Pass Guaranteed Quiz 2025 Realistic Verified Free GitHub-Copilot Exam Dumps
Free GitHub Certification GitHub-Copilot Ultimate Study Guide (Updated 68 Questions)
NEW QUESTION # 21
What is zero-shot prompting?
- A. Giving as little context to GitHub Copilot as possible
- B. Only giving GitHub Copilot a question as a prompt and no examples
- C. Telling GitHub Copilot it needs to show only the correct answer
- D. Giving GitHub Copilot examples of the problem you want to solve
- E. Giving GitHub Copilot examples of the algorithm and outcome you want to use
Answer: B
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 # 22
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 can convert comments into code to grasp the syntax and nuances of a new programming language.
- C. GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.
- D. GitHub Copilot's /understand command will help GitHub Copilot to understand code written in a targeted programming language.
Answer: A,B
Explanation:
GitHub Copilot helps with learning new languages by providing guidance on common tasks and by converting comments into code, allowing developers to see syntax in action.
NEW QUESTION # 23
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?
- A. GitHub Copilot will automatically correct any statistical errors found in the user's initial code.
- B. GitHub Copilot can independently verify the statistical significance of results.
- C. GitHub Copilot can design new statistical methods that have not been previously documented.
- D. GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.
Answer: D
Explanation:
Developers should consider that GitHub Copilot's suggestions are based on statistical trends and may not always be accurate for specific datasets, requiring careful validation.
NEW QUESTION # 24
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?
- A. Transparency
- B. Inclusiveness
- C. Fairness
- D. Accountability
Answer: A
Explanation:
The principle of transparency emphasizes that AI systems should be understandable and provide clear information about their operations. This ensures that users can understand how the AI arrivesat its decisions and suggestions.
NEW QUESTION # 25
What is a likely effect of GitHub Copilot being trained on commonly used code patterns?
- A. Suggest code snippets that reflect the most common practices in the training data.
- B. Suggest homogeneous solutions if provided a diverse data set.
- C. Suggest innovative coding solutions that are not yet popular.
- D. Suggest completely novel projects, while reducing time on a project.
Answer: A
Explanation:
GitHub Copilot is likely to suggest code snippets that reflect common practices in its training data, as it learns from frequently used patterns.
NEW QUESTION # 26
What is the correct way to access the audit log events for GitHub Copilot Business?
- A. Use the Audit log section in the organization's GitHub settings
- B. Navigate to the Insights tab in the repository settings
- C. Navigate to the Security tab in the organization's GitHub settings
- D. Use the Code tab in the GitHub repository
Answer: A
Explanation:
Audit log events for GitHub Copilot Business can be accessed through the Audit log section within the organization's GitHub settings. This log provides a record of activities related to Copilot usage and configuration.
NEW QUESTION # 27
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)
- A. Provide links to supporting documentation
- B. Provide all information about the utilized files
- C. Provide insight on where to get the content from to get a response
- D. Provide specific success criteria
Answer: A,D
Explanation:
Improving prompts involves providing specific success criteria and including links to supporting documentation to give GitHub Copilot more context and direction.
NEW QUESTION # 28
Where is the proxy service hosted?
- A. Microsoft Azure
- B. Google Cloud Platform
- C. Self hosted
- D. Amazon Web Service
Answer: A
Explanation:
The proxy service for GitHub Copilot is hosted on Microsoft Azure.
NEW QUESTION # 29
What role does chat history play in GitHub Copilot's code suggestions?
- A. Chat history is stored and shared with other users to enhance collaboration.
- B. Chat history is used to train the GitHub Copilot model in real-time.
- C. Chat history provides context to GitHub Copilot, improving the relevance and accuracy of its code suggestions.
- D. Chat history is irrelevant to GitHub Copilot and does not affect its functionality.
Answer: C
Explanation:
Chat history provides valuable context to GitHub Copilot, helping it generate more relevant and accurate code suggestions based on previous interactions and conversations.
