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GitHub GitHub-Copilot Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 (Q106-Q111):

NEW QUESTION # 106
How long does it take content exclusion to add or be updated?

Answer: D

Explanation:
Content exclusions typically take up to 30 minutes to be added or updated.


NEW QUESTION # 107
Which of the following principles are most closely aligned with ethical AI practices? (Select THREE)

Answer: C,D,E

Explanation:
TRANSPARENCY is a key component of ethical AI. It ensures stakeholders can trace how AI makes decisions and be accountable for suggestions that it generates.
PRIVACY and SECURITY are essential for protecting the sensitive user information and ensuring AI systems are secure and also respects the user's privacy.
Promoting FAIRNESS and reducing bias helps prevent discrimination and welcomes people from all groups of society without considering any kind of differentiators.
Reference:
https://learn.microsoft.com/en-us/training/modules/responsible-ai-with-github-copilot/3-six-principles-of-responsible-ai


NEW QUESTION # 108
What are the effects of content exclusions? (Each correct answer presents part of the solution. Choose two.)

Answer: A,C

Explanation:
Content exclusions prevent GitHub Copilot from using the excluded content as context and stop suggestions from being generated in those files.


NEW QUESTION # 109
What are the potential limitations of GitHub Copilot Chat? (Each correct answer presents part of the solution. Choose two.)

Answer: B,D

Explanation:
GitHub Copilot Chat has limitations such as limited training data, which can affect the accuracy of its suggestions, and it does not provide extensive support for all programming languages.


NEW QUESTION # 110
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)

Answer: A,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 # 111
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