GitHub Copilot Exam Free Dumps

dumps2025-05-10T10:13:46+08:00

GitHub Copilot certification validates your expertise with GitHub Copilot. To take GitHub Copilot exam, you should know about responsible AI practices, prompt engineering and crafting, as well as testing with GitHub Copilot. The available languages are English, Portuguese, Spanish, Korean, Japanese. The exam price is $99. We provide the latest GitHub Copilot exam dumps, which are the best material for you to study and pass the test. Free GitHub Copilot exam dumps are available below.

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1. Which of the following describes role prompting?

Describing in your prompt what your role is to get a better suggestion

Tell GitHub Copilot in what tone of voice it should respond

Prompt GitHub Copilot to explain what was the role of a suggestion

Giving GitHub Copilot multiple examples of the form of the data you want to use

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

A complete replacement for developers generating code.

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

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

A tool solely designed for debugging and error correction.

3. How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)

Prompts and Suggestions: Not retained

Prompts and Suggestions: Retained for 28 days

User Engagement Data: Kept for Two Years

User Engagement Data: Kept for One Year

4. What types of prompts or code snippets might be flagged by the GitHub Copilot toxicity filter? (Each correct answer presents part of the solution. Choose two.)

Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)

Sexually suggestive or explicit content

Code that contains logical errors or produces unexpected results

Code comments containing strong opinions or criticisms

5. What is a benefit of using custom models in GitHub Copilot?

Responses are faster to produce and appear sooner

Responses use practices and patterns in your repositories

Responses use the organization's LLM engine

Responses are guaranteed to be correct

6. How does GitHub Copilot Chat ensure that a function works correctly?

By suggesting assertions based on the code's context and semantics.

By automatically writing all the tests for the function.

By writing the implementation code for the function.

By executing the test cases to validate the correctness of the code.

7. What is a key consideration when relying on GitHub Copilot Chat's explanations of code functionality and proposed improvements?

The explanations are dynamically updated based on user feedback.

Reviewing and validating the generated output for accuracy and completeness.

GitHub Copilot Chat uses a static database for generating explanations.

The explanations are primarily derived from user-provided documentation.

8. How can GitHub Copilot assist with code refactoring tasks?

GitHub Copilot can fix syntax errors without user input.

GitHub Copilot can automatically rewrite code to follow best practices.

GitHub Copilot can suggest refactoring improvements for better code quality.

GitHub Copilot can remove unnecessary files from the project directory.

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

Running code suggestions through filters designed to detect public code

Comparing suggestions against public code using machine learning.

Analyzing the context and structure of the code being written

Reviewing the user's browsing history to identify public repositories

10. Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)

"Show me how to improve the readability of this function."

"Suggest ways to enhance the maintainability of this code segment."

"Refactor my application to meet the latest coding standards."

"Predict future coding trends and update my codebase accordingly."

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11. What method can a developer use to generate sample data with GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

Utilizing GitHub Copilot's ability to create fictitious information from patterns in training data.

Leveraging GitHub Copilot's ability to independently initiate and manage data storage services.

Utilize GitHub Copilot's capability to directly access and use databases to create sample data.

Leveraging GitHub Copilot's suggestions to create data based on API documentation in the repository.

12. What are the potential risks associated with relying heavily on code generated from GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

GitHub Copilot may introduce security vulnerabilities by suggesting code with known exploits.

GitHub Copilot may decrease developer velocity by requiring too much time in prompt engineering.

GitHub Copilot's suggestions may not always reflect best practices or the latest coding standards.

GitHub Copilot may increase development lead time by providing irrelevant suggestions.

13. What is the correct way to access the audit log events for GitHub Copilot Business?

Navigate to the Security tab in the organization's GitHub settings

Navigate to the Insights tab in the repository settings

Use the Audit log section in the organization's GitHub settings

Use the Code tab in the GitHub repository

14. How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

By opening the relevant tabs in your IDE

By adding relevant code snippets to your prompt

By adding the important files to your .gitconfig

By adding the full file paths to your prompt of important files

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

By automatically generating detailed requirements documents.

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

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

By managing stakeholder communication and meetings.

16. How do you generate code suggestions with GitHub Copilot in the CLI?

Write code comments -> Press the suggestion shortcut -> Select the best suggestion from the list.

Use copilot suggest -> Write the command you want -> Select the best suggestion from the list.

Type out the code snippet -> Use the copilot refine command to enhance it -> Review the suggested command.

Describe the project's architecture -> Use the copilot generate command -> Accept the generated suggestion.

17. Where is the proxy service hosted?

Self hosted

Amazon Web Service

Microsoft Azure

Google Cloud Platform

18. What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?

Suggestions matching public code to 'blocked'

Enforce blocking of MIT or GPL licensed code

You need to check code suggestions yourself before accepting

Enable GitHub Copilot license checking

19. Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?

Fairness

Transparency

Inclusiveness

Accountability

20. In what way can GitHub Copilot and GitHub Copilot Chat aid developers in modernizing applications?

GitHub Copilot can directly convert legacy applications into cloud-native architectures.

GitHub Copilot can suggest modern programming patterns based on your code.

GitHub Copilot can create and deploy full-stack applications based on a single query.

GitHub Copilot can refactor applications to align with upcoming standards.

GitHub Copilot Exam Free Dumps

GitHub Copilot Exam Free Dumps

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