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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Orchestrate multi-agent coordination15–20%- Failure handling and recovery
  • 1. Implement rollback and recovery patterns
    • 2. Detect stalled or degraded agents
      - Multi-agent workflows
      • 1. Resolve conflicts and overlaps
        • 2. Coordinate parallel agent execution
          - Lifecycle management
          • 1. Add/replace/retire agents safely
            - Observability and auditability
            • 1. Generate logs and artifacts for review
              • 2. Document agent handoffs and decisions
                Manage memory, state, and execution10–15%- Cross-tool continuity
                • 1. Prevent stale or conflicting context
                  • 2. Share state across tools and environments
                    - Agent memory strategies
                    • 1. Memory scoping and expiration rules
                      • 2. Short-term vs long-term memory selection
                        - State persistence and drift control
                        • 1. Detect and correct context drift
                          • 2. Persist task progress as artifacts
                            Implement guardrails and accountability10–15%- Guardrails and human-in-the-loop
                            • 1. Require approvals for sensitive actions
                              • 2. Enforce least-privilege execution
                                - Autonomy and risk levels
                                • 1. Assign autonomy levels with compliance constraints
                                  • 2. Classify agent actions by risk
                                    Evaluation, error analysis, and tuning15–20%- Define evaluation criteria
                                    • 1. Define success metrics and constraints
                                      • 2. Generate automated evaluation signals
                                        - Failure analysis
                                        • 1. Classify reasoning, tool, and context errors
                                          • 2. Analyze logs, traces, and artifacts
                                            - Tuning agent behavior
                                            • 1. Refine prompts, tools, and workflows
                                              • 2. Optimize memory usage and constraints
                                                Implement tool use and environment interaction20–25%- Development environment integration
                                                • 1. Scope agents to repositories or branches
                                                  • 2. Enable CI-based agent execution
                                                    • 3. Enable autonomous actions (PRs, branches)
                                                      - MCP server configuration
                                                      • 1. Configure registries and allow lists
                                                        • 2. Add MCP servers to agents
                                                          - Safe execution and error handling
                                                          • 1. Escalation paths and traceability
                                                            • 2. Retries and rollback strategies
                                                              - Agent tool configuration
                                                              • 1. Select and configure tools
                                                                • 2. Configure tool permissions and scope
                                                                  Prepare agent architecture and SDLC processes15–20%- Integrate agents into SDLC workflows
                                                                  • 1. Define inputs, outputs, and success criteria
                                                                    • 2. Identify and mitigate agent anti-patterns
                                                                      • 3. Define agent steps in SDLC
                                                                        - Planning vs execution boundaries
                                                                        • 1. Validate structured agent plans
                                                                          • 2. Separate planning and execution phases
                                                                            • 3. Prevent execution before approval
                                                                              - Observability and control
                                                                              • 1. Enable human-in-the-loop controls
                                                                                • 2. Define autonomy levels and guardrails
                                                                                  • 3. Produce inspectable artifacts in GitHub

                                                                                    Microsoft GitHub Agentic AI Developer Sample Questions:

                                                                                    1. You are analyzing the following agent logs.

                                                                                    You need to classify the error in a report for your company's CTO.
                                                                                    How should you classify the error?

                                                                                    A) Network issue
                                                                                    B) Tool misuse
                                                                                    C) Context Issue
                                                                                    D) Reasoning error


                                                                                    2. You have a GitHub repository that contains an agent named Orchestrator.Orchestrator delegates work to the following specialized subagents:
                                                                                    - Planner reviews issues and creates a plan of action.
                                                                                    - Implementer writes code based on the plan of action.
                                                                                    - Reviewer reviews the code.
                                                                                    You create a new agent named Summarizer that produces a concise summary of the work performed by the other agents.
                                                                                    You need to ensure that Orchestrator can invoke Summarizer as part of its workflow.
                                                                                    What should you do?

                                                                                    A) In the YAML frontmatter of the Orchestrator agent, add Summarizer to the agents list.
                                                                                    B) In the YAML frontmatter of the Reviewer agent, add Summarizer to the agents list.
                                                                                    C) In the YAML frontmatter of the Reviewer agent, add a handoffs entry that points to the Summarizer agent.
                                                                                    D) In the YAML frontmatter of the Orchestrator agent, add Summarizer to the tools list.


                                                                                    3. 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

                                                                                    Hotspot Question
                                                                                    You are evaluating how agent1 will behave after you implement the planned changes.
                                                                                    For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                                                                    NOTE: Each correct selection is worth one point.


                                                                                    4. Your team wants Copilot's suggestions to reflect knowledge of internal library APIs that are not publicly documented and not present in the codebase being edited. What is the most appropriate solution?

                                                                                    A) Use .copilotignore to hide public APIs
                                                                                    B) Enable plan mode
                                                                                    C) Connect an MCP server that exposes the internal documentation
                                                                                    D) Add the internal docs as copilot-instructions.md


                                                                                    5. You have a GitHub Enterprise repository that runs an autonomous agent by using a GitHub Actions workflow. The workflow has the following jobs:
                                                                                    - agent-run that generates trace.json and plan.md
                                                                                    - review that waits for human approval before continuing
                                                                                    - deploy that uses the outputs from agent-run
                                                                                    You need to make the files inspectable in the GitHub Actions UI and ensure that the files are available to the review and deploy jobs.
                                                                                    What should you do in the workflow?

                                                                                    A) Use dependency caching to store trace.json and plan.md.
                                                                                    B) Upload trace.json and plan.md as workflow artifacts in agent-run, and download the files inside the jobs.
                                                                                    C) Commit trace.json and plan.md back to the repository from agent-run.
                                                                                    D) Store trace.json and plan.md on a network share and have later jobs retrieve them from the share.


                                                                                    Solutions:

                                                                                    Question # 1
                                                                                    Answer: B
                                                                                    Question # 2
                                                                                    Answer: A
                                                                                    Question # 3
                                                                                    Answer: Only visible for members
                                                                                    Question # 4
                                                                                    Answer: C
                                                                                    Question # 5
                                                                                    Answer: B

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