[2025年10月18日] 合格GitHub Certification GitHub-Copilot試験問題集には68問があります [Q40-Q64]

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[2025年10月18日] 合格GitHub Certification GitHub-Copilot試験問題集には68問があります

究極ガイドの無料準備GitHub GitHub-Copilot試験問題と解答

質問 # 40
How can GitHub Copilot be limited when it comes to suggesting unit tests?

  • A. GitHub Copilot can generate all types of unit tests, including those for edge cases and complex integration scenarios.
  • B. GitHub Copilot's limitations in generating unit tests can vary based on the IDE version you are using.
  • C. GitHub Copilot can handle any complexity in code and automatically generate appropriate unit tests.
  • D. GitHub Copilot primarily suggests basic unit tests that focus on core functionalities, often requiring additional input from developers for comprehensive coverage.

正解:D

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 # 41
What is the correct way to access the audit log events for GitHub Copilot Business?

  • A. Navigate to the Insights tab in the repository settings
  • B. Use the Code tab in the GitHub repository
  • C. Use the Audit log section in the organization's GitHub settings
  • D. Navigate to the Security tab in the organization's GitHub settings

正解:C

解説:
Audit log events for GitHub Copilot Business can be accessed through the Audit log section within the organization's GitHub settings. This log provides a record of activities related to Copilot usage and configuration.


質問 # 42
What GitHub Copilot pricing plan gives you access to your company's knowledge bases?

  • A. GitHub Copilot Professional
  • B. GitHub Copilot Individual
  • C. GitHub Copilot Business
  • D. GitHub Copilot Enterprise

正解:D

解説:
GitHub Copilot Enterprise provides access to your company's knowledge bases, enabling the tool to provide contextually relevant suggestions based on your organization's specific documentation and code.


質問 # 43
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 will automatically correct any statistical errors found in the user's initial code.
  • C. GitHub Copilot can independently verify the statistical significance of results.
  • D. GitHub Copilot can design new statistical methods that have not been previously documented.

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 # 44
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. The default execution confirmation
  • B. Usage analytics
  • C. GitHub CLI subcommands
  • D. The default editor

正解:A、B

解説:
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.


質問 # 45
An independent contractor develops applications for a variety of different customers. Assuming no concerns from their customers, which GitHub Copilot plan is best suited?

  • A. GitHub Copilot Individual
  • B. GitHub Copilot Business
  • C. GitHub Copilot Enterprise
  • D. GitHub Copilot Teams
  • E. GitHub Copilot Business for non-GHE Customers

正解:A

解説:
For an independent contractor, GitHub Copilot Individual is the most suitable and cost-effective plan.


質問 # 46
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 replaces the need for developer opportunities in most fields.
  • C. AI eliminates the need for data privacy regulations.
  • D. AI algorithms are incapable of perpetuating existing biases.

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 # 47
How can you get multiple suggestions from GitHub Copilot?

  • A. By using @workspace in the chat window
  • B. By using the inline chat functionality with the command 'multiple'
  • C. By opening the completions panel in your editor
  • D. By asking for multiple suggestions using comments in your code

正解:C

解説:
You can get multiple suggestions by opening the completions panel in your editor, which displays alternative code suggestions.


質問 # 48
Why might a Generative AI (Gen AI) tool create inaccurate outputs?

  • A. The training data might contain biases or inconsistencies.
  • B. The Gen AI tool is experiencing downtime and is not fully recovered.
  • C. The Gen AI tool is programmed with a focus on creativity over factual accuracy.
  • D. The Gen AI tool is overloaded with too many requests at once.

正解:A

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 # 49
What is a limitation of content exclusions?

  • A. Content exclusions can only be configured by an enterprise administrator.
  • B. Repository administrators and organization owners cannot manage content exclusion settings.
  • C. Content exclusions are only available in the GitHub Copilot Individual plan.
  • D. Content exclusions can be worked around as it is only available for Git repositories.

正解:D

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 # 50
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)

  • A. By using the "/fix" command in GitHub Copilot in-line chat.
  • B. By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."
  • C. By adding comments to your code and triggering a suggestion.
  • D. By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."
  • E. By running the gh copilot fix command.

正解:C、D

解説:
You can use GitHub Copilot for inline refactoring suggestions by adding comments to your code to trigger suggestions and by highlighting the code and selecting "Refactor using GitHub Copilot" from the context menu.


質問 # 51
Why is code reviewing still necessary when using GitHub Copilot to write tests?

  • A. Because GitHub Copilot's generated test cases may not cover all possible scenarios.
  • B. Because GitHub Copilot can cover all possible scenarios in your test cases.
  • C. Because GitHub Copilot replaces the need for manual testing.
  • D. Because GitHub Copilot generates the best code possible for the test scenario.

正解:A

解説:
Code review is necessary because GitHub Copilot's generated test cases might not cover all possible scenarios, especially edge cases and complex interactions.


質問 # 52
Which of the following scenarios best describes the intended use of GitHub Copilot Chat as a tool?

  • A. A tool solely designed for debugging and error correction.
  • B. A complete replacement for developers generating code.
  • C. A solution for software development, requiring no additional input or oversight.
  • 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 # 53
Which of the following describes role prompting?

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

正解:C

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 # 54
What is zero-shot prompting?

  • A. Giving GitHub Copilot examples of the problem you want to solve
  • B. Only giving GitHub Copilot a question as a prompt and no examples
  • C. Giving as little context to GitHub Copilot as possible
  • D. Telling GitHub Copilot it needs to show only the correct answer
  • E. Giving GitHub Copilot examples of the algorithm and outcome you want to use

正解:B

解説:
Zero-shot prompting involves asking GitHub Copilot a question or giving a task without providing any examples. This relies on the model's pre-existing knowledge to generate a response.


