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Free Microsoft GH-300 Practice Exam with Questions & Answers | Set: 3

Questions 21

How can GitHub Copilot assist developers during the requirements analysis phase of the Software Development Life Cycle (SDLC)?

Options:
A.

By automatically generating detailed requirements documents.

B.

By providing templates and code snippets that help in documenting requirements.

C.

By identifying and fixing potential requirement conflicts when using /help.

D.

By managing stakeholder communication and meetings.

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Questions 22

What is the process behind identifying public code matches when using a public code filter enabled in GitHub Copilot?

Options:
A.

Running code suggestions through filters designed to detect public code

B.

Comparing suggestions against public code using machine learning.

C.

Analyzing the context and structure of the code being written

D.

Reviewing the user ' s browsing history to identify public repositories

Questions 23

What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

Options:
A.

Modify the .gitignore file to include the specific files.

B.

Add the specific files to a copilot.ignore file.

C.

Use the GitHub Copilot settings in the user interface to exclude files.

D.

Rename the files to include the suffix _no_copilot.

Questions 24

Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

Options:
A.

Inclusiveness

B.

Fairness

C.

Reliability and Safety

D.

Privacy and Security

Questions 25

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 26

What GitHub Copilot feature can be configured at the organization level to prevent GitHub Copilot suggesting publicly available code snippets?

Options:
A.

GitHub Copilot Chat in the IDE

B.

GitHub Copilot Chat in GitHub Mobile

C.

GitHub Copilot duplication detection filter

D.

GitHub Copilot access to Bing

Questions 27

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.)

Options:
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.

Questions 28

How can the insights gained from the metrics API be used to improve the development process in conjunction with GitHub Copilot?

Options:
A.

Real-time debugging and error resolution statistics.

B.

Insights on the types of coding languages where GitHub Copilot is most helpful.

C.

Automated generation of complete project documentation.

D.

Detailed analysis of GitHub Copilot ' s suggestions vs. manual coding.

Questions 29

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 30

Identify the steps involved in the life cycle of a GitHub Copilot code suggestion? (Each correct answer presents part of the solution. Choose two.)

Options:
A.

Generate suggestions

B.

Capturing the user ' s context

C.

Processing telemetry data

D.

Retraining the model

E.

Storing user data