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| Section | Weight | Objectives |
|---|---|---|
| Manage memory, state, and execution | 10–15% | - Ensure continuity of agent memory and state across tools and environments
|
| Prepare agent architecture and SDLC processes | 15–20% | - Define boundaries between planning, reasoning, and action
|
| Implement tool use and environment interaction | 20–25% | - Select and configure agent tools
|
| Perform evaluation, error analysis, and tuning | 15–20% | - Tune agent behavior based on evaluation results
|
| Orchestrate multi-agent coordination | 15–20% | - Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
|
| Implement guardrails and accountability | 10–15% | - Implement guardrails and human-in-the-loop workflows
|
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NEW QUESTION # 110
You have a GitHub repository that uses GitHub Actions to run an autonomous coding-agent workflow.
Your team requires that session logs be captured as workflow artifacts so that agent runs can be audited and traced back to a specific execution and code state.
How should you complete the workflow? To answer, drag the appropriate values to the correct targets.
Answer:
Explanation:
NEW QUESTION # 111
You have a GitHub Enterprise repository.
An agent opens pull requests to the main branch.
You need to ensure that changes to .github/workflows/* and /infra/* require approval from designated reviewers before merge.
What should you configure?
Answer: D
Explanation:
The correct solution combines a branch protection rule with a CODEOWNERS file. CODEOWNERS allows the repository to associate specific paths with designated users or teams. For example, entries can assign security or platform reviewers to .github/workflows/* and /infra/*. When a pull request modifies those paths, GitHub automatically identifies the corresponding code owners.
The enforcement mechanism comes from branch protection on main. Configure the protection rule to Require a pull request before merging and enable Require review from Code Owners. GitHub then blocks the merge until an applicable code owner approves the affected files. This converts CODEOWNERS from simple reviewer routing into an enforceable merge-control boundary.
agents.md and copilot-instructions.md provide behavioral guidance to AI agents; they do not enforce reviewer authorization. .copilotignore likewise does not establish mandatory merge approval. Although GitHub rulesets can also implement review controls, none of the ruleset choices provides the required CODEOWNERS pairing.
Study Guide Reference Topics: Implement Guardrails and Accountability; protected branches; required human review; CODEOWNERS; repository governance; approval gates.
NEW QUESTION # 112
While upgrading App1, the agent identifies 47 issues, including a security vulnerability, and 46 API incompatibilities across different projects.
Which two actions are unsafe to delegate to the agent and require human involvement? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: C,E
Explanation:
The intended distinction is between delegating analytical work and allowing the agent to provide the final approval of its own work. Approving all Git commits would remove independent review of changes that include security-sensitive remediation and compatibility modifications across multiple projects.
Human validation of assessment.md is similarly important because the assessment determines the scope and direction of the upgrade. Incorrectly classified dependencies, missed projects, or an incomplete vulnerability analysis can propagate into the implementation plan. Microsoft's guidance explicitly recommends reviewing the assessment for missing projects, problematic dependencies, and application-specific concerns before proceeding.
Generating the assessment and checking whether a task file exists are appropriate automated activities. An agent can also inspect the plan's dependency relationships and flag potential ordering problems. Such assistance does not transfer final accountability for accepting the plan.
The wording should not be interpreted as prohibiting automated assessment validation. Agents can run valuable consistency checks; the unsafe delegation is treating those checks as sufficient independent approval of their own conclusions.
Study-guide topics: human oversight, independent validation, and approval boundaries. Reference: Microsoft Learn-Best practices for GitHub Copilot upgrade.
NEW QUESTION # 113
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?
Answer: D
Explanation:
The gh agent-task view command supports inspecting an individual agent task. Combining --log with --follow selects session log output and continues following that output as the session progresses. The official CLI reference describes these flags as "Show agent session logs" and "Follow agent session logs," respectively.
This combination is appropriate when an agent appears stalled because a task-level status alone cannot explain what the agent is currently doing. Following the log allows the operator to observe additional activity, identify the last reported operation, and distinguish ongoing execution from a task awaiting intervention.
The list command is useful for discovering tasks and obtaining an overview of concurrent activity. It does not replace following the detailed output of the relevant session. The --jq parameter filters structured JSON output; it does not provide the continuous log-following behavior requested here. Opening a browser with a web option also fails the terminal streaming requirement.
Viewing logs is an observational action. It does not itself restart, cancel, or unblock the agent.
Study-guide topics: monitoring concurrent agents, execution visibility, and troubleshooting. Reference: GitHub CLI-gh agent-task view.
NEW QUESTION # 114
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.
Answer:
Explanation:
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/
NEW QUESTION # 115
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