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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	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 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.

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GitHub CopilotCertification Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
In what ways can GitHub Copilot support a developer during the code refactoring process? Each correct answer presents part of the solution. (Choose two.)

A. By autonomously refactoring entire codebases to the latest programming language.
B. By providing suggestions for improving code readability and maintainability based on best practices.
C. By independently ensuring compliance with regulatory standards across industries.
D. By offering code transformation examples that enhance performance and reduce complexity.

Answer: B,D

Explanation:
Copilot analyzes your code and suggests refactorings that improve readability and maintainability by applying established best practices.
It can propose alternative code patterns that reduce complexity and boost performance through targeted transformations.

NEW QUESTION # 21
How does GitHub Copilot Chat ensure that a function works correctly?

A. By executing the test cases to validate the correctness of the code.
B. By writing the implementation code for the function.
C. By automatically writing all the tests for the function.
D. By suggesting assertions based on the code's context and semantics.

Answer: D

Explanation:
GitHub Copilot Chat can suggest assertions based on the code's context and semantics to help developers verify the correctness of their functions. These assertions serve as checks that the function behaves as expected under various conditions.

NEW QUESTION # 22
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 GitHub Copilot can connect to the server selected in your user settings.
C. If the user is in an organization that has content exclusions configured.
D. If the content exclusion settings changed in the last 30 minutes or before that.

Answer: C,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 # 23
Which of the following are valid and commonly used commands while using GitHub Copilot in the CLI?

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

Answer: B

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 # 24
What reasons could apply if code suggestions are not working in your editor? (Choose three.)

A. You are working in files included in your .gitignore
B. You do not have an active internet connection
C. Your content exclusion is active and blocks the use of GitHub Copilot
D. You do not have a valid GitHub Copilot license
E. Your programming language is not supported

Answer: B,D,E

Explanation:
Without an active internet connection, Copilot cannot reach its service to fetch suggestions.
If you're editing in a language that Copilot doesn't support, it won't produce completions.
An invalid or expired Copilot license will prevent any suggestions from appearing.

NEW QUESTION # 25
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