Free Access Microsoft.GH-300.v2026-05-03.q74 Practice Test (Page 8)

Question 31

When crafting prompts for GitHub Copilot, what is a recommended strategy to enhance the relevance of the generated code?

A.Keep the prompt as short as possible, using single words or brief phrases.

B.Write the prompt in natural language without any programming language.

C.Avoid mentioning the programming language to allow for more flexible suggestions.

D.Provide examples of expected input and output within the prompt.

Question 32

How can the concept of fairness be integrated into the process of operating an AI tool?

A.Focusing on accessibility will ensure fairness.

B.Focusing on collecting large datasets for training will ensure fairness.

C.Regularly monitoring the AI tool's performance will ensure fairness in its outputs.

D.Training AI data and algorithms to be free from biases will ensure fairness.

Question 33

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's /understand command will help GitHub Copilot to understand code written in a targeted programming language.

C.GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.

D.GitHub Copilot can convert comments into code to grasp the syntax and nuances of a new programming language.

Question 34

What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

A.Provide specific success criteria

B.Provide all information about the utilized files

C.Provide insight on where to get the content from to get a response

D.Provide links to supporting documentation

Question 35

Which of the following scenarios best describes the intended use of GitHub Copilot Chat as a tool?

A.A complete replacement for developers generating code.

B.A productivity tool that provides suggestions, but relying on human judgment.

C.A solution for software development, requiring no additional input or oversight.

D.A tool solely designed for debugging and error correction.

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Question 31

Question 32

Question 33

Question 34

Question 35

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