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| Section | Weight | Objectives |
|---|---|---|
| Prepare agent architecture and SDLC processes | 15-20% | - Configure observability and control
|
| Orchestrate multi-agent coordination | 15-20% | - Ensure safe collaboration
|
| Manage memory, state, and execution | 10-15% | - Manage context and memory
|
| Implement guardrails and accountability | 10-15% | - Implement governance controls
|
| Implement tool use and environment interaction | 20-25% | - Select and configure agent tools
|
| Perform evaluation, error analysis, and tuning | 15-20% | - Improve agent behavior
|
状況によってはあなたを助けたり破ったりすることができるこの運命的な試験について、当社はこれらのGH-600練習資料を説明責任を持って作成しました。 他の場所に受け入れられる可能性が高くなり、より高い給料や受け入れが得られることを理解しています。 GitHub Agentic AI Developerのトレーニング資料は当社の責任会社によって作成されているため、他の多くのメリットも得られます。 参考のために無料のデモを提供し、専門家が自由に作成できる場合は新しいアップデートをお送りします。 残念ながらGH-600試験準備を使用した後、試験に不合格になるという条件で、他のバージョンに切り替えるか、払い戻しの全額を差し戻します。 私たちが行うすべてと約束はあなたの視点にあります。
質問 # 40
Hotspot Question
You have a GitHub repository that uses GitHub Actions for CI.
Your team is piloting the GitHub Copilot coding agent to autonomously create branches and open pull requests. The repository follows trunk-based development that uses main as the default branch.
You need to ensure that the agent meets the following requirements:
- Changes to main can occur only by using pull requests that have at
least one approval.
- When a pull request is opened, a validation workflow runs, and the
agent can still create branches and open pull requests autonomously.
How should you configure the repository? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: Enabled
To meet the requirements, the Branch protection rule (main) - Require pull request before merging must be Enabled. This forces everyone-including GitHub Actions and AI agents-to create a branch and open a pull request first.
Box 2: on: pull_request
To allow your GitHub Copilot agent to autonomously open PRs while maintaining branch protection, you must trigger your validation workflow on the pull_request event.
Bypasses Protection: Agents cannot push directly to main due to your branch protection rule.
They must create a feature branch and open a PR.Triggers on Creation: The pull_request trigger fires automatically the moment the agent opens a PR.Runs in Isolation: It validates the merged result of the agent's branch and main before any actual code is merged.
Reference:
https://tutorialsdojo.com/github-copilot-coding-agent/
質問 # 41
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?
正解：B
解説：
To ensure that Orchestrator can invoke the new Summarizer agent as part of its workflow, you should take the following action: In the YAML frontmatter of the Orchestrator agent, add Summarizer to the agents list.
In GitHub Copilot custom agent configurations (defined in .agent.md files), the properties specified in the YAML frontmatter serve distinct purposes:
agents: This field acts as an explicit whitelist of other custom subagents that the parent agent is allowed to invoke and delegate work to. Adding Summarizer here registers it as an authorized subagent within the Orchestrator workflow.
Reference:
https://awesome-copilot.github.com/learning-hub/building-custom-agents/
質問 # 42
You have a GitHub Enterprise Cloud organization that uses the GitHub Copilot coding agent to resolve issues asynchronously.
When an issue is assigned to GitHub Copilot, the agent creates a draft pull request, but your team cannot always tell whether the agent is actively working, has completed its session, or is awaiting workflow approval.
Which execution context does each signal indicate? To answer, drag the appropriate context to the correct signals.
正解：
解説：
質問 # 43
You want to prevent GitHub Copilot from ever suggesting completions or making edits inside a directory containing sensitive credentials templates. What should you configure?
正解：B
解説：
A is the intended answer among the supplied choices, because the required control is a Copilot-specific content exclusion mechanism rather than Git authorization or branch governance. The important technical concept is excluding the sensitive directory from Copilot's usable context and suggestions.
Current GitHub documentation implements this through Copilot Content exclusion settings at repository, organization, or enterprise scope. Administrators can specify exact files, directory paths, and patterns to exclude. For excluded content, GitHub states that inline suggestions are unavailable in the affected files, excluded file content does not inform suggestions elsewhere, and the files are excluded from supported Copilot responses and code review.
Neither CODEOWNERS nor branch protection prevents Copilot from reading or generating suggestions for a particular directory. CODEOWNERS establishes reviewers/ownership, while branch protections and rulesets govern repository operations such as pushes, merges, and review requirements. Those mechanisms operate too late in the lifecycle to satisfy a requirement concerning Copilot's access to sensitive file content.
For exam purposes, therefore, A maps to the content-exclusion concept. In current GitHub administration, implement the control through Settings → Copilot → Content exclusion and specify the sensitive directory path.
Study Guide Reference Topics: Implement Guardrails and Accountability; sensitive-context exclusion; least exposure; repository security boundaries.
質問 # 44
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
Drag and Drop Question
You need to implement the security requirements for agent1.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
正解：
解説：
Explanation:
Scenario:
Security requirements, Litware identifies the following security requirements: Only the members of SG_Review must be able to approve agent1 plan outputs.
Agent environment: The product-api repository uses a GitHub Copilot coding agent named agent1 Step 1: In the product-api repositary settings,..
Create a new environment and add SG_review as the required reviewers.
Step 2: To the agent1 workflow,..
Create a new workflow related to the plan outoput.
Step 3: Add an execute job...
Create a job referencing the plan and the environment.
質問 # 45
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