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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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.

GitHub CopilotCertification Exam Sample Questions (Q47-Q52):

NEW QUESTION # 47
What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?

A. Suggestions matching public code to 'blocked'
B. Enable GitHub Copilot license checking
C. You need to check code suggestions yourself before accepting
D. Enforce blocking of MIT or GPL licensed code

Answer: A

Explanation:
To help protect against IP infringement, you need to configure GitHub Copilot to block suggestions that match public code. This ensures that the generated code is not directly copied from publicly available sources.

NEW QUESTION # 48
How can the concept of fairness be integrated into the process of operating an AI tool?

A. Focusing on collecting large datasets for training will ensure fairness.
B. Regularly monitoring the AI tool's performance will ensure fairness in its outputs.
C. Focusing on accessibility will ensure fairness.
D. Training AI data and algorithms to be free from biases will ensure fairness.

Answer: D

Explanation:
Fairness in AI tools is achieved by training the data and algorithms to be free from biases. This ensures that the tool treats all users equitably and avoids discriminatory outcomes.

NEW QUESTION # 49
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

A. Provide insight on where to get the content from to get a response
B. Provide all information about the utilized files
C. Provide links to supporting documentation
D. Provide specific success criteria

Answer: C,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 # 50
What is a limitation of content exclusions?

A. Content exclusions are only available in the GitHub Copilot Individual plan.
B. Repository administrators and organization owners cannot manage content exclusion settings.
C. Content exclusions can be worked around as it is only available for Git repositories.
D. Content exclusions can only be configured by an enterprise administrator.

Answer: C

Explanation:
A limitation is that content exclusions are only available for Git repositories, meaning they can be worked around if content is accessed through other means.

NEW QUESTION # 51
Which of the following is a risk associated with using AI?

A. AI eliminates the need for data privacy regulations.
B. AI algorithms are incapable of perpetuating existing biases.
C. AI replaces the need for developer opportunities in most fields.
D. AI systems can sometimes make decisions that are difficult to interpret.

Answer: D

Explanation:
A risk associated with AI is that its decisions can be difficult to interpret, leading to a lack of transparency and potential misunderstandings.

NEW QUESTION # 52
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