100% PASS YOUR GITHUB COPILOTCERTIFICATION EXAM GITHUB-COPILOT AT FIRST ATTEMPT WITH ACTUAL4CERT

100% Pass Your GitHub CopilotCertification Exam GitHub-Copilot at First Attempt with Actual4Cert

100% Pass Your GitHub CopilotCertification Exam GitHub-Copilot at First Attempt with Actual4Cert

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GitHub GitHub-Copilot Exam Syllabus Topics:

TopicDetails
Topic 1
  • GitHub Copilot Plans and FeaturesThis section of the exam measures the skills of Software Engineers and IT Administrators and covers different GitHub Copilot plans, including Individual, Business, and Enterprise editions. It explains the integration of GitHub Copilot within IDEs and discusses key features such as inline chat, multiple suggestions, and exception handling. The section details the policies for managing GitHub Copilot within organizations, including auditing logs and API management. It also highlights advanced functionalities like knowledge bases for improved code quality and best practices for Copilot Chat usage.
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 (Q14-Q19):

NEW QUESTION # 14
What are the potential risks associated with relying heavily on code generated from GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

  • A. GitHub Copilot's suggestions may not always reflect best practices or the latest coding standards.
  • B. GitHub Copilot may introduce security vulnerabilities by suggesting code with known exploits.
  • C. GitHub Copilot may decrease developer velocity by requiring too much time in prompt engineering.
  • D. GitHub Copilot may increase development lead time by providing irrelevant suggestions.

Answer: A,B

Explanation:
Heavy reliance on GitHub Copilot can introduce security vulnerabilities if the generated code contains known exploits. Additionally, Copilot's suggestions may not always align with best practices or the latest standards, requiring careful review and validation.


NEW QUESTION # 15
Why might a Generative AI (Gen AI) tool create inaccurate outputs?

  • A. The Gen AI tool is programmed with a focus on creativity over factual accuracy.
  • B. The training data might contain biases or inconsistencies.
  • C. The Gen AI tool is experiencing downtime and is not fully recovered.
  • D. The Gen AI tool is overloaded with too many requests at once.

Answer: B

Explanation:
Gen AI tools can produce inaccurate outputs if the training data contains biases or inconsistencies, which can lead to flawed or misleading results.


NEW QUESTION # 16
When can GitHub Copilot still use content that was excluded using content exclusion?

  • A. When the repository level settings allow overrides by the user.
  • B. When the user prompts with @workspace.
  • C. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.
  • D. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.

Answer: C

Explanation:
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.


NEW QUESTION # 17
How does GitHub Copilot Chat help in understanding the existing codebase?

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

Answer: B

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 # 18
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

  • A. GitHub Copilot will automatically correct any statistical errors found in the user's initial code.
  • B. GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.
  • C. GitHub Copilot can design new statistical methods that have not been previously documented.
  • D. GitHub Copilot can independently verify the statistical significance of results.

Answer: B

Explanation:
Developers should consider that GitHub Copilot's suggestions are based on statistical trends and may not always be accurate for specific datasets, requiring careful validation.


NEW QUESTION # 19
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