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Real GitHub-Copilot Braindumps & Updated GitHub-Copilot Dumps

The GitHub GitHub-Copilot certification exam is a valuable credential that often comes with certain personal and professional benefits. For many GitHub professionals, the GitHub CopilotCertification Exam (GitHub-Copilot) certification exam is not just a valuable way to boost their skills but also GitHub CopilotCertification Exam certification exam gives them an edge in the job market or the corporate ladder. There are other several advantages that successful GitHub GitHub-Copilot Exam candidates can gain after passing the GitHub GitHub-Copilot exam.

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GitHub CopilotCertification Exam Sample Questions (Q58-Q63):

NEW QUESTION # 58
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

A. Add the specific files to a copilot.ignore file.
B. Use the GitHub Copilot settings in the user interface to exclude files.
C. Rename the files to include the suffix _no_copilot.
D. Modify the .gitignore file to include the specific files.

Answer: B

Explanation:
The correct way to exclude files is through the GitHub Copilot settings in the user interface, which allows administrators to specify files and directories to be ignored.

NEW QUESTION # 59
What is zero-shot prompting?

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

Answer: C

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 # 60
What is a benefit of using custom models in GitHub Copilot?

A. Responses are faster to produce and appear sooner
B. Responses are guaranteed to be correct
C. Responses use the organization's LLM engine
D. Responses use practices and patterns in your repositories

Answer: D

Explanation:
Custom models in GitHub Copilot allow the tool to learn from the specific code patterns and practices within your repositories. This results in suggestions that are more aligned with your organization's coding standards and conventions, improving the relevance and accuracy of the generated code.

NEW QUESTION # 61
Which Copilot Individual features are available when using a supported extension for Visual Studio, VS Code, or JetBrains IDEs? (Each correct answer presents part of the solution. Choose two.)

A. Pull Request Diff Analysis
B. Code suggestions
C. Chat
D. Knowledge Base

Answer: B,C

Explanation:
GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.

NEW QUESTION # 62
What method can be used to interact with GitHub Copilot?

A. From a watch window in an IDE debug session
B. From a web browser at https://github.copilot.com
C. By using a properly configured GitHub CLI
D. By using chat capabilities in NeoVim

Answer: D

Explanation:
GitHub Copilot is an AI-powered code completion tool that integrates directly into supported Integrated Development Environments (IDEs) and code editors, such as Visual Studio Code, JetBrains IDEs, NeoVim, and others. Developers interact with it through their coding environment, where it provides real-time code suggestions, autocompletions, and (in some cases) chat-like capabilities via extensions or plugins (e.g., GitHub Copilot Chat in supported editors).
Evaluation of Options:
* A. By using a properly configured GitHub CLIThe GitHub CLI (Command Line Interface) is a tool for interacting with GitHub repositories and workflows from the terminal, but it is not a method for interacting with GitHub Copilot. Copilot operates within code editors/IDEs, not through the CLI.
Incorrect.
* B. By using chat capabilities in NeoVimThis is partially correct. GitHub Copilot can be used in NeoVim with the appropriate plugin (e.g., the Copilot.vim plugin), and GitHub Copilot Chat-a feature that allowsconversational interaction-may also be available depending on the setup and version.
However, "chat capabilities in NeoVim" alone is not the primary or standard way to describe Copilot interaction, as it's more about code suggestions than chat. This is the closest option but not perfectly precise.Partially correct.
* C. From a watch window in an IDE debug sessionThe "watch window" in an IDE is used during debugging to monitor variable values, not to interact with GitHub Copilot. Copilot provides suggestions while coding, not specifically in debug sessions or watch windows.Incorrect.
* D. From a web browser athttps://github.copilot.comThere is no such URL as "https://github.copilot.
com" dedicated to interacting with GitHub Copilot. Copilot is accessed via GitHub's authentication and integrated into editors/IDEs, not through a standalone web browser interface. Information about Copilot is available on GitHub's official site (e.g.,https://github.com/features/copilot), but interaction happens in the coding environment.Incorrect.

NEW QUESTION # 63
......

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