100% GITHUB-COPILOT EXAM COVERAGE | GITHUB-COPILOT PRACTICE MOCK

100% GitHub-Copilot Exam Coverage | GitHub-Copilot Practice Mock

100% GitHub-Copilot Exam Coverage | GitHub-Copilot Practice Mock

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Tags: 100% GitHub-Copilot Exam Coverage, GitHub-Copilot Practice Mock, GitHub-Copilot Free Dumps, Reliable GitHub-Copilot Exam Vce, Certification GitHub-Copilot Torrent

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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
  • 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 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.

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GitHub CopilotCertification Exam Sample Questions (Q18-Q23):

NEW QUESTION # 18
1.
blog.yatricloud.com
blog.yatricloud.com

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

Answer: A,C

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 # 19
What is a benefit of using custom models in GitHub Copilot?

  • A. Responses are guaranteed to be correct
  • B. Responses use the organization's LLM engine
  • C. Responses use practices and patterns in your repositories
  • D. Responses are faster to produce and appear sooner

Answer: C

Explanation:
Custom models in GitHub Copilot allow the tool to learn from the specific code patterns and practices within your repositories. This results in suggestions that are more aligned with your organization's coding standards and conventions, improving the relevance and accuracy of the generated code.


NEW QUESTION # 20
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

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

Answer: C

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 # 21
Which of the following describes role prompting?

  • A. Prompt GitHub Copilot to explain what was the role of a suggestion
  • B. Describing in your prompt what your role is to get a better suggestion
  • C. Giving GitHub Copilot multiple examples of the form of the data you want to use
  • D. Tell GitHub Copilot in what tone of voice it should respond

Answer: B

Explanation:
Role prompting involves explicitly stating your role or the persona you want GitHub Copilot to adopt within your prompt. This helps Copilot provide more contextually relevant and accurate suggestions. By defining your role (e.g., "As a senior software engineer," "As a technical writer"), you guide Copilot to tailor its responses to align with the expertise and perspective associated with that role. This improves the quality and relevance of the generated code and explanations.


NEW QUESTION # 22
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. Usage analytics
  • B. GitHub CLI subcommands
  • C. The default editor
  • D. The default execution confirmation

Answer: A,D

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 # 23
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