shared resources - Design workflows for multiple agents |
| Implement tool use and environment interaction | 20–25% | - Configure and extend GitHub Copilot agents - Implement tools, custom actions, and MCP servers - Connect agents to codebase, APIs, and external systems - Manage permissions and environment access |
| Prepare agent architecture and SDLC processes | 15–20% | - Design agent autonomy and decision boundaries - Define agent purpose, scope, and success criteria - Integrate agents into software development lifecycle - Plan agent deployment, monitoring, and maintenance |
| Perform evaluation, error analysis, and tuning | 15–20% | - Optimize prompts, tools, and behavior through iteration - Diagnose failures, hallucinations, and unexpected behavior - Test, validate, and compare agent results - Define metrics and quality standards for outputs |
| Implement guardrails and accountability | 10–15% | - Enforce least privilege and security boundaries - Ensure compliance, safety, and responsible use - Add validation, review, and approval gates - Log actions, decisions, and changes for audit |
Microsoft GitHub Agentic AI Developer Sample Questions:
1. 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.
You need to make changes to repo1 to support the planned changes for the agents.
What should you modify?
A) .vscode/mcp.json
B) .vscode/settings.json
C) <project>/.mcp/server.json
D) .github/agents/*.agent.md
2. You have a GitHub Enterprise organization that has Copilot memory enabled.
You create a new repository.
What are two ways that memories will be deleted from the repository? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A) automatically after 28 days
B) manually by repository members
C) when pull requests are merged
D) when the code that created the memory is deleted
E) when the repository is archived
3. You have a GitHub Enterprise Cloud Organization that uses a custom coding agent to run GitHub Actions workflows that create branches, open pull requests, and merge changes after required checks pass.
You need to log all agent-initiated actions and ensure that the logs are retained for two years.
What should you do?
A) Configure audit log streaming to Azure Event Hubs.
B) Configure audit log retention.
C) Enable Git events in the audit log.
D) Enable log forwarding.
4. An agent working through the Copilot coding agent in GitHub Actions needs additional build dependencies installed before it can run tests. Where should you define this setup?
A) agents.md
B) .copilotignore
C) copilot-instructions.md
D) copilot-setup-steps.yml
5. 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.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A,B | Question # 3 Answer: A | Question # 4 Answer: D | Question # 5 Answer: Only visible for members |





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