Microsoft GH-600 Valid Dumps - Developing in Agentic AI Systems

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Microsoft GH-600 Exam Syllabus Topics:

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

                                                                                                                                    Microsoft Developing in Agentic AI Systems Sample Questions:

                                                                                                                                    Question #1

                                                                                                                                    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. /compact
                                                                                                                                    • B. /clear
                                                                                                                                    • C. /usage
                                                                                                                                    • D. /reset-context
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: B  🗳️

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

                                                                                                                                    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. repo:<org>/<repo>
                                                                                                                                    • C. action:workflows.run
                                                                                                                                    • D. operation:remove
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

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

                                                                                                                                    Question #3

                                                                                                                                    While using agent mode in VS Code, you want Copilot to run a specific test suite as a validation step after making changes, without manually invoking the terminal each time. What feature enables this?

                                                                                                                                    • A. Tool/terminal invocation permissions in agent mode
                                                                                                                                    • B. CODEOWNERS
                                                                                                                                    • C. MCP server integration
                                                                                                                                    • D. .copilotignore
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: A  🗳️

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

                                                                                                                                    Question #4

                                                                                                                                    You are evaluating the logs of the multi-agent workflow in repo2.
                                                                                                                                    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 #5

                                                                                                                                    You have a GitHub repository that uses the GitHub Copilot coding agent to run agent plans for assigned issues.
                                                                                                                                    You discover that some issues contain ambiguous implementation steps.
                                                                                                                                    You need to reduce the likelihood that Copilot executes plans based on ambiguous implementation steps.
                                                                                                                                    What should you do?

                                                                                                                                    • A. Mention @copilot in a pull request comment to request changes after the plan runs.
                                                                                                                                    • B. Add a copilot-setup-steps.yml file to preinstall dependencies in the agent environment.
                                                                                                                                    • C. Add acceptance criteria and directions to the issues before assigning the issues to the agent.
                                                                                                                                    • D. Add comments to the issues after assigning the issues to the agent.
                                                                                                                                    Reveal Solution  Discussion  0

                                                                                                                                    Correct Answer: C  🗳️

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