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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
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	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.

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GitHub CopilotCertification Exam Sample Questions (Q14-Q19):

NEW QUESTION # 14
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)

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

Answer: A,C

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

NEW QUESTION # 15
What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?

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

Answer: C

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 # 16
Which REST API endpoint is used to modify details about a GitHub Copilot Business subscription? (Each correct answer presents part of the solution. Choose two.)

A. Add teams to the Copilot subscription for an organization
B. Remove teams from the Copilot subscription for an organization
C. Upgrade or downgrade the subscription tier
D. Migrate Copilot seat assignments between GitHub organizations
E. Reassign Copilot seats based on GitHub repository size

Answer: A,B

Explanation:
The REST API endpoints are used to add and remove teams from the Copilot Business subscription within an organization.

NEW QUESTION # 17
Where is the proxy service hosted?

A. Amazon Web Service
B. Self hosted
C. Microsoft Azure
D. Google Cloud Platform

Answer: C

Explanation:
The proxy service for GitHub Copilot is hosted on Microsoft Azure.

NEW QUESTION # 18
How can the concept of fairness be integrated into the process of operating an AI tool?

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

Answer: C

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 # 19
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GitHub CopilotCertification Exam Sample Questions (Q14-Q19):

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