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[General] Reliable GitHub-Copilot Test Experience, GitHub-Copilot Exam Brain Dumps

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【General】 Reliable GitHub-Copilot Test Experience, GitHub-Copilot Exam Brain Dumps

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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
  • 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.
Topic 4
  • 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 (Q35-Q40):NEW QUESTION # 35
How does GitHub Copilot Chat ensure that a function works correctly?
  • A. By automatically writing all the tests for the function.
  • B. By writing the implementation code for the function.
  • C. By suggesting assertions based on the code's context and semantics.
  • D. By executing the test cases to validate the correctness of the code.
Answer: C
Explanation:
GitHub Copilot Chat can suggest assertions based on the code's context and semantics to help developers verify the correctness of their functions. These assertions serve as checks that the function behaves as expected under various conditions.

NEW QUESTION # 36
How does GitHub Copilot Chat help in understanding the existing codebase?
  • A. By answering questions about the code and generating explanations.
  • B. By running code linters and formatters.
  • C. By providing visual diagrams of the code structure.
  • D. By automatically refactoring code to improve readability.
Answer: A
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 # 37
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?
  • A. Fairness
  • B. Transparency
  • C. Inclusiveness
  • D. Accountability
Answer: B
Explanation:
The principle of transparency emphasizes that AI systems should be understandable and provide clear information about their operations. This ensures that users can understand how the AI arrivesat its decisions and suggestions.

NEW QUESTION # 38
An independent contractor develops applications for a variety of different customers. Assuming no concerns from their customers, which GitHub Copilot plan is best suited?
  • A. GitHub Copilot Teams
  • B. GitHub Copilot Business for non-GHE Customers
  • C. GitHub Copilot Enterprise
  • D. GitHub Copilot Business
  • E. GitHub Copilot Individual
Answer: E
Explanation:
For an independent contractor, GitHub Copilot Individual is the most suitable and cost-effective plan.

NEW QUESTION # 39
GitHub Copilot in the Command Line Interface (CLI) can be used to configure the following settings: (Each correct answer presents part of the solution. Choose two.)
  • A. GitHub CLI subcommands
  • B. Usage analytics
  • C. The default execution confirmation
  • D. The default editor
Answer: B,C
Explanation:
GitHub Copilot in the CLI allows configuration of settings such as the default execution confirmation and usage analytics. These settings help tailor the CLI experience to the user's preferences.

NEW QUESTION # 40
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