PRACTICE GITHUB-COPILOT EXAM FEE - GITHUB-COPILOT EXAM DUMPS PROVIDER

Practice GitHub-Copilot Exam Fee - GitHub-Copilot Exam Dumps Provider

Practice GitHub-Copilot Exam Fee - GitHub-Copilot Exam Dumps Provider

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GitHub CopilotCertification Exam Sample Questions (Q27-Q32):

NEW QUESTION # 27
1.
blog.yatricloud.com
blog.yatricloud.com

  • A. The API can provide feedback on coding style and standards compliance.
  • B. The API can generate detailed reports on code quality improvements made by GitHub Copilot.
  • C. The API can provide Copilot Chat specific suggestions acceptance metrics.
  • D. The API can track the acceptance rate of code suggestions accepted and used in the organization.
  • E. The API can refactor your code to improve productivity.

Answer: C,D

Explanation:
The GitHub Copilot usage metrics API provides insights into the acceptance rate of code suggestions and Copilot Chat specific suggestions acceptance metrics, helping organizations evaluate its effectiveness.


NEW QUESTION # 28
Which of the following statements best describes the impact of GitHub Copilot on the software development process?

  • A. It reduces overhead by automating testing workflows.
  • B. It replaces the need for developers in the software development process.
  • C. It decreases software vulnerabilities from third party dependencies.
  • D. It increases productivity by automating repetitive coding tasks.

Answer: D

Explanation:
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.


NEW QUESTION # 29
How does GitHub Copilot Chat help in understanding the existing codebase?

  • A. By automatically refactoring code to improve readability.
  • B. By providing visual diagrams of the code structure.
  • C. By answering questions about the code and generating explanations.
  • D. By running code linters and formatters.

Answer: C

Explanation:
GitHub Copilot Chat helps in understanding existing codebases by answering questions about the code and generating explanations. This allows developers to quickly grasp the functionality and structure of unfamiliar code.


NEW QUESTION # 30
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

  • A. Fairness
  • B. Inclusiveness
  • C. Reliability and Safety
  • D. Privacy and Security

Answer: A

Explanation:
The principle of fairness ensures that AI systems treat all people equally and avoid discriminatory outcomes.


NEW QUESTION # 31
How can the concept of fairness be integrated into the process of operating an AI tool?

  • A. Regularly monitoring the AI tool's performance will ensure fairness in its outputs.
  • 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. Focusing on accessibility will ensure fairness.

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 # 32
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