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GitHub GitHub-Copilot Exam Overview:
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| Topic | Details |
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| Topic 1 | - How GitHub Copilot Works and Handles Data: This section of the exam measures the skills of Data Security Specialists and DevOps Engineers and covers how GitHub Copilot processes data, handles code suggestions and manages privacy concerns. It explains the data pipeline for Copilot’s suggestions, how it gathers context, and how prompts are processed through its AI model. The section also discusses the limitations of AI-generated code, the effects of historical data on suggestions, and the role of prompt crafting. Best practices for improving prompt effectiveness and optimizing AI-generated responses are included.
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| Topic 2 | - Developer Use Cases for AI: This section of the exam measures skills of Full-Stack Developers and Cloud Engineers and covers how AI enhances developer productivity across various tasks such as learning new programming languages, debugging, writing documentation, and refactoring code. It discusses how GitHub Copilot integrates with the Software Development Lifecycle (SDLC) and its role in modernizing legacy applications. It also highlights the use of AI for personalized responses, sample data generation, and improving overall efficiency in software development.
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| Topic 3 | - GitHub Copilot Plans and FeaturesThis section of the exam measures the skills of Software Engineers and IT Administrators and covers different GitHub Copilot plans, including Individual, Business, and Enterprise editions. It explains the integration of GitHub Copilot within IDEs and discusses key features such as inline chat, multiple suggestions, and exception handling. The section details the policies for managing GitHub Copilot within organizations, including auditing logs and API management. It also highlights advanced functionalities like knowledge bases for improved code quality and best practices for Copilot Chat usage.
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GitHub CopilotCertification Exam Sample Questions (Q71-Q76):
NEW QUESTION # 71
What is the correct sequence of steps to install GitHub Copilot CLI on a developer's system?
- A. Install VS Code, enable the Copilot extension, and clone a repository
- 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. Download GitHub Desktop, install Copilot from the marketplace, and log in with SSO
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 # 72
When using an IDE with a supported GitHub Copilot plug-in, which Chat features can be accessed from within the IDE? Each correct answer presents part of the solution. (Choose two.)
- A. Find out about releases and commits
- B. Plan coding tasks
- C. Generate unit tests
- D. Explain code and suggest improvements
Answer: C,D
Explanation:
Within your IDE's Copilot Chat pane you can ask it to explain existing code and suggest improvements.
You can also prompt it to generate unit tests for your code directly in the editor.
NEW QUESTION # 73
A developer is working for an enterprise that hosts all its code on Bitbucket and wants to leverage GitHub Copilot. However, their organization doesn't have any GitHub repositories. Can they still access GitHub Copilot?
- A. Yes, only when the organization migrates their Codebase to GitHub from Bitbucket
- B. No, GitHub Copilot for CLI can only work with GitHub-hosted projects
- C. Yes, by using GitHub Copilot for business, they can integrate GitHub Copilot with non-GitHub- hosted repositoriesright
- D. No, Copilot can only be used with GitHub repositories
Answer: C
Explanation:
GitHub Copilot Business supports usage with non-GitHub repositories. Developers can use Copilot in supported IDEs regardless of the repository hosting platform, enabling access to AI coding suggestions even if code is hosted outside GitHub.
Reference:
https://learn.microsoft.com/en-us/training/modules/github-Copilot-management-and-customizations/2-explore-github-Copilot-plans-associated-management-customization- features?ns-enrollment-type=learningpath&ns-enrollment-id=learn.github-Copilot
NEW QUESTION # 74
How can GitHub Copilot aid developers in writing documentation for their code?
- A. GitHub Copilot can only generate content in markdown format.
- B. GitHub Copilot cannot assist in writing documentation or comments.
- C. GitHub Copilot can suggest summaries or descriptions based on the code's functionality.
- D. GitHub Copilot can automatically generate complete and detailed documentation.
Answer: C
Explanation:
GitHub Copilot can analyze your code's structure and intent to propose concise summaries or descriptive comments, helping you draft documentation more efficiently.
NEW QUESTION # 75
What is few-shot prompting?
- A. Telling GitHub Copilot to iterate several times on the answer before returning it to you
- 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 try multiple times to answer the prompt
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 # 76
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