まもなく無料セール終了！リアルGH-300のPDF解答で合格せよ [2025年12月22日]
最新の2025年12月試験GH-300問題集合格できる認証試験合格させます
Microsoft GH-300 認定試験の出題範囲：
| トピック | 出題範囲 |
|---|---|
| トピック 1 |
|
| トピック 2 |
|
| トピック 3 |
|
| トピック 4 |
|
| トピック 5 |
|
| トピック 6 |
|
質問 # 36
What types of prompts or code snippets might be flagged by the GitHub Copilot toxicity filter? (Each correct answer presents part of the solution. Choose two.)
- A. Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)
- B. Code that contains logical errors or produces unexpected results
- C. Code comments containing strong opinions or criticisms
- D. Sexually suggestive or explicit content
正解：A、D
解説：
GitHub Copilot includes a toxicity filter to prevent the generation of harmful or inappropriate content. This filter flags prompts or code snippets that contain hate speech, discriminatory language, or sexually suggestive or explicit content. This ensures a safe and respectful coding environment.
質問 # 37
effectiveness of GitHub Copilot? (Each correct answer presents part of the solution. Choose two.) 1
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 provide feedback on coding style and standards compliance.
- D. The API can refactor your code to improve productivity.
- E. The API can track the acceptance rate of code suggestions accepted and used in the organization.
正解：A、E
解説：
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.
質問 # 38
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 Chat in the IDE
- C. GitHub Copilot duplication detection filter
- D. GitHub Copilot access to Bing
正解：C
解説：
The duplication detection filter can be configured at the organization level to prevent GitHub Copilot from suggesting publicly available code snippets.
質問 # 39
How can GitHub Copilot facilitate a smoother learning experience when diving into a new programming language? (Each correct answer presents part of the solution. Choose two.)
- A. GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.
- B. GitHub Copilot can convert comments into code to grasp the syntax and nuances of a new programming language.
- C. GitHub Copilot's /understand command will help GitHub Copilot to understand code written in a targeted programming language.
- D. GitHub Copilot Chat can provide guidance and support for common coding tasks and challenges in the targeted programming language.
正解：B、D
解説：
GitHub Copilot helps with learning new languages by providing guidance on common tasks and by converting comments into code, allowing developers to see syntax in action.
質問 # 40
How can the concept of fairness be integrated into the process of operating an AI tool?
- A. Regularly monitoring the AI tool's performance will ensure fairness in its outputs.
- B. Focusing on accessibility will ensure fairness.
- C. Training AI data and algorithms to be free from biases will ensure fairness.
- D. Focusing on collecting large datasets for training will ensure fairness.
正解：C
解説：
Fairness in AI tools is achieved by training the data and algorithms to be free from biases. This ensures that the tool treats all users equitably and avoids discriminatory outcomes.
質問 # 41
What is a limitation of content exclusions?
- A. Content exclusions can only be configured by an enterprise administrator.
- 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. Repository administrators and organization owners cannot manage content exclusion settings.
正解：C
解説：
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.
質問 # 42
When can GitHub Copilot still use content that was excluded using content exclusion?
- A. When the user prompts with @workspace.
- B. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.
- C. When the repository level settings allow overrides by the user.
- D. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.
正解：D
解説：
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.
質問 # 43
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.
正解：A、D
解説：
GitHub Copilot Enterprise assists in code reviews by generating summaries of pull requests and answering questions about the changes made.
質問 # 44
Which of the following describes role prompting?
- A. Describing in your prompt what your role is to get a better suggestion
- B. Tell GitHub Copilot in what tone of voice it should respond
- C. Giving GitHub Copilot multiple examples of the form of the data you want to use
- D. Prompt GitHub Copilot to explain what was the role of a suggestion
正解：A
解説：
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.
質問 # 45
Which Copilot Individual features are available when using a supported extension for Visual Studio, VS Code, or JetBrains IDEs? (Each correct answer presents part of the solution. Choose two.)
- A. Knowledge Base
- B. Pull Request Diff Analysis
- C. Chat
- D. Code suggestions
正解：C、D
解説：
GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.
質問 # 46
Why might a Generative AI (Gen AI) tool create inaccurate outputs?
- A. The Gen AI tool is overloaded with too many requests at once.
- B. The Gen AI tool is experiencing downtime and is not fully recovered.
- C. The training data might contain biases or inconsistencies.
- D. The Gen AI tool is programmed with a focus on creativity over factual accuracy.
正解：C
解説：
Gen AI tools can produce inaccurate outputs if the training data contains biases or inconsistencies, which can lead to flawed or misleading results.
質問 # 47
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 may introduce security vulnerabilities by suggesting code with known exploits.
- B. GitHub Copilot's suggestions may not always reflect best practices or the latest coding standards.
- 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.
正解：A、B
解説：
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.
質問 # 48
Which of the following scenarios best describes the intended use of GitHub Copilot Chat as a tool?
- A. A solution for software development, requiring no additional input or oversight.
- B. A tool solely designed for debugging and error correction.
- C. A complete replacement for developers generating code.
- D. A productivity tool that provides suggestions, but relying on human judgment.
正解：D
解説：
GitHub Copilot Chat is designed to be a productivity enhancer, not a replacement for human developers. It provides suggestions and assists with coding tasks, but the final decision and validation always rest with the developer. Copilot Chat is meant to augment the developer's workflow, making it faster and more efficient, but it does not remove the need for human oversight and judgment.
