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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
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.
Topic 4	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 5	Responsible AI: This section of the exam measures the skills of AI Ethics Analysts and AI Developers and covers the principles of responsible AI usage, the risks associated with AI, and the limitations of generative AI tools. It includes the importance of validating AI-generated outputs and operating AI systems responsibly. It also explores potential harms such as bias, privacy concerns, and fairness issues, along with methods to mitigate these risks. The ethical considerations of AI development and deployment are also discussed.
Topic 6	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 (Q70-Q75):

NEW QUESTION # 70
You are using GitHub Copilot under an Individual plan within Visual Studio Code. Which of the following is a core feature available to you under this plan?

A. Integration with GitHub Enterprise Server (GHE)
B. Context-aware code suggestions while typingright
C. Access to centralized Knowledge Bases across your company
D. Organization-wide policy settings and audit logs

Answer: B

Explanation:
GitHub Copilot Individual offers context-aware suggestions directly in the IDE, helping developers by predicting and completing code based on the current file and surrounding context.
Reference:
https://learn.microsoft.com/en-us/training/modules/introduction-to-github-Copilot/2-github-Copilot-your-ai-pair-programmer

NEW QUESTION # 71
Which of the following steps correctly demonstrates how to establish an organization-wide policy for GitHub Copilot Business to restrict its use to certain repositories?

A. Configure the policies in the organization settings
B. Create a copilot.policy in the .github repository
C. Apply policies through the GitHub Actions configuration
D. Create a copilot.policy file in each repository

Answer: A

Explanation:
Organization-wide Copilot Business policies are set up in your GitHub organization's settings, where you can specify exactly which repositories are allowed or blocked for Copilot access.

NEW QUESTION # 72
Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)

A. "Show me how to improve the readability of this function."
B. "Refactor my application to meet the latest coding standards."
C. "Suggest ways to enhance the maintainability of this code segment."
D. "Predict future coding trends and update my codebase accordingly."

Answer: A,C

Explanation:
Effective prompts for refactoring include requests that focus on specific quality improvements, such as readability and maintainability. These prompts guide GitHub Copilot to provide relevant and actionable suggestions.

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, Copilot can only be used with GitHub repositories
C. Yes, by using GitHub Copilot for business, they can integrate GitHub Copilot with non-GitHub- hosted repositoriesright
D. No, GitHub Copilot for CLI can only work with GitHub-hosted projects

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
What is the correct way to access the audit log events for GitHub Copilot Business?

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

Answer: A

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 # 75
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