GH-300

Practice GH-300 Exam

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The dumps for GH-300 exam was last updated on Oct 30,2025 .

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Question#1

How does GitHub Copilot Enterprise assist in code reviews during the pull request process? (Select two.)

A. It automatically merges pull requests after an automated review.

B. It generates a prose summary and a bulleted list of key changes for pull requests.

C. It can validate the accuracy of the changes in the pull request.

D. It can answer questions about the changeset of the pull request.

Explanation:
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.
Reference: GitHub Copilot Enterprise pull request review documentation.

Question#2

What is the best way to share feedback about GitHub Copilot Chat when using it on GitHub Mobile?

A. The Settings menu in the GitHub Mobile app.

B. The feedback section on the GitHub website.

C. Use the emojis in the Copilot Chat interface.

D. By tweeting at GitHub's official X (previously known as Twitter) account.

Explanation:
The best way to share feedback on GitHub Mobile is using the emojis in the Copilot Chat interface,
which allows for direct and immediate feedback.
Reference: GitHub Copilot Mobile documentation.

Question#3

1.Which of the following describes role prompting?

A. Describing in your prompt what your role is to get a better suggestion

B. Tell GitHub Copilot in what tone of voice it should respond

C. Prompt GitHub Copilot to explain what was the role of a suggestion

D. Giving GitHub Copilot multiple examples of the form of the data you want to use

Explanation:
Role prompting involves explicitly stating your role or the persona you want GitHub Copilot to adopt within your prompt. This helps Copilot provide more contextually relevant and accurate suggestions. By defining your role (e.g., "As a senior software engineer," "As a technical writer"), you guide Copilot to tailor its responses to align with the expertise and perspective associated with that role. This improves the quality and relevance of the generated code and explanations.
Reference: GitHub Copilot documentation on prompt engineering and best practices.

Question#4

Which of the following is a risk associated with using AI?

A. AI algorithms are incapable of perpetuating existing biases.

B. AI systems can sometimes make decisions that are difficult to interpret.

C. AI eliminates the need for data privacy regulations.

D. AI replaces the need for developer opportunities in most fields.

Explanation:
A risk associated with AI is that its decisions can be difficult to interpret, leading to a lack of transparency and potential misunderstandings.
Reference: AI risk management documentation.

Question#5

In what way can GitHub Copilot and GitHub Copilot Chat aid developers in modernizing applications?

A. GitHub Copilot can directly convert legacy applications into cloud-native architectures.

B. GitHub Copilot can suggest modern programming patterns based on your code.

C. GitHub Copilot can create and deploy full-stack applications based on a single query.

D. GitHub Copilot can refactor applications to align with upcoming standards.

Explanation:
GitHub Copilot and GitHub Copilot Chat are powerful AI-driven tools designed to assist developers by providing context-aware code suggestions and interactive support. Specifically, in the context of modernizing applications, GitHub Copilot excels at analyzing existing code and suggesting modern programming patterns, best practices, and syntax improvements that align with contemporary development standards. For example, it can recommend updates to outdated constructs, propose more efficient algorithms, or suggest frameworks and libraries that are widely used in modern application development.
Why not A? GitHub Copilot does not "directly convert" legacy applications into cloud-native architectures. It can assist by suggesting code changes or patterns that support such a transition, but it doesn’t autonomously perform the full conversion process, which involves architectural decisions and deployment steps beyond its scope.
Why not C? While GitHub Copilot can generate code snippets and even larger portions of an application, it cannot create and deploy full-stack applications from a single query. It requires developer input, refinement, and integration to achieve a complete, deployable solution.
Why not D? GitHub Copilot can assist with refactoring by suggesting improvements to existing code, but it doesn’t inherently "align with upcoming standards" in a predictive sense. Its suggestions are based on current best practices and the data it was trained on, not future standards that are yet to be defined.
Thus, B is the most accurate and realistic way GitHub Copilot aids developers in modernizing applications, leveraging its ability to provide relevant, context-based suggestions to update and improve codebases.
Reference: GitHub Copilot documentation on application modernization.

Exam Code: GH-300 Q & A: 65 Q&As Updated: Oct 30,2025

Full GH-300 Exam Dumps Here

Exam Code: GH-300
Q & A: 65 Q&As
Updated: Oct 30,2025

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