GITHUB GITHUB-COPILOT CERTIFICATION EXAM COST | LATEST GITHUB-COPILOT EXAM REGISTRATION

GitHub GitHub-Copilot Certification Exam Cost | Latest GitHub-Copilot Exam Registration

GitHub GitHub-Copilot Certification Exam Cost | Latest GitHub-Copilot Exam Registration

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Tags: GitHub-Copilot Certification Exam Cost, Latest GitHub-Copilot Exam Registration, Valid Dumps GitHub-Copilot Book, Exam GitHub-Copilot Voucher, Latest GitHub-Copilot Exam Cram

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GitHub GitHub-Copilot Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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.
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 (Q10-Q15):

NEW QUESTION # 10
What practices enhance the quality of suggestions provided by GitHub Copilot? (Select three.)

  • A. Including personal information in the code comments
  • B. Use a .gitignore file to exclude irrelevant files
  • C. Providing examples of desired output
  • D. Using meaningful variable names
  • E. Clearly defining the problem or task

Answer: C,D,E

Explanation:
The quality of Copilot's suggestions is enhanced by clearly defining the task, using meaningful variable names, and providing examples of the desired output.


NEW QUESTION # 11
How can GitHub Copilot assist developers during the requirements analysis phase of the Software Development Life Cycle (SDLC)?

  • A. By providing templates and code snippets that help in documenting requirements.
  • B. By automatically generating detailed requirements documents.
  • C. By managing stakeholder communication and meetings.
  • D. By identifying and fixing potential requirement conflicts when using /help.

Answer: A

Explanation:
GitHub Copilot can assist during the requirements analysis phase by providing templates and code snippets that aid in documenting requirements. This helps streamline the process of capturing and organizing project requirements.


NEW QUESTION # 12
How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)

  • A. Prompts and Suggestions: Retained for 28 days
  • B. User Engagement Data: Kept for One Year
  • C. Prompts and Suggestions: Not retained
  • D. User Engagement Data: Kept for Two Years

Answer: A,D

Explanation:
For GitHub Copilot Business and Enterprise, prompts and suggestions are retained for 28 days to provide context and improve the service. User engagement data, which includes usage patterns and interactions, is kept for two years. This data retention policy is designed to balance service improvement with user privacy.


NEW QUESTION # 13
What method can be used to interact with GitHub Copilot?

  • A. By using a properly configured GitHub CLI
  • B. By using chat capabilities in NeoVim
  • C. From a web browser at https://github.copilot.com
  • D. From a watch window in an IDE debug session

Answer: B

Explanation:
GitHub Copilot is an AI-powered code completion tool that integrates directly into supported Integrated Development Environments (IDEs) and code editors, such as Visual Studio Code, JetBrains IDEs, NeoVim, and others. Developers interact with it through their coding environment, where it provides real-time code suggestions, autocompletions, and (in some cases) chat-like capabilities via extensions or plugins (e.g., GitHub Copilot Chat in supported editors).
Evaluation of Options:
* A. By using a properly configured GitHub CLIThe GitHub CLI (Command Line Interface) is a tool for interacting with GitHub repositories and workflows from the terminal, but it is not a method for interacting with GitHub Copilot. Copilot operates within code editors/IDEs, not through the CLI.
Incorrect.
* B. By using chat capabilities in NeoVimThis is partially correct. GitHub Copilot can be used in NeoVim with the appropriate plugin (e.g., the Copilot.vim plugin), and GitHub Copilot Chat-a feature that allowsconversational interaction-may also be available depending on the setup and version.
However, "chat capabilities in NeoVim" alone is not the primary or standard way to describe Copilot interaction, as it's more about code suggestions than chat. This is the closest option but not perfectly precise.Partially correct.
* C. From a watch window in an IDE debug sessionThe "watch window" in an IDE is used during debugging to monitor variable values, not to interact with GitHub Copilot. Copilot provides suggestions while coding, not specifically in debug sessions or watch windows.Incorrect.
* D. From a web browser athttps://github.copilot.comThere is no such URL as "https://github.copilot.
com" dedicated to interacting with GitHub Copilot. Copilot is accessed via GitHub's authentication and integrated into editors/IDEs, not through a standalone web browser interface. Information about Copilot is available on GitHub's official site (e.g.,https://github.com/features/copilot), but interaction happens in the coding environment.Incorrect.


NEW QUESTION # 14
What GitHub Copilot feature can be configured at the organization level to prevent GitHub Copilot suggesting publicly available code snippets?

  • A. GitHub Copilot Chat in GitHub Mobile
  • B. GitHub Copilot duplication detection filter
  • C. GitHub Copilot Chat in the IDE
  • D. GitHub Copilot access to Bing

Answer: B

Explanation:
The duplication detection filter can be configured at the organization level to prevent GitHub Copilot from suggesting publicly available code snippets.


NEW QUESTION # 15
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