2026 GitHub-Copilot: GitHub CopilotCertification Exam–Reliable New Exam Review

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 4	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 5	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 (Q114-Q119):

NEW QUESTION # 114
When can GitHub Copilot still use content that was excluded using content exclusion?

A. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.
B. When the repository level settings allow overrides by the user.
C. When the user prompts with @workspace.
D. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.

Answer: A

Explanation:
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.

NEW QUESTION # 115
What type of information can you retrieve through GitHub Copilot Business Subscriptions via REST API? Each correct answer presents part of the solution. (Choose two.)

A. List of all unsubscribed GitHub Copilot members within an organization
B. View code suggestions for a specific user
C. List all GitHub Copilot seat assignments for an organization
D. Get a summary of GitHub Copilot usage for organization members

Answer: C,D

Explanation:
The REST API includes a List all Copilot seat assignments for an organization endpoint, which returns every active seat currently being billed for that org There's also a Get Copilot metrics for an organization endpoint that provides a summary of usage data across all organization members

NEW QUESTION # 116
What is the primary purpose of organization audit logs in GitHub Copilot Business?

A. To monitor code conflicts across repositories
B. To assign software licenses within the organization
C. To monitor administrator activities and actions within the organization
D. To track the number of lines of code suggested by Copilot

Answer: C

Explanation:
Organization audit logs in Copilot Business record administrator actions - such as policy changes and seat assignments - so you can review and verify who made what changes within your organization.

NEW QUESTION # 117
Which of the following are valid and commonly used commands while using GitHub Copilot in the CLI?

A. gh Copilot explain, gh Copilot suggest, gh Copilot extension listright
B. gh codegen, gh audit, gh summarize
C. gh Copilot status, gh Copilot init, git Copilot deploy
D. Copilot.run, Copilot.info, Copilot.chat

Answer: A

Explanation:
gh Copilot explain: Used to get the explanation of code or commands.
gh Copilot suggest: Ask Copilot to provide suggestions for performing a Task.
gh Copilot extension list: Displays all the available extensions and also indicates the proper installation of Copilot.
This set of commands can enable developers to interact with AI from the terminal in a seamless way.
Reference:
https://docs.github.com/en/Copilot/using-github-Copilot/using-github-Copilot-in-the-command-line

NEW QUESTION # 118
How does GitHub Copilot suggest code optimizations for improved performance?

A. By enforcing strict coding standards that ensure optimal performance.
B. By providing detailed reports on the performance of the codebase.
C. By analyzing the codebase and suggesting more efficient algorithms or data structures.
D. By automatically rewriting the codebase to use more efficient code.

Answer: C

Explanation:
GitHub Copilot suggests code optimizations by analyzing the codebase and recommending more efficient algorithms or data structures.

NEW QUESTION # 119
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