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GitHub-Copilot Latest Mock Test, GitHub-Copilot Exam Quizzes
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GitHub CopilotCertification Exam Sample Questions (Q18-Q23):
NEW QUESTION # 18
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 decrease developer velocity by requiring too much time in prompt engineering.
- C. GitHub Copilot may introduce security vulnerabilities by suggesting code with known exploits.
- D. GitHub Copilot may increase development lead time by providing irrelevant suggestions.
Answer: A,C
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 # 19
Which of the following describes role prompting?
- A. Prompt GitHub Copilot to explain what was the role of a suggestion
- B. Giving GitHub Copilot multiple examples of the form of the data you want to use
- C. Tell GitHub Copilot in what tone of voice it should respond
- D. Describing in your prompt what your role is to get a better suggestion
Answer: D
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 # 20
In what way can GitHub Copilot and GitHub Copilot Chat aid developers in modernizing applications?
- A. GitHub Copilot can suggest modern programming patterns based on your code.
- B. GitHub Copilot can create and deploy full-stack applications based on a single query.
- C. GitHub Copilot can directly convert legacy applications into cloud-native architectures.
- D. GitHub Copilot can refactor applications to align with upcoming standards.
Answer: A
Explanation:
GitHub Copilot and GitHub Copilot Chat are powerful AI-driven tools designed to assist developers by providing context-aware code suggestions and interactive support. Specifically, in the context of modernizing applications, GitHub Copilot excels at analyzing existing code and suggesting modern programming patterns, best practices, and syntax improvements that align with contemporary development standards. For example, it can recommend updates to outdated constructs, propose more efficient algorithms, or suggest frameworks and libraries that are widely used in modern application development.
* Why not A?GitHub Copilot does not "directly convert" legacy applications into cloud-native architectures. It can assist by suggesting code changes or patterns that support such a transition, but it doesn't autonomously perform the full conversion process, which involves architectural decisions and deployment steps beyond its scope.
* Why not C?While GitHub Copilot can generate code snippets and even larger portions of an application, it cannot create and deploy full-stack applications from a single query. It requires developer input, refinement, and integration to achieve a complete, deployable solution.
* Why not D?GitHub Copilot can assist with refactoring by suggesting improvements to existing code, but it doesn't inherently "align with upcoming standards" in a predictive sense. Its suggestions are based on current best practices and the data it was trained on, not future standards that are yet to be defined.
Thus,Bis the most accurate and realistic way GitHub Copilot aids developers in modernizing applications, leveraging its ability to provide relevant, context-based suggestions to update and improve codebases.
NEW QUESTION # 21
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?
- A. Changes to content exclusion settings
- B. Code suggestions made by GitHub Copilot
- C. Suggestions blocked by duplication detection filtering
- D. Accepted chat suggestions
Answer: A
NEW QUESTION # 22
What is a limitation of content exclusions?
- A. Repository administrators and organization owners cannot manage content exclusion settings.
- B. Content exclusions are only available in the GitHub Copilot Individual plan.
- C. Content exclusions can be worked around as it is only available for Git repositories.
- D. Content exclusions can only be configured by an enterprise administrator.
Answer: C
Explanation:
A limitation is that content exclusions are only available for Git repositories, meaning they can be worked around if content is accessed through other means.
NEW QUESTION # 23
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