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Free Microsoft GH-300 Practice Exam with Questions & Answers | Set: 2

Questions 11

When can GitHub Copilot still use content that was excluded using content exclusion?

Options:
A.

If the contents of an excluded file are referenced in code that is not excluded, for example function calls.

B.

When the repository level settings allow overrides by the user.

C.

If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.

D.

When the user prompts with @workspace.

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Questions 12

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

Options:
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.

Questions 13

In what ways can GitHub Copilot support a developer during the code refactoring process? (Each correct answer presents part of the solution. Choose two.)

Options:
A.

By offering code transformation examples that enhance performance and reduce complexity.

B.

By independently ensuring compliance with regulatory standards across industries.

C.

By providing suggestions for improving code readability and maintainability based on best practices.

D.

By autonomously refactoring entire codebases to the latest programming language.

Questions 14

What is the primary role of the /optimize slash command in Visual Studio?

Options:
A.

Translates code into a more performant language.

B.

Enhances the performance of the selected code by analyzing its runtime complexity.

C.

Automatically formats the code according to the selected style guide.

D.

Summarizes your documentation into more maintainable and readable formats.

Questions 15

What are the potential limitations of GitHub Copilot Chat? (Each correct answer presents part of the solution. Choose two.)

Options:
A.

Limited training data

B.

No biases in code suggestions

C.

Ability to handle complex code structures

D.

Extensive support for all programming languages

Questions 16

What role does chat history play in GitHub Copilot's code suggestions?

Options:
A.

Chat history is used to train the GitHub Copilot model in real-time.

B.

Chat history provides context to GitHub Copilot, improving the relevance and accuracy of its code suggestions.

C.

Chat history is stored and shared with other users to enhance collaboration.

D.

Chat history is irrelevant to GitHub Copilot and does not affect its functionality.

Questions 17

Which of the following are true about code suggestions? (Each correct answer presents part of the solution. Choose two.)

Options:
A.

Code suggestions are guaranteed to not expose known security vulnerabilities

B.

You can use keyboard shortcuts to accept the next word in a suggestion

C.

Code suggestions are limited to single-line suggestions

D.

Code suggestions will always compile or run without modifications

E.

Alternative code suggestions can be shown in a new tab

Questions 18

What GitHub Copilot configuration needs to be enabled to protect against IP infringements?

Options:
A.

Blocking public code matches

B.

Blocking license check configuration

C.

Allowing public code matches

D.

Allowing license check configuration

Questions 19

What is the main purpose of the duplication detection filter in GitHub Copilot?

Options:
A.

To compare user-generated code against a private repository for potential matches.

B.

To allow administrators to control which suggestions are visible to developers based on custom criteria.

C.

To encourage the user to follow coding best practices preventing code duplication.

D.

To detect and block suggestions that match public code snippets on GitHub if they contain about 150 characters.

Questions 20

How does GitHub Copilot assist developers in reducing the amount of manual boilerplate code they write?

Options:
A.

By engaging in real-time collaboration with multiple developers to write boilerplate code.

B.

By predicting future coding requirements and pre-emptively generating boilerplate code.

C.

By refactoring the entire codebase to eliminate boilerplate code without developer input.

D.

By suggesting code snippets that can be reused across different parts of the project.