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[General] Latest Braindumps Microsoft GH-300 Ppt & GH-300 Trustworthy Exam Content

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【General】 Latest Braindumps Microsoft GH-300 Ppt & GH-300 Trustworthy Exam Content

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Microsoft GitHub Copilot Sample Questions (Q96-Q101):NEW QUESTION # 96
How does GitHub Copilot Enterprise assist in code reviews during the pull request process? (Select two.)
  • A. It can answer questions about the changeset of the pull request.
  • B. It can validate the accuracy of the changes in the pull request.
  • C. It automatically merges pull requests after an automated review.
  • D. It generates a prose summary and a bulleted list of key changes for pull requests.
Answer: A,D
Explanation:
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.

NEW QUESTION # 97
Which of the following statements best describes the impact of GitHub Copilot on the software development process?
  • A. It reduces overhead by automating testing workflows.
  • B. It increases productivity by automating repetitive coding tasks.
  • C. It replaces the need for developers in the software development process.
  • D. It decreases software vulnerabilities from third party dependencies.
Answer: B
Explanation:
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.
Reference: GitHub Copilot impact documentation.

NEW QUESTION # 98
In what way can GitHub Copilot and GitHub Copilot Chat aid developers in modernizing applications?
  • A. GitHub Copilot can directly convert legacy applications into cloud-native architectures.
  • B. GitHub Copilot can refactor applications to align with upcoming standards.
  • C. GitHub Copilot can suggest modern programming patterns based on your code.
  • D. GitHub Copilot can create and deploy full-stack applications based on a single query.
Answer: C
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.
Reference: GitHub Copilot documentation on application modernization.

NEW QUESTION # 99
Which of the following prompts can be used to guide GitHub Copilot Chat in refactoring code for quality improvements? (Each correct answer presents part of the solution. Choose two.)
  • A. "Refactor my application to meet the latest coding standards."
  • B. "Show me how to improve the readability of this function."
  • C. "Predict future coding trends and update my codebase accordingly."
  • D. "Suggest ways to enhance the maintainability of this code segment."
Answer: B,D
Explanation:
Effective prompts for refactoring include requests that focus on specific quality improvements, such as readability and maintainability. These prompts guide GitHub Copilot to provide relevant and actionable suggestions.
Reference: GitHub Copilot prompt engineering best practices.

NEW QUESTION # 100
Which of the following statements correctly describes how GitHub Copilot Individual uses prompt data?
(Each correct answer presents part of the solution. Choose two.)
  • A. Prompt data is stored unencrypted for faster processing.
  • B. Prompt data is used to train machine learning models for better code suggestions.
  • C. Prompt data is used internally by GitHub for improving the search engine.
  • D. Real-time user input helps generate context-aware code suggestions.
Answer: B,D
Explanation:
Exact extracts:
* "For GitHub Copilot Individual, prompts and code completions may be retained and used to train machine learning models to improve Copilot." References: GitHub Copilot data usage and privacy documentation.

NEW QUESTION # 101
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