Latest Updated GitHub-Copilot Exam Flashcards | Newest Practice Test GitHub-Copilot Fee: GitHub CopilotCertification Exam

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GitHub GitHub-Copilot Exam Syllabus Topics:

Section	Weight	Objectives
Prompt Crafting and Prompt Engineering	9%–15%	- Iterative improvement and context management - Designing effective prompts
Developer Use Cases for AI	14%–20%	- Code generation and completion - Refactoring, documentation, and testing - Integration with IDEs and workflows
How GitHub Copilot Works and Handles Data	10%–15%	- Architecture and underlying technology - Context collection and privacy controls - Data processing, retention, and usage policies
Testing with GitHub Copilot	9%–15%	- Verifying output quality and correctness - Generating tests and validation
Privacy Fundamentals and Context Exclusions	15%–20%	- Protecting sensitive information - Configuring context exclusion rules
GitHub Copilot Plans and Features	25%–31%	- Free, Pro, Business, Enterprise plans - Feature comparison and capabilities - Configuration and settings
Responsible AI	7%–20%	- Legal and compliance considerations - Ethical and safe use of AI tools

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GitHub CopilotCertification Exam Sample Questions (Q67-Q72):

NEW QUESTION # 67
Identify the steps involved in the life cycle of a GitHub Copilot code suggestion? Each correct answer presents part of the solution. (Choose two.)

A. Processing telemetry data
B. Retraining the model
C. Storing user data
D. Capturing the user's context
E. Generate suggestions

Answer: D,E

Explanation:
GitHub Copilot begins by capturing your current editing context - such as surrounding code, comments, and cursor position - and then feeds that into its AI model to generate code suggestions tailored to what you're working on.

NEW QUESTION # 68
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: Not retained
C. User Engagement Data: Kept for Two Years
D. Prompts and Suggestions: Retained for 28 days

Answer: C,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 # 69
How does GitHub Copilot Enterprise assist in code reviews during the pull request process?
(Select two.)

A. It automatically merges pull requests after an automated review.
B. It can validate the accuracy of the changes in the pull request.
C. It generates a prose summary and a bulleted list of key changes for pull requests.
D. It can answer questions about the changeset of the pull request.

Answer: C,D

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

NEW QUESTION # 70
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. Download GitHub Desktop, install Copilot from the marketplace, and log in with SSO
C. Install GitHub CLI, run "gh extension install github/gh-Copilot", and authenticate using gh auth loginright
D. Run "npm install Copilot", create a GitHub repo, and configure settings

Answer: C

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 # 71
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 # 72
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