GitHub Copilot v1.0

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What is the impact of the “Fill-In-the-Middle” (FIM) technique on GitHub Copilot’s code suggestions?

  • A. Improves suggestions by considering both the prefix and suffix of the code, filling in the middle part more accurately.
  • B. Restricts Copilot to use only external databases for generating code suggestions.
  • C. Allows Copilot to generate suggestions based only on the prefix of the code.
  • D. Ignores both the prefix and suffix of the code, focusing only on user comments for context.


Answer : A

Which of the following statements correctly describes how GitHub Copilot Individual uses prompt data? Each correct answer presents part of the solution. (Choose two.)

  • A. Real-time user input helps generate context-aware code suggestions.
  • B. Prompt data is used internally by GitHub for improving the search engine.
  • C. Prompt data is used to train machine learning models for better code suggestions.
  • D. Prompt data is stored unencrypted for faster processing.


Answer : AC

What is used by GitHub Copilot in the IDE to determine the prompt context?

  • A. Information from the IDE like open tabs, cursor location, selected code.
  • B. All the code visible in the current IDE.
  • C. All the code in the current repository and any git submodules.
  • D. The open tabs in the IDE and the current folder of the terminal.


Answer : A

Which of the following does GitHub Copilot’s LLM derive context from when producing a response?

  • A. Version control system integrated with the IDE
  • B. Syntax highlighting scheme of the code in the IDE
  • C. Frequency of commits to the repository
  • D. Neighboring or related files within a project


Answer : D

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

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


Answer : D

How does GitHub Copilot identify matching code and ensure that public code is appropriately handled or blocked? Each correct answer presents part of the solution. (Choose two.)

  • A. Implementing safeguards to detect and avoid suggesting verbatim snippets from public code
  • B. Filtering out suggestions that match code from public repositories
  • C. Using machine learning models trained only on private repositories
  • D. Reviewing and storing user-specific private repository data for future suggestions


Answer : AB

How does GitHub Copilot utilize chat history to enhance its code completion capabilities?

  • A. By sharing chat history with third-party services to improve integration and functionality.
  • B. By analyzing past chat interactions to identify common programming patterns and errors.
  • C. By logging chat history to monitor user activity and ensure compliance with coding standards.
  • D. By using chat history to offer personalized code snippets based on previous prompts.


Answer : D

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

  • A. To compare user-generated code against a private repository for potential matches.
  • B. To encourage the user to follow coding best practices preventing code duplication.
  • C. To allow administrators to control which suggestions are visible to developers based on custom criteria.
  • D. To detect and block suggestions that match public code snippets on GitHub if they contain about 150 characters.


Answer : D

When crafting prompts for GitHub Copilot, what is a recommended strategy to enhance the relevance of the generated code?

  • A. Keep the prompt as short as possible, using single words or brief phrases.
  • B. Provide examples of expected input and output within the prompt.
  • C. Avoid mentioning the programming language to allow for more flexible suggestions.
  • D. Write the prompt in natural language without any programming language.


Answer : B

What is zero-shot prompting?

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


Answer : B

What are the different ways to give context to GitHub Copilot to get more precise responses? Each correct answer presents part of the solution. (Choose two.)

  • A. Engage with chat participants such as @workspace to incorporate collaborative context into the responses.
  • B. Access developer’s previous projects and code repositories to understand their coding style without explicit permission.
  • C. Utilize to interpret developer’s thoughts and intentions without any code or comments.
  • D. Utilize chat variables like #file and #editors to anchor the conversation within the specific context of the files or editors in use.


Answer : AD

Select a strategy to increase the performance of GitHub Copilot Chat.

  • A. Use a single GitHub Copilot Chat query to find resolutions for the collection of technical requirements
  • B. Optimize the usage of memory-intensive operations within generated code
  • C. Apply prompt engineering techniques to be more specific
  • D. Limit the number of concurrent users accessing GitHub Copilot Chat


Answer : C

What is few-shot prompting?

  • A. Telling GitHub Copilot to try multiple times to answer the prompt
  • B. Telling GitHub Copilot to iterate several times on the answer before returning it to you
  • C. Telling GitHub Copilot from which sources it should base the response on
  • D. Telling GitHub Copilot about the mechanism you want it to use and how to incorporate that into the response


Answer : D

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

  • A. By providing suggestions for improving code readability and maintainability based on best practices.
  • B. By offering code transformation examples that enhance performance and reduce complexity.
  • C. By independently ensuring compliance with regulatory standards across industries.
  • D. By autonomously refactoring entire codebases to the latest programming language.


Answer : AB

What is one of the recommended practices when using GitHub Copilot Chat to enhance code quality?

  • A. Rely solely on Copilot’s suggestions without reviewing them.
  • B. Regularly review and refactor the code suggested by Copilot.
  • C. Disable Copilot’s inline suggestions.
  • D. Avoid using Copilot for complex tasks.


Answer : B

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