質問 # 49
How can GitHub Copilot assist with code refactoring tasks?
- A. GitHub Copilot can remove unnecessary files from the project directory.
- B. GitHub Copilot can fix syntax errors without user input.
- C. GitHub Copilot can suggest refactoring improvements for better code quality.
- D. GitHub Copilot can automatically rewrite code to follow best practices.
正解：C
解説：
GitHub Copilot can analyze existing code and suggest refactoring improvements to enhance code quality, readability, and maintainability. It can propose changes to improve code structure, reduce complexity, and follow best practices.
質問 # 50
How long does GitHub retain Copilot data for Business and Enterprise? (Each correct answer presents part of the solution. Choose two.)
- A. User Engagement Data: Kept for Two Years
- B. Prompts and Suggestions: Retained for 28 days
- C. User Engagement Data: Kept for One Year
- D. Prompts and Suggestions: Not retained
正解：A、B
解説：
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.
質問 # 51
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. "Show me how to improve the readability of this function."
- B. "Suggest ways to enhance the maintainability of this code segment."
- C. "Refactor my application to meet the latest coding standards."
- D. "Predict future coding trends and update my codebase accordingly."
正解：A、B
解説：
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.
質問 # 52
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)
- A. Annually as a subscription
- B. Monthly, as a metered service based on actual consumption
- C. Free (not billed) for all open source projects
- D. Monthly as a subscription
正解：A、D
解説：
GitHub Copilot Individual is billed as a monthly or annual subscription.
質問 # 53
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?
- A. Inclusiveness
- B. Fairness
- C. Transparency
- D. Accountability
正解：C
解説：
The principle of transparency emphasizes that AI systems should be understandable and provide clear information about their operations. This ensures that users can understand how the AI arrives at its decisions and suggestions.
質問 # 54
How can GitHub Copilot be limited when it comes to suggesting unit tests?
- A. GitHub Copilot primarily suggests basic unit tests that focus on core functionalities, often requiring additional input from developers for comprehensive coverage.
- B. GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.
- C. GitHub Copilot can handle any complexity in code and automatically generate appropriate unit tests.
- D. GitHub Copilot's limitations in generating unit tests can vary based on the IDE version you are using.
正解：A
解説：
GitHub Copilot often suggests basic unit tests and may not cover all edge cases or complex integration scenarios, requiring developers to supplement its suggestions.
質問 # 55
What configuration needs to be set to get help from Microsoft and GitHub protecting against IP infringement while using GitHub Copilot?
- A. Suggestions matching public code to 'blocked'
- B. Enforce blocking of MIT or GPL licensed code
- C. You need to check code suggestions yourself before accepting
- D. Enable GitHub Copilot license checking
正解：A
解説：
To help protect against IP infringement, you need to configure GitHub Copilot to block suggestions that match public code. This ensures that the generated code is not directly copied from publicly available sources.
質問 # 56
What is the best way to share feedback about GitHub Copilot Chat when using it on GitHub Mobile?
- A. Use the emojis in the Copilot Chat interface.
- B. The feedback section on the GitHub website.
- C. The Settings menu in the GitHub Mobile app.
- D. By tweeting at GitHub's official X (previously known as Twitter) account.
正解：A
解説：
The best way to share feedback on GitHub Mobile is using the emojis in the Copilot Chat interface, which allows for direct and immediate feedback.
質問 # 57
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?
- A. Changes to content exclusion settings
- B. Suggestions blocked by duplication detection filtering
- C. Accepted chat suggestions
- D. Code suggestions made by GitHub Copilot
正解：A
解説：
Organization audit logs track changes to content exclusion settings, providing administrators with visibility into configuration changes.
質問 # 58
What is a key consideration when relying on GitHub Copilot Chat's explanations of code functionality and proposed improvements?
- A. GitHub Copilot Chat uses a static database for generating explanations.
- B. The explanations are primarily derived from user-provided documentation.
- C. The explanations are dynamically updated based on user feedback.
- D. Reviewing and validating the generated output for accuracy and completeness.
正解：D
解説：
While GitHub Copilot Chat can provide helpful explanations and suggestions, it's crucial to review and validate the generated output. Copilot's suggestions are based on its training data, and they may not always be perfectly accurate or complete. Human judgment is essential to ensure the quality and correctness of the code.
質問 # 59
Identify the right use cases where GitHub Copilot Chat is most effective. (Each correct answer presents part of the solution. Choose two.)
- A. Create a technical requirement specification from the business requirement documentation
- B. Explain a legacy COBOL code and translate the code to another language like Python.
- C. Creation of end-to-end performance testing scenarios for a web application
- D. Creation of a unit test scenario for newly developed Python code
正解：B、D
解説：
GitHub Copilot Chat is effective for explaining and translating legacy code and generating unit test scenarios for new code.
質問 # 60
......
GH-300問題集が合格させる、一日でGitHub Administrator試験合格：https://jp.fast2test.com/GH-300-premium-file.html
最新でリアルなMicrosoft GH-300試験問題集解答：https://drive.google.com/open?id=1dTuQkFwb49JxPW6ws1SovdUkLYnLCSDV