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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Implement tool use and environment interaction20-25%- Select and configure agent tools
  • 1. Configure tools and permissions
  • 2. Identify required tools
- Manage execution environments
  • 1. Configure environments for agents
  • 2. Control access to resources and services
Prepare agent architecture and SDLC processes15-20%- Define boundaries between planning, reasoning, and action
  • 1. Validate and approve plans before execution
  • 2. Configure structured plans
  • 3. Separate planning from execution
- Integrate agents into the software development lifecycle
  • 1. Define inputs, outputs, and success criteria
  • 2. Identify steps for agents to perform
  • 3. Identify and mitigate agent anti-patterns
- Configure observability and control
  • 1. Implement autonomy levels and guardrails
  • 2. Generate inspectable artifacts
  • 3. Enable human intervention when required
Orchestrate multi-agent coordination15-20%- Coordinate multiple agents
  • 1. Manage communication and task delegation
  • 2. Design multi-agent workflows
- Ensure safe collaboration
  • 1. Prevent conflicts and unsafe actions
  • 2. Coordinate execution across agents
Implement guardrails and accountability10-15%- Ensure accountability
  • 1. Track actions and decisions
  • 2. Establish human-in-the-loop processes
- Implement governance controls
  • 1. Configure approval workflows
  • 2. Apply security and compliance requirements
Perform evaluation, error analysis, and tuning15-20%- Evaluate agent performance
  • 1. Measure outcomes and quality
  • 2. Analyze scans, logs, and artifacts
- Improve agent behavior
  • 1. Tune prompts, tools, and configurations
  • 2. Perform error analysis
Manage memory, state, and execution10-15%- Control execution flow
  • 1. Monitor execution lifecycle
  • 2. Recover from interruptions and failures
- Manage context and memory
  • 1. Handle long-running execution
  • 2. Maintain agent state

Microsoft GitHub Agentic AI Developer Sample Questions:

1. You have a GitHub repository that uses GitHub Copilot code review on pull requests.
You plan to add repository-wide code review guidance that will apply to all files.
You need Copilot code review to consistently apply the guidance during pull request reviews.
What should you do?

A) Modify the .github/pull_request_template.md file.
B) Create a .github/copilot-instructions.md file.
C) Update the instructions in the .github/agents/*.agent.md files.
D) Create a .github/instructions/copilot.instructions.md file.


2. A developer uses the GitHub Copilot CLI in plan mode.
Copilot produces a plan.
What does Copilot do next?

A) saves the plan to plan.md
B) creates a branch named /copilot/plan in the repository
C) opens a pull request that has the plan as a comment
D) begins the implementation


3. You are troubleshooting why a Copilot coding agent pull request keeps failing CI checks after every attempted fix. What is the most effective first step?

A) Add clear, reproducible steps and expected behavior to the issue
B) Enable Copilot memory
C) Increase MCP server rate limits
D) Switch the agent to --allow-all mode


4. An agentic coding session in the terminal has grown too long, and you want to discard all prior conversation history and start clean, without summarization. Which slash command should you run?

A) /clear
B) /usage
C) /reset-context
D) /compact


5. 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 configure agent1 to support the planned changes.
What should you do?

A) Add the mcp-servers property to the agent configuration.
B) Delete line 05 from the agent configuration.
C) Add Use all available tools to the instructions in the agent configuration.
D) In the agent configuration, replace line 05 with the following.05 tools: [].
E) Add Use all available tools to the .github/copilot-instructions.md file.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: A
Question # 3
Answer: A
Question # 4
Answer: A
Question # 5
Answer: B

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