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Microsoft GH-600 Exam Syllabus Topics:

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

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                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions (Q72-Q77):

                                                                                                                                    NEW QUESTION # 72
                                                                                                                                    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?

                                                                                                                                    Answer: C

                                                                                                                                    Explanation:
                                                                                                                                    The correct answer is the GITHUB_TOKEN permission configuration. GitHub uses the automatically generated GITHUB_TOKEN to authenticate workflow operations against the repository, and its authorization scope can be reduced through repository defaults and the workflow permissions key. Permissions can be set globally for a workflow or narrowed further at the individual job level. GitHub recommends granting only the minimum access necessary for the task.
                                                                                                                                    For example, a workflow that only needs repository content access and pull-request modification can explicitly grant appropriate contents and pull-requests permissions rather than broad write access. Importantly, once individual permissions are specified, unspecified permission categories are set to none, providing a concrete least-privilege security boundary. Repository or organization policy can also establish restrictive default GITHUB_TOKEN permissions.
                                                                                                                                    .copilotignore concerns which content Copilot should exclude, while copilot-instructions.md provides behavioral and coding guidance; neither is an authorization mechanism. /context reports information about the Copilot CLI context and does not control repository privileges.
                                                                                                                                    Study Guide Reference Topics: Implement Guardrails and Accountability; least-privilege authorization; tool and execution permissions; repository security boundaries; controlled agent access.


                                                                                                                                    NEW QUESTION # 73
                                                                                                                                    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.

                                                                                                                                    Answer:

                                                                                                                                    Explanation:

                                                                                                                                    Explanation:
                                                                                                                                    Box 1: Start a new chat.
                                                                                                                                    Clear the chat session or start a new conversation thread.
                                                                                                                                    Context Reset: Erases the short-term conversation history completely.
                                                                                                                                    Zero Overhead: Requires no configuration changes or administrative interventions.
                                                                                                                                    Fresh State: Forces Copilot to focus only on newly provided code and prompts.
                                                                                                                                    Box 2: Open related files and close unrelated files.
                                                                                                                                    To keep GitHub Copilot Chat focused on the current work item with the minimum amount of effort, you should open related files and close unrelated files.
                                                                                                                                    GitHub Copilot Chat automatically uses the open files and active tabs in your IDE as its immediate context. By closing unrelated files and keeping only relevant code files open, you instantly clean up the context window and force Copilot to focus solely on your current task without needing to modify complex settings.
                                                                                                                                    Reference:
                                                                                                                                    https://docs.github.com/en/copilot/how-tos/troubleshoot-copilot/troubleshoot-common-issues


                                                                                                                                    NEW QUESTION # 74
                                                                                                                                    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-invocable 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.

                                                                                                                                    Answer:

                                                                                                                                    Explanation:


                                                                                                                                    NEW QUESTION # 75
                                                                                                                                    You want the Copilot coding agent to scan a large codebase and propose a full, human- reviewable step-by-step plan before writing any code. What should you do first?

                                                                                                                                    Answer: A

                                                                                                                                    Explanation:
                                                                                                                                    Plan mode lets the agent operate in a read-only analysis state, producing a structured Markdown plan of intended changes. This allows you to catch architectural issues before the agent starts editing files.


                                                                                                                                    NEW QUESTION # 76
                                                                                                                                    You are debugging an agentic workflow that intermittently fails specific tool calls with rate-limit errors when connecting to an internal MCP server. What is the most direct remediation?

                                                                                                                                    Answer: C

                                                                                                                                    Explanation:
                                                                                                                                    Rate-limit errors from a tool call indicate the MCP server's quota configuration is being exceeded; adjusting the server's rate limits addresses the root cause, unlike context-management or permission commands.


                                                                                                                                    NEW QUESTION # 77
                                                                                                                                    ......

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