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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	Privacy Fundamentals and Context Exclusions: This section of the exam measures skills of Cybersecurity Specialists and Compliance Officers and covers privacy safeguards and content exclusion settings in GitHub Copilot. It explains how Copilot can identify security vulnerabilities, suggest optimizations, and enforce secure coding practices. It also includes details on content ownership, data filtering mechanisms, and exclusion configurations. The section concludes with troubleshooting guidelines for managing context exclusions and ensuring compliance with organizational security policies.
Topic 2	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.
Topic 3	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 4	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-Copilot Exam Questions, GitHub-Copilot study materials. GitHub CopilotCertification Exam

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GitHub CopilotCertification Exam Sample Questions (Q82-Q87):

NEW QUESTION # 82
A company is currently storing code in Bitbucket and would like to use GitHub Copilot. Which GitHub Copilot plan will be most cost effective to allow them to manage users with their Identity Provider (e.g. Okta)?

A. GitHub Copilot Business for non-GHE customers
B. GitHub Copilot Individual
C. GitHub Copilot Enterprise
D. GitHub Copilot Teams

Answer: C

Explanation:
GitHub Copilot Enterprise is the most cost-effective plan for managing users with an Identity Provider like Okta, as it provides enterprise-level features and integration.

NEW QUESTION # 83
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. Sexually suggestive or explicit content
B. Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)
C. Code that contains logical errors or produces unexpected results
D. Code comments containing strong opinions or criticisms

Answer: A,B

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 # 84
What is one of the recommended practices when using GitHub Copilot Chat to enhance code quality?

A. Disable Copilot's inline suggestions.
B. Rely solely on Copilot's suggestions without reviewing them.
C. Regularly review and refactor the code suggested by Copilot.
D. Avoid using Copilot for complex tasks.

Answer: C

Explanation:
Regularly reviewing and refactoring Copilot's output helps ensure that generated code adheres to your project's quality standards and catches any issues early.

NEW QUESTION # 85
What are the potential limitations of GitHub Copilot Chat? (Each correct answer presents part of the solution.
Choose two.)

A. No biases in code suggestions
B. Limited training data
C. Ability to handle complex code structures
D. Extensive support for all programming languages

Answer: B,D

Explanation:
GitHub Copilot Chat has limitations such as limited training data, which can affect the accuracy of its suggestions, and it does not provide extensive support for all programming languages.

NEW QUESTION # 86
Which Copilot Individual features are available when using a supported extension for Visual Studio, VS Code, or JetBrains IDEs? (Each correct answer presents part of the solution. Choose two.)

A. Code suggestions
B. Knowledge Base
C. Pull Request Diff Analysis
D. Chat

Answer: A,D

Explanation:
GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.

NEW QUESTION # 87
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