質問 # 55
What is the process behind identifying public code matches when using a public code filter enabled in GitHub Copilot?

  • A. Comparing suggestions against public code using machine learning.
  • B. Reviewing the user's browsing history to identify public repositories
  • C. Running code suggestions through filters designed to detect public code
  • D. Analyzing the context and structure of the code being written

正解:C

解説:
When the public code filter is enabled, GitHub Copilot runs code suggestions through filters designed to detect matches with publicly available code. This helps prevent the generation of code that might infringe on copyright or licensing agreements.


質問 # 56
How does GitHub Copilot Chat help in understanding the existing codebase?

  • A. By answering questions about the code and generating explanations.
  • B. By running code linters and formatters.
  • C. By automatically refactoring code to improve readability.
  • D. By providing visual diagrams of the code structure.

正解:A

解説:
GitHub Copilot Chat helps in understanding existing codebases by answering questions about the code and generating explanations. This allows developers to quickly grasp the functionality and structure of unfamiliar code.


質問 # 57
What method can a developer use to generate sample data with GitHub Copilot? (Each correct answer presents part of the solution. Choose two.)

  • A. Utilize GitHub Copilot's capability to directly access and use databases to create sample data.
  • B. Leveraging GitHub Copilot's ability to independently initiate and manage data storage services.
  • C. Leveraging GitHub Copilot's suggestions to create data based on API documentation in the repository.
  • D. Utilizing GitHub Copilot's ability to create fictitious information from patterns in training data.

正解:C、D

解説:
GitHub Copilot can generate sample data by creating fictitious information based on patterns in its training data and by using suggestions based on API documentation within the repository.


質問 # 58
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

  • A. Accepted chat suggestions
  • B. Code suggestions made by GitHub Copilot
  • C. Changes to content exclusion settings
  • D. Suggestions blocked by duplication detection filtering

正解:C

解説:
Organization audit logs track changes to content exclusion settings, providing administrators with visibility into configuration changes.


質問 # 59
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 providing templates and code snippets that help in documenting requirements.
  • D. By automatically generating detailed requirements documents.

正解:C

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 # 60
What method can be used to interact with GitHub Copilot?

  • A. From a web browser at https://github.copilot.com
  • B. By using a properly configured GitHub CLI
  • C. By using chat capabilities in NeoVim
  • D. From a watch window in an IDE debug session

正解:C

解説:
GitHub Copilot is an AI-powered code completion tool that integrates directly into supported Integrated Development Environments (IDEs) and code editors, such as Visual Studio Code, JetBrains IDEs, NeoVim, and others. Developers interact with it through their coding environment, where it provides real-time code suggestions, autocompletions, and (in some cases) chat-like capabilities via extensions or plugins (e.g., GitHub Copilot Chat in supported editors).
Evaluation of Options:
* A. By using a properly configured GitHub CLIThe GitHub CLI (Command Line Interface) is a tool for interacting with GitHub repositories and workflows from the terminal, but it is not a method for interacting with GitHub Copilot. Copilot operates within code editors/IDEs, not through the CLI.
Incorrect.
* B. By using chat capabilities in NeoVimThis is partially correct. GitHub Copilot can be used in NeoVim with the appropriate plugin (e.g., the Copilot.vim plugin), and GitHub Copilot Chat-a feature that allowsconversational interaction-may also be available depending on the setup and version.
However, "chat capabilities in NeoVim" alone is not the primary or standard way to describe Copilot interaction, as it's more about code suggestions than chat. This is the closest option but not perfectly precise.Partially correct.
* C. From a watch window in an IDE debug sessionThe "watch window" in an IDE is used during debugging to monitor variable values, not to interact with GitHub Copilot. Copilot provides suggestions while coding, not specifically in debug sessions or watch windows.Incorrect.
* D. From a web browser athttps://github.copilot.comThere is no such URL as "https://github.copilot.
com" dedicated to interacting with GitHub Copilot. Copilot is accessed via GitHub's authentication and integrated into editors/IDEs, not through a standalone web browser interface. Information about Copilot is available on GitHub's official site (e.g.,https://github.com/features/copilot), but interaction happens in the coding environment.Incorrect.


質問 # 61
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. Chat
  • C. Pull Request Diff Analysis
  • D. Code suggestions

正解:B、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 # 62
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 the IDE
  • B. GitHub Copilot Chat in GitHub Mobile
  • 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 # 63
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?

  • A. Transparency
  • B. Accountability
  • C. Fairness
  • D. Inclusiveness

正解:A

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 arrivesat its decisions and suggestions.


質問 # 64
......


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
  • Privacy Fundamentals and Context Exclusions: This section of the exam measures skills of Cybersecurity Specialists and Compliance Officers and covers privacy safeguards and content exclusion settings in GitHub Copilot. It explains how Copilot can identify security vulnerabilities, suggest optimizations, and enforce secure coding practices. It also includes details on content ownership, data filtering mechanisms, and exclusion configurations. The section concludes with troubleshooting guidelines for managing context exclusions and ensuring compliance with organizational security policies.
トピック 2
  • Prompt Engineering: This section of the exam measures skills of AI Engineers and Software Developers and covers the fundamentals of prompt engineering, including key principles, techniques, and best practices for generating high-quality outputs. It explains different prompting strategies such as zero-shot and few-shot prompting, how context influences AI-generated responses, and the role of structured prompts in guiding Copilot's behavior. It also discusses the prompt lifecycle and ways to enhance model performance through refined input instructions.
トピック 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.
トピック 4
  • 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.

 

合格させるGitHub-CopilotテストエンジンとPDFで完全版無料問題集:https://jp.fast2test.com/GitHub-Copilot-premium-file.html


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