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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	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.
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	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.

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GitHub CopilotCertification Exam Sample Questions (Q108-Q113):

NEW QUESTION # 108
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

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

Answer: D

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

NEW QUESTION # 109
Which scenarios can GitHub Copilot Chat be used to increase productivity? Each correct answer presents part of the solution. (Choose two.)

A. A developer is added to a new project and would like to understand the current software code.
B. A project plan for the team needs to be generated using a project management software.
C. Create a documentation file for the newly created code base.
D. Fast tracking of release management activities to move code to production main branch.

Answer: A,C

Explanation:
GitHub CopilotꢀChat can draft documentation directly from your code's structure and comments, and it can walk a new team member through existing code by summarizing and explaining its components, thereby boosting onboarding efficiency and overall productivity.

NEW QUESTION # 110
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. Knowledge Base
B. Chat
C. Pull Request Diff Analysis
D. Code suggestions

Answer: B,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 # 111
What do you check when GitHub Copilot content exclusions are not working? Each correct answer presents part of the solution. (Choose two.)

A. If the user is part of the content exclusion team that limits the use of content exclusions.
B. If the content exclusion settings changed in the last 30 minutes or before that.
C. If GitHub Copilot can connect to the server selected in your user settings.
D. If the user is in an organization that has content exclusions configured.

Answer: B,D

Explanation:
Verify that the user belongs to an organization (or enterprise) where content exclusion rules have actually been set up.
Check whether the exclusion policy was recently modified - changes can take up to 30ꢀminutes to propagate before they take effect.

NEW QUESTION # 112
Why is it important to ensure the security of the code used in Generative AI (Gen AI) tools?

A. Ensuring code security enables the AI system to handle larger datasets effectively.
B. Ensuring code security maintains the integrity of the AI system.
C. Ensuring code security prevents unauthorized access and potential data breaches.
D. Ensuring code security supports the development of more advanced AI features.

Answer: C

Explanation:
Securing the code in GenꢀAI tools is critical to prevent unauthorized access to the system or its data, which could lead to sensitive information leaks or full-scale data breaches.

NEW QUESTION # 113
......

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