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Microsoft GH-600 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prepare agent architecture and SDLC processes	15–20%	- Integrate agents into software development lifecycle - Plan agent deployment, monitoring, and maintenance - Define agent purpose, scope, and success criteria - Design agent autonomy and decision boundaries
Topic 2: Perform evaluation, error analysis, and tuning	15–20%	- Diagnose failures, hallucinations, and unexpected behavior - Define metrics and quality standards for outputs - Test, validate, and compare agent results - Optimize prompts, tools, and behavior through iteration
Topic 3: Implement tool use and environment interaction	20–25%	- Configure and extend GitHub Copilot agents - Manage permissions and environment access - Implement tools, custom actions, and MCP servers - Connect agents to codebase, APIs, and external systems
Topic 4: Implement guardrails and accountability	10–15%	- Add validation, review, and approval gates - Log actions, decisions, and changes for audit - Enforce least privilege and security boundaries - Ensure compliance, safety, and responsible use
Topic 5: Orchestrate multi-agent coordination	15–20%	- Prevent conflicts and manage shared resources - Design workflows for multiple agents - Define communication and handoff protocols - Monitor and troubleshoot multi-agent execution
Topic 6: Manage memory, state, and execution	10–15%	- Choose memory types: short-term, long-term, external - Scope and persist agent state correctly - Implement memory cleanup and expiration rules - Handle execution flow, retries, and interruptions

Microsoft GitHub Agentic AI Developer Sample Questions:

Question 1

Case Study 2
Existing Environment
GitHub Environment
The GitHub environment contains the following:
- Three repositories named product-api, billing-service, and infra-terraform.
- Branch protection on the main branch in all repositories that requires at least one pull request review before merging
- GitHub Actions runners used across all workflows
- A GitHub team named SG_Dev that contains developers
- A GitHub team named SG_Review that contains senior engineers and a security team
- A .github/copilot-instructions.md file that includes general coding conventions for all features Agent environment The product-api repository uses a GitHub Copilot coding agent named agent1 that has the following configurations:
- No custom agent profile is defined.
- A Model Context Protocol (MCP) server named MCP1 is deployed to
https://mcp.litwareinc.internal and provides access to internal ticketing and deployment APIs.
MCP1 requires an API key for authentication.
A second Copilot coding agent named agent2 handles changes in infra-terraform and runs in parallel with agent1 when both agents have open assigned issues.
Copilot memory is NOT enabled for the organization.
Problem Statements
Litware identifies the following issues:
- During two recent sessions, agent1 accessed files in billing-service, which is outside the agent's intended scope.
- agent1 makes code changes immediately after receiving a task.
- A developer named Ben, who is on the SG_Dev team, reports that agent1 completed a session with a successful status and opened a pull request, but the pull request contains no file changes.
Other developers report this intermittently as well.
- Both agent1 and agent2 modified shared/config.yaml in a parallel test run, generating conflicting outputs.
agent1 consistently uses raw try-catch blocks for error handling, which violates the defined implementation guidelines of SG_Dev.
Requirements
Planned Changes
Litware plans to make the following changes:
- Ensure that agent1 can access all the tools in the environment.
- Provide product-api with specific instructions to agent1 without affecting Copilot Chat or Copilot code review.
- Configure MCP1 as a tool for agent1 by modifying the product-api repository MCP configuration.
- Ensure that Copilot retains details that it has learned and uses that knowledge for future work.
This must be applied to all licensed members of the organization.
Implementation guidelines
The development team at Litware identifies the following implementation guidelines:
- Agent workflows must be able to run in parallel.
- Application error handling must use the repository ErrorHandler class.
- agent1 and agent2 must run on isolated branches during parallel execution. File-level conflicts must be detected before merges, and both agents must be able to run concurrently.
Security requirements
Litware identifies the following security requirements:
- Only the members of SG_Review must be able to approve agent1 plan outputs.
- All API keys must be stored and accessed securely.
- The developers must NOT be able to self-approve.
Agent configuration

You need to resolve the scoping issue associated to agent1.
What should you do?

A. To the profile of agent1, add a custom instruction specifying that the agent must NOT access billing-service or infra-terraform.
B. Create a ruleset for billing-service and infra-terraform that blocks push access from the github- actions bot account.
C. Create a fine-grained personal access token (PAT) scoped to product-api and store the PAT as a GitHub Actions secret for agent1 to use.
D. Add a permissions block to the agent1 workflow in product-api.

Question 2

You have a multi-agent GitHub Actions workflow that uploads review artifacts for each run.
You discover that some workflow run artifacts are being deleted manually.
You need to use your organization's audit log data to identify which user deleted the artifacts.
Which audit log search filter should you use?

A. action:artifact.destroy
B. operation:remove
C. repo:<org>/<repo>
D. action:workflows.run

Question 3

You want a reusable, shareable set of instructions that defines a specific persona/workflow (e.g.,
"security reviewer") that developers can invoke on demand in Copilot Chat, rather than instructions applied globally to every session. What should you create?

A. A prompt file (.prompt.md)
B. agents.md
C. copilot-instructions.md
D. .copilotignore

Question 4

Hotspot Question
Your company uses Microsoft Visual Studio Code and GitHub Copilot Chat.
You have a GitHub repository that uses main as the default branch. The repository contains a workspace custom agent stored at .github/agents/release-notes.agent.md.
A developer switches to a branch named branch1 where the agent file does NOT exist. In the same session, the developer switches to a user profile named profile1.profile1 contains a custom agent file named release-notes.agent.md that has user-invokable set to false.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Question 5

Hotspot Question
You have a GitHub Enterprise organization that uses GitHub Copilot.
You discover that GitHub Copilot Chat responses in Microsoft Visual Studio Code are influenced by earlier, unrelated troubleshooting prompts from the same conversation.
You need to ensure that the Copilot Chat conversation context is limited to information relevant to the current work item. The solution must minimize effort.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.