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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 5	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.

Reference: https://examregistration.github.com/certification/COPILOT

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GitHub CopilotCertification Sample Questions:

Question #1

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

Reveal Solution Discussion 0

Correct Answer: A,D 🗳️

Question #2

What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)

A. Clearly defining the problem or task
B. Use a .gitignore file to exclude irrelevant files
C. Providing examples of desired output
D. Including personal information in the code comments
E. Using meaningful variable names

Reveal Solution Discussion 0

Correct Answer: A,C,E 🗳️

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Question #3

In what ways can GitHub Copilot contribute to the design phase of the Software Development Life Cycle (SDLC)?

A. GitHub Copilot can manage design team collaboration and version control.
B. GitHub Copilot can suggest design patterns and best practices relevant to the project.
C. GitHub Copilot can generate user interface (UI) prototypes without prompting.
D. GitHub Copilot can independently create a complete software design.

Reveal Solution Discussion 0

Correct Answer: B 🗳️

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Question #4

When can GitHub Copilot still use content that was excluded using content exclusion?

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

Reveal Solution Discussion 0

Correct Answer: B 🗳️

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Question #5

Your organization wants GitHub Copilot Enterprise to suggest code based on internal coding practices and documentation. Which of the following features should be configured to allow Copilot to access and utilize organization-specific content?