Free GitHub GitHub-Copilot Questions

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GitHub GitHub-Copilot Exam Syllabus Topics:

Section	Weight	Objectives
GitHub Copilot Data, Privacy, and Architecture		- Data handling and privacy safeguards 1. Content exclusions and enterprise controls 2. Data usage and retention considerations
GitHub Copilot Plans and Features	31%	- Core Copilot features 1. CLI and multi-suggestion workflows 2. Inline code suggestions 3. Chat-based assistance - Copilot plans comparison 1. Copilot Individual vs Business vs Enterprise 2. IDE integration and Copilot Chat usage
Responsible AI	7%	- Explain responsible usage of AI 1. Validating AI-generated output 2. Risks and limitations of generative AI 3. Ethical AI practices and mitigation of harm 4. Bias, privacy, security, and transparency considerations
Prompt Engineering and Context Crafting		- Effective prompting techniques 1. Context optimization for code generation 2. Zero-shot and few-shot prompting
Developer Productivity with Copilot		- Workflow optimization 1. Using Copilot in IDE workflows 2. Debugging and code completion enhancement

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GitHub CopilotCertification Exam Sample Questions (Q10-Q15):

NEW QUESTION # 10
What are the effects of content exclusions? (Each correct answer presents part of the solution.
Choose two.)

A. The excluded content is not directly available to GitHub Copilot to use as context.
B. The excluded content is no longer used while debugging the code.
C. The IDE will not count coding suggestions in the excluded content.
D. GitHub Copilot suggestions are no longer available in the excluded files.

Answer: A,D

Explanation:
Content exclusions prevent GitHub Copilot from using the excluded content as context and stop suggestions from being generated in those files.

NEW QUESTION # 11
How can GitHub Copilot facilitate a smoother learning experience when diving into a new programming language? (Each correct answer presents part of the solution. Choose two.)

A. GitHub Copilot's /understand command will help GitHub Copilot to understand code written in a targeted programming language.
B. GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.
C. GitHub Copilot Chat can provide guidance and support for common coding tasks and challenges in the targeted programming language.
D. GitHub Copilot can convert comments into code to grasp the syntax and nuances of a new programming language.

Answer: C,D

Explanation:
GitHub Copilot helps with learning new languages by providing guidance on common tasks and by converting comments into code, allowing developers to see syntax in action.

NEW QUESTION # 12
Which of the following is the correct way to access the audit log events for GitHub Copilot Business?

A. Navigate to the Insights tab in the repository settings
B. Use the Audit log section in the organization's GitHub settings
C. Navigate to the Security tab in the organization's GitHub settings
D. Use the Code tab in the GitHub repository

Answer: B

Explanation:
Audit log events for GitHub Copilot Business can be accessed through the Audit log section within the organization's GitHub settings. This log provides a record of activities related to Copilot usage and configuration.

NEW QUESTION # 13
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

A. Changes to content exclusion settings
B. Code suggestions made by GitHub Copilot
C. Accepted chat suggestions
D. Suggestions blocked by duplication detection filtering

Answer: A

Explanation:
Organization audit logs track changes to content exclusion settings, providing administrators with visibility into configuration changes.

NEW QUESTION # 14
What is used by GitHub Copilot in the IDE to determine the prompt context?

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

Answer: D

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 # 15
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