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Microsoft GH-600 Exam Syllabus Topics:

SectionWeightObjectives
Manage memory, state, and execution10–15%- Implement agent memory strategies
  • 1. Choose between short-term, long-term, and external memory
    • 2. Scope agent memory to task-relevant information
      • 3. Define memory expiration, pruning, and reset rules
        - Ensure continuity of agent memory and state across tools and environments
        • 1. Prevent stale context
          • 2. Share agent state
            • 3. Prevent conflicting context
              - Persist agent state and manage context drift
              • 1. Detect and correct drift during extended agent execution
                • 2. Resume agent work without repeating steps or diverging from prior decisions
                  • 3. Capture task progress and decisions as durable artifacts
                    Implement tool use and environment interaction20–25%- Configure MCP servers
                    • 1. Add an MCP server as a tool to an agent
                      • 2. Configure MCP allow lists
                        • 3. Configure MCP registries
                          • 4. Configure a GitHub remote MCP server
                            - Select and configure agent tools
                            • 1. Configure agent tools
                              • 2. Identify required tools
                                • 3. Configure agent tool permissions
                                  - Operate agents with safe execution paths and robust error handling
                                  • 1. Implement escalation paths
                                    • 2. Implement rollbacks
                                      • 3. Implement traceability and accountability for agent actions
                                        • 4. Implement retries
                                          • 5. Implement error handling
                                            - Integrate agents within development environments
                                            • 1. Configure an agent to handle environment-specific constraints
                                              • 2. Configure an agent's scope to a specific repository
                                                • 3. Evaluate the execution context for an agent
                                                  • 4. Configure an agent to be invoked in a CI workflow
                                                    • 5. Enable an agent to perform autonomous actions, including creating branches and pull requests
                                                      • 6. Configure an agent to use branch-based scope
                                                        Perform evaluation, error analysis, and tuning15–20%- Define success criteria and evaluation signals for agent tasks
                                                        • 1. Specify expected outcomes and operational constraints for agent tasks
                                                          • 2. Identify qualitative and quantitative evaluation signals to evaluate agents
                                                            • 3. Align evaluation criteria with development intent
                                                              • 4. Generate evaluation signals by using automated scanning tools
                                                                - Analyze agent failures and identify root causes
                                                                • 1. Identify failures by using logs, plans, traces, outputs, and workflow artifacts
                                                                  • 2. Classify root causes, including reasoning errors, tool misuse, and context or environment issues
                                                                    - Tune agent behavior based on evaluation results
                                                                    • 1. Refine memory usage
                                                                      • 2. Revise instructions, workflows, or constraints
                                                                        • 3. Refine tool usage and tool access
                                                                          Implement guardrails and accountability10–15%- Implement guardrails and human-in-the-loop workflows
                                                                          • 1. Identify the subset of actions that require human judgment
                                                                            • 2. Require explicit authorization or controlled paths for irreversible or compliance-sensitive changes
                                                                              • 3. Scope permissions and execution contexts to enforce least-privilege access
                                                                                • 4. Block actions that violate defined security, compliance, or Responsible AI policies
                                                                                  • 5. Preserve execution velocity by minimizing approvals that do not materially reduce risk
                                                                                    - Define autonomy levels
                                                                                    • 1. Assign autonomy levels to maximize delivery speed while remaining compliant with organizational security and Responsible AI standards
                                                                                      • 2. Classify agent actions by operational, security, and compliance risk to right-size human interventions
                                                                                        Orchestrate multi-agent coordination15–20%- Detect and respond to multi-agent failures and degraded behavior
                                                                                        • 1. Respond to degraded behavior or coordination across agents
                                                                                          • 2. Identify failed, partial, or stalled agent executions
                                                                                            • 3. Implement multi-agent recovery patterns, including rollback and human-in-the-loop
                                                                                              - Manage the lifecycle of agents within multi-agent workflows
                                                                                              • 1. Add agents to existing multi-agent workflows
                                                                                                • 2. Retire agents while preserving auditability and workflow continuity
                                                                                                  • 3. Update, reconfigure, or replace agents without disrupting active workflows
                                                                                                    - Operate and manage multi-agent workflows
                                                                                                    • 1. Detect and resolve agent conflicts, including overlapping code changes, duplicated effort, and contradictory outputs
                                                                                                      • 2. Configure agent isolation for parallel execution
                                                                                                        • 3. Apply an orchestration pattern to coordinate multiple agents
                                                                                                          - Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
                                                                                                          • 1. Document key decisions, handoffs, and outcomes across agents
                                                                                                            • 2. Configure multi-agent workflows to produce artifacts suitable for review and audit
                                                                                                              • 3. Perform post-hoc analysis of multi-agent behavior
                                                                                                                Prepare agent architecture and SDLC processes15–20%- Integrate agents into the software development lifecycle (SDLC)
                                                                                                                • 1. Identify steps for agents to perform
                                                                                                                  • 2. Define inputs, outputs, and success criteria for agents
                                                                                                                    • 3. Identify and mitigate common anti-patterns in agents
                                                                                                                      - Define boundaries between planning, reasoning, and action
                                                                                                                      • 1. Configure an agent to output a structured plan
                                                                                                                        • 2. Validate agent plans
                                                                                                                          • 3. Configure agent planning to be distinct from agent execution
                                                                                                                            • 4. Prevent agent action until the agent checks and approves
                                                                                                                              - Configure observability and control for autonomous agents
                                                                                                                              • 1. Plan and implement the degree of agent autonomy, including guardrails
                                                                                                                                • 2. Configure human intervention for autonomous agents without slowing delivery
                                                                                                                                  • 3. Configure agents to produce inspectable artifacts within standard development tooling

