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BEST Verified GitHub GitHub-Copilot Exam Questions (2026)
NEW QUESTION # 34
Which scenarios can GitHub Copilot Chat be used to increase productivity? Each correct answer presents part of the solution. (Choose two.)
- A. Create a documentation file for the newly created code base.
- B. A developer is added to a new project and would like to understand the current software code.
- C. Fast tracking of release management activities to move code to production main branch.
- D. A project plan for the team needs to be generated using a project management software.
Answer: A,B
Explanation:
GitHub CopilotꢀChat can draft documentation directly from your code's structure and comments, and it can walk a new team member through existing code by summarizing and explaining its components, thereby boosting onboarding efficiency and overall productivity.
NEW QUESTION # 35
What kind of insights can the GitHub Copilot usage metrics API provide to help evaluate the effectiveness of GitHub Copilot? Each correct answer presents part of the solution. (Choose two.)
- A. The API can refactor your code to improve productivity.
- B. The API can track the acceptance rate of code suggestions accepted and used in the organization.
- C. The API can generate detailed reports on code quality improvements made by GitHub Copilot.
- D. The API can provide feedback on coding style and standards compliance.
- E. The API can provide Copilot Chat specific suggestions acceptance metrics.
Answer: B,E
Explanation:
The GitHub Copilot usage metrics API provides insights into the acceptance rate of code suggestions and Copilot Chat specific suggestions acceptance metrics, helping organizations evaluate its effectiveness.
NEW QUESTION # 36
What is the best way to share feedback about GitHub Copilot Chat when using it on GitHub Mobile?
- A. Use the emojis in the Copilot Chat interface.
- B. The Settings menu in the GitHub Mobile app.
- C. By tweeting at GitHub's official X (previously known as Twitter) account.
- D. The feedback section on the GitHub website.
Answer: A
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 # 37
How long does it take content exclusion to add or be updated?
- A. 45 - 60 minutes
- B. 24 hours
- C. 60 - 90 minutes
- D. Up to 30 minutes
Answer: D
NEW QUESTION # 38
You are configuring GitHub Copilot in the CLI for a smoother developer experience. Which of the following aliases can be set up to perform common actions like code suggestions and explanations?
- A. "ghshare" - Share Copilot responses with your colleagueswrong
- B. "ghrun" - Run Copilot commands in a build pipelinewrong
- C. "ghce" - GitHub Copilot Explainright
- D. "ghinit" - Initialize Copilot CLI
- E. "ghcs" - GitHub Copilot Suggestright
Answer: C,E
Explanation:
ghcs is a commonly configured alias for the GitHub Copilot CLI command to suggest code. It simplifies the user experience by allowing developers to quickly prompt Copilot from the terminal.
ghce stands for GitHub Copilot Explain and is another helpful alias that allows developers to request natural language explanations for code from the terminal.
Reference:
https://docs.github.com/en/Copilot/managing-Copilot/configure-personal-settings/configuring-github-Copilot-in-the-cli#setting-up-aliases
NEW QUESTION # 39
How can GitHub Copilot be limited when it comes to suggesting unit tests?
- A. GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.
- B. GitHub Copilot can handle any complexity in code and automatically generate appropriate unit tests.
- C. GitHub Copilot primarily suggests basic unit tests that focus on core functionalities, often requiring additional input from developers for comprehensive coverage.
- D. GitHub Copilot's limitations in generating unit tests can vary based on the IDE version you are using.
Answer: C
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 # 40
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 in the current repository and any git submodules.
- C. All the code visible in the current IDE.
- D. The open tabs in the IDE and the current folder of the terminal.
Answer: A
Explanation:
Copilot gathers context directly from your IDE - including which files or tabs are open, where your cursor is positioned, and any selected code - to tailor its suggestions to exactly where and how you're coding.
NEW QUESTION # 41
What is the correct sequence of steps to install GitHub Copilot CLI on a developer's system?
- A. Download GitHub Desktop, install Copilot from the marketplace, and log in with SSO
- B. Install GitHub CLI, run "gh extension install github/gh-Copilot", and authenticate using gh auth loginright
- C. Run "npm install Copilot", create a GitHub repo, and configure settings
- D. Install VS Code, enable the Copilot extension, and clone a repository
Answer: B
Explanation:
To install GitHub Copilot in the CLI, developers must first have the GitHub CLI (gh) installed.
Then, they run the correct command: gh extension install github/gh-Copilot. Authentication is completed with gh auth login. This sequence ensures the extension is installed properly and securely.
Reference:
https://docs.github.com/en/Copilot/managing-Copilot/configure-personal-settings/installing-github-Copilot-in-the-cli
NEW QUESTION # 42
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)
- A. Creation of a unit test scenario for newly developed Python code
- B. Explain a legacy COBOL code and translate the code to another language like C#.
- C. Creation of end-to-end performance testing scenarios for a web application
- D. Create a technical requirement specification from the business requirement documentation
Answer: A,B
Explanation:
GitHub Copilot Chat is effective for explaining and translating legacy code and generating unit test scenarios for new code.
NEW QUESTION # 43
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.)
