LATEST GITHUB-COPILOT EXAM PRACTICE | GITHUB-COPILOT DUMPS

Latest GitHub-Copilot Exam Practice | GitHub-Copilot Dumps

Latest GitHub-Copilot Exam Practice | GitHub-Copilot Dumps

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Tags: Latest GitHub-Copilot Exam Practice, GitHub-Copilot Dumps, Question GitHub-Copilot Explanations, Accurate GitHub-Copilot Test, GitHub-Copilot Practice Online

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GitHub GitHub-Copilot Exam Syllabus Topics:

TopicDetails
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
  • 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 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.
Topic 4
  • 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.

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GitHub CopilotCertification Exam Sample Questions (Q29-Q34):

NEW QUESTION # 29
Select a strategy to increase the performance of GitHub Copilot Chat.

  • A. Use a single GitHub Copilot Chat query to find resolutions for the collection of technical requirements
  • B. Limit the number of concurrent users accessing GitHub Copilot Chat
  • C. Optimize the usage of memory-intensive operations within generated code
  • D. Apply prompt engineering techniques to be more specific

Answer: D

Explanation:
Applying prompt engineering techniques to be more specific is the best strategy to increase the performance and relevance of GitHub Copilot Chat's responses.


NEW QUESTION # 30
What are the effects of content exclusions? (Each correct answer presents part of the solution. Choose two.)

  • A. The IDE will not count coding suggestions in the excluded content.
  • B. The excluded content is no longer used while debugging the code.
  • C. The excluded content is not directly available to GitHub Copilot to use as context.
  • D. GitHub Copilot suggestions are no longer available in the excluded files.

Answer: C,D

Explanation:
Content exclusions prevent GitHub Copilot from using the excluded content as context and stop suggestions from being generated in those files.


NEW QUESTION # 31
What is the primary role of the /optimize slash command in Visual Studio?

  • A. Automatically formats the code according to the selected style guide.
  • B. Summarizes your documentation into more maintainable and readable formats.
  • C. Enhances the performance of the selected code by analyzing its runtime complexity.
  • D. Translates code into a more performant language.

Answer: C

Explanation:
The /optimize slash command in Visual Studio enhances the performance of the selected code by analyzing its runtime complexity and suggesting improvements.


NEW QUESTION # 32
How does GitHub Copilot suggest code optimizations for improved performance?

  • A. By enforcing strict coding standards that ensure optimal performance.
  • B. By analyzing the codebase and suggesting more efficient algorithms or data structures.
  • C. By providing detailed reports on the performance of the codebase.
  • D. By automatically rewriting the codebase to use more efficient code.

Answer: B

Explanation:
GitHub Copilot suggests code optimizations by analyzing the codebase and recommending more efficient algorithms or data structures.


NEW QUESTION # 33
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?

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

Answer: A

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


NEW QUESTION # 34
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