更新された2025年07月合格させるGitHub-Copilot試験リアル練習テスト問題
無料ダウンロードGitHub GitHub-Copilotリアル試験問題
質問 # 11
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?
- A. Changes to content exclusion settings
- B. Accepted chat suggestions
- C. Code suggestions made by GitHub Copilot
- D. Suggestions blocked by duplication detection filtering
正解：A
解説：
Organization audit logs track changes to content exclusion settings, providing administrators with visibility into configuration changes.
質問 # 12
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. Creation of end-to-end performance testing scenarios for a web application
- C. Explain a legacy COBOL code and translate the code to another language like Python.
- D. Creation of a unit test scenario for newly developed Python code
正解：C、D
解説：
GitHub Copilot Chat is effective for explaining and translating legacy code and generating unit test scenarios for new code.
質問 # 13
What role does chat history play in GitHub Copilot's code suggestions?
- A. Chat history is irrelevant to GitHub Copilot and does not affect its functionality.
- B. Chat history provides context to GitHub Copilot, improving the relevance and accuracy of its code suggestions.
- C. Chat history is used to train the GitHub Copilot model in real-time.
- D. Chat history is stored and shared with other users to enhance collaboration.
正解：B
解説：
Chat history provides valuable context to GitHub Copilot, helping it generate more relevant and accurate code suggestions based on previous interactions and conversations.
質問 # 14
1.
blog.yatricloud.com
blog.yatricloud.com
- A. The API can track the acceptance rate of code suggestions accepted and used in the organization.
- B. The API can provide feedback on coding style and standards compliance.
- C. The API can refactor your code to improve productivity.
- D. The API can provide Copilot Chat specific suggestions acceptance metrics.
- E. The API can generate detailed reports on code quality improvements made by GitHub Copilot.
正解：A、D
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 # 15
Which of the following is a risk associated with using AI?
- A. AI systems can sometimes make decisions that are difficult to interpret.
- B. AI eliminates the need for data privacy regulations.
- C. AI algorithms are incapable of perpetuating existing biases.
- D. AI replaces the need for developer opportunities in most fields.
正解：A
解説：
A risk associated with AI is that its decisions can be difficult to interpret, leading to a lack of transparency and potential misunderstandings.
質問 # 16
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. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.
- D. When the repository level settings allow overrides by the user.
正解：C
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 # 17
How can you improve the context used by GitHub Copilot? (Each correct answer presents part of the solution.
Choose two.)
- A. By adding the full file paths to your prompt of important files
- B. By opening the relevant tabs in your IDE
- C. By adding the important files to your .gitconfig
- D. By adding relevant code snippets to your prompt
正解：B、D
解説：
Improving the context for GitHub Copilot involves opening relevant files in your IDE to provide immediate context and adding relevant code snippets directly to your prompts to give Copilot specific examples and information.
質問 # 18
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. Chat
- B. Knowledge Base
- C. Code suggestions
- D. Pull Request Diff Analysis
正解：A、C
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 # 19
Which Microsoft ethical AI principle is aimed at ensuring AI systems treat all people equally?
- A. Privacy and Security
- B. Reliability and Safety
- C. Fairness
- D. Inclusiveness
正解：C
解説：
The principle of fairness ensures that AI systems treat all people equally and avoid discriminatory outcomes.
質問 # 20
What are the potential limitations of GitHub Copilot Chat? (Each correct answer presents part of the solution.
Choose two.)
- A. Extensive support for all programming languages
- B. No biases in code suggestions
- C. Ability to handle complex code structures
- D. Limited training data
正解：A、D
解説：
GitHub Copilot Chat has limitations such as limited training data, which can affect the accuracy of its suggestions, and it does not provide extensive support for all programming languages.
質問 # 21
Which GitHub Copilot plan allows for prompt and suggestion collection?
- A. GitHub Copilot Individuals
- B. GitHub Copilot Business
- C. GitHub Copilot Enterprise
- D. GitHub Copilot Codespace
正解：C
解説：
GitHub Copilot Enterprise allows for prompt and suggestion collection, enabling organizations to analyze and improve their usage of the tool.
質問 # 22
Where is the proxy service hosted?
- A. Amazon Web Service
- B. Microsoft Azure
- C. Self hosted
- D. Google Cloud Platform
正解：B
解説：
The proxy service for GitHub Copilot is hosted on Microsoft Azure.
質問 # 23
How does GitHub Copilot Chat utilize its training data and external sources to generate responses when answering coding questions?
- A. It uses user-provided documentation exclusively to generate responses.
- B. It primarily uses search results from Bing to generate responses.
- C. It combines its training data set, code in user repositories, and external sources like Bing to generate responses.
- D. It primarily relies on the model's training data to generate responses.
正解：C
解説：
GitHub Copilot Chat combines its training data, code from user repositories, and external sources like Bing to generate comprehensive and relevant responses to coding questions.
質問 # 24
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)
- A. Monthly, as a metered service based on actual consumption
- B. Monthly as a subscription
- C. Free (not billed) for all open source projects
- D. Annually as a subscription
正解：B、D
解説：
GitHub Copilot Individual is billed as a monthly or annual subscription.
質問 # 25
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 increase development lead time by providing irrelevant suggestions.
- D. GitHub Copilot may introduce security vulnerabilities by suggesting code with known exploits.
正解：A、D
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 # 26
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?
- A. GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.
- B. GitHub Copilot can design new statistical methods that have not been previously documented.
- C. GitHub Copilot can independently verify the statistical significance of results.
- D. GitHub Copilot will automatically correct any statistical errors found in the user's initial code.
正解：A
解説：
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.
質問 # 27
How can the concept of fairness be integrated into the process of operating an AI tool?
- A. Focusing on accessibility will ensure fairness.
- B. Training AI data and algorithms to be free from biases will ensure fairness.
- C. Regularly monitoring the AI tool's performance will ensure fairness in its outputs.
- D. Focusing on collecting large datasets for training will ensure fairness.
正解：B
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 # 28
How can GitHub Copilot assist developers during the requirements analysis phase of the Software Development Life Cycle (SDLC)?
- A. By identifying and fixing potential requirement conflicts when using /help.
- B. By managing stakeholder communication and meetings.
- C. By automatically generating detailed requirements documents.
- D. By providing templates and code snippets that help in documenting requirements.
正解：D
解説：
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.
質問 # 29
......
GitHub GitHub-Copilot 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 |
|
GitHub-Copilot問題集100パー合格保証には最新のサンプル：https://www.passtest.jp/GitHub/GitHub-Copilot-shiken.html
あなたを合格させる試験には100%確認済みGitHub-Copilot試験問題：https://drive.google.com/open?id=1cgM70UQGkm_4ZxYF_AN197upUs7Ve-I8