NEW QUESTION # 30
How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)
- A. User Engagement Data: Kept for One Year
- B. Prompts and Suggestions: Retained for 28 days
- C. Prompts and Suggestions: Not retained
- D. User Engagement Data: Kept for Two Years
Answer: B,D
Explanation:
For GitHub Copilot Business and Enterprise, prompts and suggestions are retained for 28 days to provide context and improve the service. User engagement data, which includes usage patterns and interactions, is kept for two years. This data retention policy is designed to balance service improvement with user privacy.
NEW QUESTION # 31
How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution.
Choose two.)
- A. By opening the relevant tabs in your IDE
- B. By adding relevant code snippets to your prompt
- C. By adding the full file paths to your prompt of important files
- D. By adding the important files to your .gitconfig
Answer: A,B
Explanation:
Improving the context for GitHub Copilot involves opening relevant files in your IDE to provide immediate context and adding relevant code snippets directly to your prompts to give Copilot specific examples and information.
NEW QUESTION # 32
What GitHub Copilot feature can be configured at the organization level to prevent GitHub Copilot suggesting publicly available code snippets?
- A. GitHub Copilot duplication detection filter
- B. GitHub Copilot Chat in the IDE
- C. GitHub Copilot Chat in GitHub Mobile
- D. GitHub Copilot access to Bing
Answer: A
Explanation:
The duplication detection filter can be configured at the organization level to prevent GitHub Copilot from suggesting publicly available code snippets.
NEW QUESTION # 33
How can GitHub Copilot be limited when it comes to suggesting unit tests?
- A. GitHub Copilot can handle any complexity in code and automatically generate appropriate unit tests.
- B. GitHub Copilot's limitations in generating unit tests can vary based on the IDE version you are using.
- C. GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.
- D. GitHub Copilot primarily suggests basic unit tests that focus on core functionalities, often requiring additional input from developers for comprehensive coverage.
Answer: D
Explanation:
GitHub Copilot often suggests basic unit tests and may not cover all edge cases or complex integration scenarios, requiring developers to supplement its suggestions.
NEW QUESTION # 34
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)
- A. Monthly, as a metered service based on actual consumption
- B. Free (not billed) for all open source projects
- C. Annually as a subscription
- D. Monthly as a subscription
Answer: C,D
Explanation:
GitHub Copilot Individual is billed as a monthly or annual subscription.
NEW QUESTION # 35
A company is currently storing code in Bitbucket and would like to use GitHub Copilot. Which GitHub Copilot plan will be most cost effective to allow them to manage users with their Identity Provider (e.g. Okta)?
- A. GitHub Copilot Enterprise
- B. GitHub Copilot Individual
- C. GitHub Copilot Business for non-GHE customers
- D. GitHub Copilot Teams
Answer: A
Explanation:
GitHub Copilot Enterprise is the most cost-effective plan for managing users with an Identity Provider like Okta, as it provides enterprise-level features and integration.
NEW QUESTION # 36
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. Chat
- B. Code suggestions
- C. Knowledge Base
- D. Pull Request Diff Analysis
Answer: A,B
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 # 37
What is the best way to share feedback about GitHub Copilot Chat when using it on GitHub Mobile?
- A. The feedback section on the GitHub website.
- B. By tweeting at GitHub's official X (previously known as Twitter) account.
- C. The Settings menu in the GitHub Mobile app.
- D. Use the emojis in the Copilot Chat interface.
Answer: D
Explanation:
The best way to share feedback on GitHub Mobile is using the emojis in the Copilot Chat interface, which allows for direct and immediate feedback.
NEW QUESTION # 38
What is a key consideration when relying on GitHub Copilot Chat's explanations of code functionality and proposed improvements?
- A. GitHub Copilot Chat uses a static database for generating explanations.
- B. The explanations are dynamically updated based on user feedback.
- C. Reviewing and validating the generated output for accuracy and completeness.
- D. The explanations are primarily derived from user-provided documentation.
Answer: C
Explanation:
While GitHub Copilot Chat can provide helpful explanations and suggestions, it's crucial to review and validate the generated output. Copilot's suggestions are based on its training data, and they may not always be perfectly accurate or complete. Human judgment is essential to ensure the quality and correctness of the code.
NEW QUESTION # 39
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