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GitHub GitHub-Copilot Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 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 (Q15-Q20):

NEW QUESTION # 15
Which of the following are valid and commonly used commands while using GitHub Copilot in the CLI?

Answer: C

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 # 16
Which of the following steps correctly demonstrates how to establish an organization-wide policy for GitHub Copilot Business to restrict its use to certain repositories?

Answer: D

Explanation:
Organization-wide Copilot Business policies are set up in your GitHub organization's settings, where you can specify exactly which repositories are allowed or blocked for Copilot access.


NEW QUESTION # 17
Which GitHub Copilot plan could an Azure DevOps organization use without requiring a GitHub Enterprise license?

Answer: C

Explanation:
The GitHub Copilot Business plan (branded for use with Azure DevOps) works on any DevOps platform - including Azure DevOps - without needing a GitHub Enterprise Cloud subscription. This lets organizations use Copilot's AI assistance in their existing Azure DevOps workflows without purchasing a GitHub Enterprise license.


NEW QUESTION # 18
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

Answer: B,D

Explanation:
Improving prompts involves providing specific success criteria and including links to supporting documentation to give GitHub Copilot more context and direction.


NEW QUESTION # 19
What caution should developers exercise when using GitHub Copilot for assistance with mathematical computations?

Answer: C

Explanation:
GitHub Copilot generates code by pattern-matching on its training data and doesn't execute or validate calculations, so you must always verify any mathematical results it produces.


NEW QUESTION # 20
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