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GitHub-Copilot認證指南 - GitHub-Copilot題庫最新資訊

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GitHub GitHub-Copilot 考試大綱：

主題
簡介

主題 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.

主題 2

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.

主題 3

Responsible AI: This section of the exam measures the skills of AI Ethics Analysts and AI Developers and covers the principles of responsible AI usage, the risks associated with AI, and the limitations of generative AI tools. It includes the importance of validating AI-generated outputs and operating AI systems responsibly. It also explores potential harms such as bias, privacy concerns, and fairness issues, along with methods to mitigate these risks. The ethical considerations of AI development and deployment are also discussed.

>> GitHub-Copilot認證指南 <<

GitHub-Copilot題庫最新資訊，GitHub-Copilot證照考試

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最新的 GitHub Certification GitHub-Copilot 免費考試真題 (Q48-Q53):

問題 #48
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. By tweeting at GitHub's official X (previously known as Twitter) account.
D. The Settings menu in the GitHub Mobile app.

答案：A

解題說明：
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.

問題 #49
What should developers consider when relying on GitHub Copilot for generating code that involves statistical analysis?

A. GitHub Copilot can design new statistical methods that have not been previously documented.
B. GitHub Copilot will automatically correct any statistical errors found in the user's initial code.
C. GitHub Copilot's suggestions are based on statistical trends and may not always apply accurately to specific datasets.
D. GitHub Copilot can independently verify the statistical significance of results.

答案：C

解題說明：
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.

問題 #50
Which of the following statements best describes the impact of GitHub Copilot on the software development process?

A. It decreases software vulnerabilities from third party dependencies.
B. It replaces the need for developers in the software development process.
C. It reduces overhead by automating testing workflows.
D. It increases productivity by automating repetitive coding tasks.

答案：D

解題說明：
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.

問題 #51
What is the correct way to access the audit log events for GitHub Copilot Business?

A. Navigate to the Security tab in the organization's GitHub 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 Insights tab in the repository settings

答案：C

解題說明：
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.

問題 #52
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 directly convert legacy applications into cloud-native architectures.
C. GitHub Copilot can refactor applications to align with upcoming standards.
D. GitHub Copilot can create and deploy full-stack applications based on a single query.

答案：A

解題說明：
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.

問題 #53
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GitHub-Copilot題庫最新資訊: https://tw.fast2test.com/GitHub-Copilot-premium-file.html

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