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| Section | Weight | Objectives |
|---|---|---|
| Perform evaluation, error analysis, and tuning | 15–20% | - Tune agent behavior based on evaluation results
|
| Manage memory, state, and execution | 10–15% | - Persist agent state and manage context drift
|
| Implement guardrails and accountability | 10–15% | - Implement guardrails and human-in-the-loop workflows
|
| Orchestrate multi-agent coordination | 15–20% | - Configure observability for multi-agent behavior by using logs, artifacts, and operational signals
|
| Prepare agent architecture and SDLC processes | 15–20% | - Integrate agents into the software development lifecycle (SDLC)
|
| Implement tool use and environment interaction | 20–25% | - Select and configure agent tools
|
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NEW QUESTION # 94
You have a GitHub repository.
Developers use the GitHub Copilot CLI and repository-scoped hooks under .github/hooks/*.json.
You need to allow the Copilot CLI to automatically run low-risk Bash commands. The solution must prevent the autonomous execution of high-risk commands, such as sudo, rm -rf, and curl ... | bash.
What should you do?
Answer: C
Explanation:
A preToolUse hook evaluates the proposed command before the shell tool executes it. The hook can inspect command arguments and return permissionDecision: "deny" when a pattern indicates a high-risk operation, while allowing low-risk commands to continue automatically.
This is the correct enforcement point because the requirement is preventive. A policy banner only informs the user or agent; it cannot block execution. Logging submitted prompts provides audit information but does not evaluate the actual shell command. Ignoring the hooks directory simply removes the repository-scoped enforcement mechanism.
The hook should use precise matching rules. For example, it can deny sudo, destructive recursive deletion, and piping untrusted remote content into a shell, while allowing commands such as git status, package metadata inspection, and test execution. Rules should avoid broad string matching that blocks harmless commands merely because they contain similar text.
Study-guide topics: pre-execution guardrails, shell-command approval, policy enforcement, and autonomous tool safety. Reference: GitHub Copilot-Hooks reference.
NEW QUESTION # 95
Your team wants Copilot's suggestions to reflect knowledge of internal library APIs that are not publicly documented and not present in the codebase being edited. What is the most appropriate solution?
Answer: B
Explanation:
An MCP server exposing the internal documentation is the appropriate solution because Model Context Protocol extends Copilot with information and capabilities located outside the repository's native context. GitHub describes MCP as a mechanism for integrating Copilot with external systems, enabling it to obtain context or invoke functionality that would otherwise be unavailable from the codebase alone.
This architecture is appropriate for proprietary library documentation because the internal API knowledge can remain centrally maintained rather than being duplicated into every repository. The MCP integration can expose a controlled documentation lookup/search capability, allowing Copilot to retrieve relevant definitions, usage patterns, or internal API information when required.
Option A is inferior because copilot-instructions.md is designed for concise repository-specific instructions and conventions, not as a substitute for a potentially large external documentation corpus. GitHub recommends it for persistent guidance such as building, testing, and repository conventions. Option C would remove context rather than add proprietary knowledge. Plan mode affects workflow sequencing and does not provide new external information.
Study Guide Reference Topics: Implement Tool Use and Environment Interaction; MCP-based context augmentation; external knowledge integration; tool-mediated retrieval.
NEW QUESTION # 96
You have a GitHub repository that uses the GitHub Copilot coding agent. The repository uses strict branch protections on the main branch.
You maintain a long-lived branch named release/1.4 that has different dependencies and CI checks.
You need the agent to create a hotfix that is implemented and validated against the release/1.4 branch. The solution must prevent the agent from basing its work on main.
What should you do?
Answer: B
Explanation:
Selecting release/1.4 as the base branch establishes the correct repository context before the agent begins its assignment. GitHub documents that Copilot creates its working branch from the selected base branch. This ensures that the initial code, dependency declarations, and branch-specific files correspond to the release being repaired.
That distinction matters because a hotfix developed against main may depend on APIs, package versions, or build behavior that do not exist in the maintained release. Choosing the release branch at task creation removes the need for the agent to infer or subsequently correct its starting point. The task should also require validation using the release's applicable checks.
Option A controls concurrency rather than branch selection. Option B governs review requirements for changes to main; it does not determine where the agent starts. Option C supplies a natural-language instruction but is less direct than configuring the actual base branch before execution.
The selected answer configures the execution environment through the platform's supported task controls.
Relevant curriculum topics are branch-based scope, execution-context selection, and environment-specific constraints.
Reference:
NEW QUESTION # 97
Hotspot Question
You have a GitHub repository that uses GitHub Copilot Chat in Microsoft Visual Studio Code.
Custom agents are stored in the repository under version control.
Your team uses a multi-agent workflow where a planner agent produces an implementation plan that is then handed off to an implementation agent to make changes.
Recent prompts cause the planner agent to start editing files and running commands before the plan is approved.
You need to configure the planner agent to meet the following requirements:
- Use only read-only tools.
- Hand off to the implementation agent only after the plan is approved.
How should you configure the agent? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: ['search','read','fetch']
This is the correct tool list configuration. It restricts the planner agent to strictly read-only capabilities, preventing it from editing code or executing state-changing commands before approval.
Box 2: true
Setting Send: true tells GitHub Copilot Chat to automatically transfer control and send the prompt payload to the implementer agent immediately upon user approval of the plan.
Reference:
https://medium.com/@gareth.hallberg_55290/porting-a-claude-code-command-to-vs-code-copilot-d114b338f3e0
NEW QUESTION # 98
Your organization requires that any workflow file changes proposed by an autonomous agent be reviewed by a member of the security team before merging, regardless of who opened the pull request. What combination should you configure?
Answer: C
Explanation:
A CODEOWNERS file designates the security team as required reviewers for the .github/workflows/* path, and a branch protection rule enforces that their approval is required before any pull request touching that path can merge.
NEW QUESTION # 99
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