GitHub-Copilot Practice Questions - Exam GitHub-Copilot Registration

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	Prompt Engineering: This section of the exam measures skills of AI Engineers and Software Developers and covers the fundamentals of prompt engineering, including key principles, techniques, and best practices for generating high-quality outputs. It explains different prompting strategies such as zero-shot and few-shot prompting, how context influences AI-generated responses, and the role of structured prompts in guiding Copilot's behavior. It also discusses the prompt lifecycle and ways to enhance model performance through refined input instructions.
Topic 2	Testing with GitHub Copilot: This section of the exam measures skills of QA Engineers and Test Automation Specialists and covers AI-assisted testing methodologies, including the generation of unit tests, integration tests, and edge case detection. It explains how GitHub Copilot improves test effectiveness by suggesting relevant assertions and boilerplate test cases. The section also discusses privacy considerations, organizational code suggestion settings, and best practices for configuring GitHub Copilot’s testing features.
Topic 3	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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GitHub CopilotCertification Exam Sample Questions (Q59-Q64):

NEW QUESTION # 59
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 automatically merges pull requests after an automated review.
C. It can validate the accuracy of the changes in the pull request.
D. It generates a prose summary and a bulleted list of key changes for pull requests.

Answer: A,D

Explanation:
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.

NEW QUESTION # 60
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 use practices and patterns in your repositories
D. Responses are guaranteed to be correct

Answer: C

Explanation:
Custom models in GitHub Copilot allow the tool to learn from the specific code patterns and practices within your repositories. This results in suggestions that are more aligned with your organization's coding standards and conventions, improving the relevance and accuracy of the generated code.

NEW QUESTION # 61
What is the main purpose of the duplication detection filter in GitHub Copilot?

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

Answer: C

Explanation:
The duplication detection filter checks any suggestion against public GitHub code - examining roughly 150 characters of generated code and its surrounding context - and blocks suggestions that match or closely resemble public snippets.

NEW QUESTION # 62
What is the correct sequence of steps to install GitHub Copilot CLI on a developer's system?

A. Install GitHub CLI, run "gh extension install github/gh-Copilot", and authenticate using gh auth loginright
B. Install VS Code, enable the Copilot extension, and clone a repository
C. Download GitHub Desktop, install Copilot from the marketplace, and log in with SSO
D. Run "npm install Copilot", create a GitHub repo, and configure settings

Answer: A

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 # 63
A team is using GitHub Copilot Individual in their daily development activities. They need to exclude specific files from being used to inform code completion suggestions. How can they achieve this?

A. Upgrade to Copilot Business
B. Use the #file Chat variable to exclude the files
C. Have an organization owner configure content exclusions
D. Have a repo administrator configure content exclusions
E. Add a .gitignore file to the repo

Answer: A

Explanation:
Content exclusion (the ability to block specific files from influencing Copilot's suggestions) isn't available on the Individual plan. You must be on a business‑level subscription - e.g. GitHub Copilot Business - to use content exclusion settings.

NEW QUESTION # 64
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