- A. Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)
- B. Code that contains logical errors or produces unexpected results
- C. Sexually suggestive or explicit content
- D. Code comments containing strong opinions or criticisms
Answer: A,C
Explanation:
GitHub Copilot includes a toxicity filter to prevent the generation of harmful or inappropriate content. This filter flags prompts or code snippets that contain hate speech, discriminatory language, or sexually suggestive or explicit content. This ensures a safe and respectful coding environment.
NEW QUESTION # 44
Your organization wants GitHub Copilot Enterprise to suggest code based on internal coding practices and documentation. Which of the following features should be configured to allow Copilot to access and utilize organization-specific content?
- A. Creating and configuring Knowledge Bases in GitHub Copilot Enterpriseright
- B. Activating audit logs for internal repository access tracking
- C. Setting up GitHub Copilot CLI with access permissions
- D. Enabling GitHub Copilot Chat in the IDE
Answer: A
Explanation:
GitHub Copilot Enterprise allows organizations to create and configure Knowledge Bases containing internal code snippets, documentation, best practices, and more. These resources are used by Copilot to provide contextually relevant suggestions based on proprietary content.
Reference:
https://docs.github.com/en/enterprise-cloud@latest/Copilot/customizing-Copilot/managing-Copilot-knowledge-bases
NEW QUESTION # 45
In which of the following scenarios is GitHub Copilot Chat most effectively utilized?
- A. Asking questions about project-specific code behaviorright
- B. Generating pull request summaries
- C. Viewing repository audit logs
- D. Configuring organization-wide access controls
Answer: A
Explanation:
GitHub Copilot Chat excels at providing context-aware assistance directly within the developer's IDE. When a developer asks a question about a function, class, or logic in their codebase, Copilot Chat can interpret the context and offer accurate, helpful responses, such as explanations of what a piece of code does, how to refactor it, or how to fix an error. This makes it particularly effective for in-the-moment learning and debugging during software development.
Reference:
https://docs.github.com/en/Copilot/about-github-Copilot/what-is-github-Copilot#Copilot-features
NEW QUESTION # 46
What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)
- A. Clearly defining the problem or task
- B. Use a .gitignore file to exclude irrelevant files
- C. Providing examples of desired output
- D. Including personal information in the code comments
- E. Using meaningful variable names
Answer: A,C,E
Explanation:
The quality of Copilot's suggestions is enhanced by clearly defining the task, using meaningful variable names, and providing examples of the desired output.
NEW QUESTION # 47
What is few-shot prompting?
- A. Telling GitHub Copilot to try multiple times to answer the prompt
- B. Telling GitHub Copilot from which sources it should base the response on
- C. Telling GitHub Copilot about the mechanism you want it to use and how to incorporate that into the response
- D. Telling GitHub Copilot to iterate several times on the answer before returning it to you
Answer: C
Explanation:
By embedding a few concrete examples of the task - showing sample inputs alongside the exact outputs you expect - you guide Copilot to generalize from those instances and produce more accurate code for similar cases.
NEW QUESTION # 48
A social media manager wants to use AI to filter content. How can they promote transparency in the platform's AI operations?
- A. By regularly updating the AI filtering algorithm.
- B. By providing clear explanations about the types of content the AI is designed to filter and how it arrives at its conclusion.
- C. By relying on a well-regarded AI development company.
- D. By focusing on user satisfaction with the content filtering
Answer: B
Explanation:
Offering clear, accessible explanations of what content the AI filters and the rationale behind its decisions ensures users understand and trust the system's operation, embodying the transparency principle in ethical AI.
NEW QUESTION # 49
Where can you validate if GitHub Copilot is not returning suggestions because of content exclusions?
- A. The GitHub Copilot errors panel in your IDE
- B. The GitHub Copilot icon in the status bar of the editor will display a message
- C. The code suggestions window will display a warning message
- D. The GitHub Copilot logs on GitHub.com under your user settings
Answer: B
Explanation:
The GitHub Copilot icon in your editor's status bar will display a message whenever suggestions are blocked due to content exclusions, making it the place to check for such notifications.
NEW QUESTION # 50
How does GitHub Copilot Enterprise assist in code reviews during the pull request process? (Select two.)
- A. It can answer questions about the changeset of the pull request.
- B. It generates a prose summary and a bulleted list of key changes for pull requests.
- C. It automatically merges pull requests after an automated review.
- D. It can validate the accuracy of the changes in the pull request.
Answer: A,B
Explanation:
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.
NEW QUESTION # 51
How does GitHub Copilot suggest code optimizations for improved performance?
- A. By analyzing the codebase and suggesting more efficient algorithms or data structures.
- B. By automatically rewriting the codebase to use more efficient code.
- C. By enforcing strict coding standards that ensure optimal performance.
- D. By providing detailed reports on the performance of the codebase.
Answer: A
Explanation:
GitHub Copilot suggests code optimizations by analyzing the codebase and recommending more efficient algorithms or data structures.
NEW QUESTION # 52
When using GitHub Copilot to identify missing tests in your codebase, which of the following is the most important factor to consider?
- A. Close all the tabs in your IDE that do not have tests in them.
- B. Having a high test coverage percentage in the codebase.
- C. Using well-known coding practices in your repository.
- D. Ensuring that the correct context is available to GitHub Copilot.
Answer: D
Explanation:
GitHub Copilot needs the relevant code and test files in its context window to spot where tests are missing - without that context, it can't accurately identify gaps.
NEW QUESTION # 53
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