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Pass Guaranteed 2025 GitHub-Copilot: Unparalleled Reliable GitHub CopilotCertification Exam Exam Cram

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GitHub CopilotCertification Exam Sample Questions (Q62-Q67):

NEW QUESTION # 62
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)

A. By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."
B. By running the gh copilot fix command.
C. By using the "/fix" command in GitHub Copilot in-line chat.
D. By adding comments to your code and triggering a suggestion.
E. By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."

Answer: A,D

Explanation:
You can use GitHub Copilot for inline refactoring suggestions by adding comments to your code to trigger suggestions and by highlighting the code and selecting "Refactor using GitHub Copilot" from the context menu.

NEW QUESTION # 63
What is zero-shot prompting?

A. Giving GitHub Copilot examples of the algorithm and outcome you want to use
B. Telling GitHub Copilot it needs to show only the correct answer
C. Giving GitHub Copilot examples of the problem you want to solve
D. Giving as little context to GitHub Copilot as possible
E. Only giving GitHub Copilot a question as a prompt and no examples

Answer: E

Explanation:
Zero-shot prompting involves asking GitHub Copilot a question or giving a task without providing any examples. This relies on the model's pre-existing knowledge to generate a response.

NEW QUESTION # 64
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?

A. Suggest code snippets that reflect the most common practices in the training data.
B. Suggest completely novel projects, while reducing time on a project.
C. Suggest homogeneous solutions if provided a diverse data set.
D. Suggest innovative coding solutions that are not yet popular.

Answer: A

Explanation:
GitHub Copilot is likely to suggest code snippets that reflect common practices in its training data, as it learns from frequently used patterns.

NEW QUESTION # 65
How does GitHub Copilot suggest code optimizations for improved performance?

A. By providing detailed reports on the performance of the codebase.
B. By analyzing the codebase and suggesting more efficient algorithms or data structures.
C. By enforcing strict coding standards that ensure optimal performance.
D. By automatically rewriting the codebase to use more efficient code.

Answer: B

Explanation:
GitHub Copilot suggests code optimizations by analyzing the codebase and recommending more efficient algorithms or data structures.

NEW QUESTION # 66
How can GitHub Copilot facilitate a smoother learning experience when diving into a new programming language? (Each correct answer presents part of the solution. Choose two.)

A. GitHub Copilot Chat can provide guidance and support for common coding tasks and challenges in the targeted programming language.
B. GitHub Copilot can convert comments into code to grasp the syntax and nuances of a new programming language.
C. GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.
D. GitHub Copilot's /understand command will help GitHub Copilot to understand code written in a targeted programming language.

Answer: A,B

Explanation:
GitHub Copilot helps with learning new languages by providing guidance on common tasks and by converting comments into code, allowing developers to see syntax in action.

NEW QUESTION # 67
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