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| Section | Weight | Objectives |
|---|---|---|
| Test, deploy, and monitor agentic AI systems | 20% | - Deploy and monitor agents at scale
|
| Integrate tools, data, and services | 25% | - Connect data sources and knowledge bases
|
| Implement agents and multi-agent systems | 30% | - Build agents with Azure AI tools and frameworks
|
| Design agentic AI solutions | 25% | - Design agent architecture
|
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NEW QUESTION # 29
You have a GitHub Enterprise repository that uses the GitHub Copilot coding agent and opens draft pull requests for assigned issues.
Evaluation results show that the agent repeatedly opens pull requests that modify .github/workflows/*.yml to bypass failing checks instead of fixing the underlying code.
You need to ensure that the agent fixes the underlying code instead of bypassing the failing checks.
What should you do?
Answer: C
Explanation:
A properly configured branch ruleset establishes enforcement outside the agent's editable task instructions. It can require pull requests, successful checks, and appropriate reviews before changes enter protected branches.
In an enterprise setup, required workflows can also be governed centrally so that changing a repository-local workflow does not remove the organization's validation requirement.
The ruleset must be configured to preserve the intended checks. Merely creating an empty ruleset does not solve the problem, and requiring a check whose implementation the agent can freely weaken is insufficient.
Protecting workflow changes through required ownership review or centrally managed validation addresses that remaining gap. The agent should not receive bypass permission for these controls.
Option A increases authority rather than constraining the unwanted behavior. Option C removes the checks that are supposed to detect defective code. Option D affects treatment of untracked files and does not prevent changes to already tracked workflow definitions.
The control cannot guarantee successful reasoning, but it can prevent acceptance of a shortcut that defeats validation.
Relevant curriculum topics are blocking prohibited actions, enforcing independent controls, and correcting undesirable behavior identified through evaluation.
References: Available rules for rulesets , Enterprise required workflows .
NEW QUESTION # 30
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.
How should you configure the repository? To answer, select the appropriate options in the answer area.
Answer:
Explanation:
NEW QUESTION # 31
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: C
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 # 32
You use the GitHub Copilot CLI in a developer terminal.
You plan to use Copilot CLI programmatically to summarize recent commits.
You need to ensure that Copilot performs a low-risk, read-only action without granting Copilot broad write or execution capability.
Which Copilot CLI configuration should you use?
Answer: D
Explanation:
Option C is the intended answer because it grants a specific tool permission associated with Git rather than enabling every tool or allowing general file modification. The -p argument supplies the prompt programmatically, making the command suitable for a script that requests a summary of recent repository activity.
Option A grants unnecessarily broad tool access. Option B denies the Git capability needed to inspect commit history. Option D authorizes file-writing functionality, which is unrelated to producing a read-only summary.
The permission boundary nevertheless requires precise interpretation. Allowing Git is not inherently equivalent to enforcing read-only behavior: Git includes commands that modify files, repository state, and remote branches. A strict implementation should authorize only the required inspection commands, such as git log, using the permission-pattern syntax supported by the installed CLI version. The prompt should request summarization, but the prompt itself is not an access-control mechanism.
Therefore, C is the narrowest relevant selection among the supplied options, while command-specific restrictions are necessary to establish a genuinely read-only execution policy.
Relevant curriculum topics are selecting required tools, configuring tool permissions, and applying least privilege to agent execution.
Reference:
NEW QUESTION # 33
Your organization wants to ensure the Copilot coding agent cannot push directly to main, and all its changes must go through a pull request review process like any other contributor. What enforces this?
Answer: C
Explanation:
Branch protection rules apply uniformly regardless of whether the actor is a human or an agent; requiring pull requests and disallowing direct pushes to main ensures the coding agent's changes are always reviewed.
NEW QUESTION # 34
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