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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	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	How GitHub Copilot Works and Handles DataThis 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 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	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 (Q62-Q67):

NEW QUESTION # 62
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)

A. By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."
B. By using the "/fix" command in GitHub Copilot in-line chat.
C. By running the gh copilot fix command.
D. By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."
E. By adding comments to your code and triggering a suggestion.

Answer: D,E

Explanation:
You can use GitHub Copilot for inline refactoring suggestions by adding comments to your code to trigger suggestions and by highlighting the code and selecting "Refactor using GitHub Copilot" from the context menu.

NEW QUESTION # 63
How can GitHub Copilot assist developers during the requirements analysis phase of the Software Development Life Cycle (SDLC)?

A. By providing templates and code snippets that help in documenting requirements.
B. By managing stakeholder communication and meetings.
C. By identifying and fixing potential requirement conflicts when using /help.
D. By automatically generating detailed requirements documents.

Answer: A

Explanation:
GitHub Copilot can assist during the requirements analysis phase by providing templates and code snippets that aid in documenting requirements. This helps streamline the process of capturing and organizing project requirements.

NEW QUESTION # 64
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)

A. Free (not billed) for all open source projects
B. Monthly, as a metered service based on actual consumption
C. Annually as a subscription
D. Monthly as a subscription

Answer: C,D

Explanation:
GitHub Copilot Individual is billed as a monthly or annual subscription.

NEW QUESTION # 65
What is the process behind identifying public code matches when using a public code filter enabled in GitHub Copilot?

A. Comparing suggestions against public code using machine learning.
B. Reviewing the user's browsing history to identify public repositories
C. Running code suggestions through filters designed to detect public code
D. Analyzing the context and structure of the code being written

Answer: C

Explanation:
When the public code filter is enabled, GitHub Copilot runs code suggestions through filters designed to detect matches with publicly available code. This helps prevent the generation of code that might infringe on copyright or licensing agreements.

NEW QUESTION # 66
Which of the following is correct about GitHub Copilot Knowledge Bases?

A. All file types are indexed
B. All repos are indexed
C. It is an Enterprise feature
D. Indexing is static

Answer: C

Explanation:
GitHub Copilot Knowledge Bases is an Enterprise feature that allows the tool to use an organization's internal documentation and code for more accurate and relevant suggestions.

NEW QUESTION # 67
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