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1

                                                                                                                                    You have a GitHub repository that uses the following GitHub Copilot CLI command in a Bash script.
                                                                                                                                    #!/usr/bin/env bash
                                                                                                                                    set -euo pipefail
                                                                                                                                    PROMPT="Update dependencies, run tests, and open a pull request if changes are needed." copilot --autopilot --yolo --max-autopilot-continues 10 -p "$PROMPT" For each of the following statements, select Yes if the statement is true. Otherwise, select No.
                                                                                                                                    NOTE: Each correct selection is worth one point.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    Question #2

                                                                                                                                    You have a GitHub Actions workflow that starts multiple agent jobs in parallel.
                                                                                                                                    You need to prevent two runs in the same job from executing simultaneously on the same branch. The solution must ensure, at most, one running instance and one pending instance per branch.
                                                                                                                                    What should you add to the job?

                                                                                                                                    • A. jobs.<job_id>.strategy.matrix: [1]
                                                                                                                                    • B. jobs.<job_id>.concurrency.group: ci-${{ github.ref }}
                                                                                                                                    • C. jobs.<job_id>.concurrency.cancel-in-progress: ${{ !contains(github.ref, 'release/') }}
                                                                                                                                    • D. jobs.<job_id>.strategy.max-parallel: 1
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

                                                                                                                                    Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).

                                                                                                                                    Question #3

                                                                                                                                    You have multiple GitHub Copilot coding agents that run tasks concurrently.
                                                                                                                                    You are monitoring the agents from the terminal by using the GitHub CLI.
                                                                                                                                    An agent appears stalled.
                                                                                                                                    You need to live stream the session log output.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Run gh agent-task list and specify the --status and --jq parameters.
                                                                                                                                    • B. Run gh agent-task view and specify the --log and --jq parameters.
                                                                                                                                    • C. Run gh agent-task view and specify the --log and --follow parameters.
                                                                                                                                    • D. Run gh agent-task list and specify the --web parameter.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: C  🗳️

                                                                                                                                    Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).

                                                                                                                                    Question #4

                                                                                                                                    You have a GitHub repository that has a GitHub Actions workflow. The workflow runs an AI agent that deploys a containerized service.
                                                                                                                                    You need to update the workflow so that only one production deployment can run at a time, and any currently running production deployments are cancelled when a new run starts.
                                                                                                                                    How should you complete the workflow? To answer, drag the appropriate values to the correct targets.

                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer:

                                                                                                                                    Question #5

                                                                                                                                    You want to grant the Copilot coding agent access to only a narrowly scoped set of repository permissions (e.g., read code, write pull requests) rather than full admin access. What governs this scope?

                                                                                                                                    • A. copilot-instructions.md
                                                                                                                                    • B. The /context command
                                                                                                                                    • C. The agent's GITHUB_TOKEN permissions, configured per workflow/repo policy
                                                                                                                                    • D. .copilotignore
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: C  🗳️

                                                                                                                                    Explanation: Only visible for Pass4training members. You can sign-up / login (it's free).

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