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Leo Ward Leo Ward

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GitHub GitHub-Copilot認證考試解析，GitHub-Copilot題庫更新

KaoGuTi的專家團隊針對GitHub GitHub-Copilot 認證考試研究出了最新的短期有效培訓方案，為參加GitHub GitHub-Copilot 認證考試的考生進行20個小時左右的培訓，他們就能快速掌握很多知識和鞏固自己原有的知識，還能輕鬆通過GitHub GitHub-Copilot 認證考試，比那些花大量的時間和精力準備考試的人輕鬆得多。

GitHub GitHub-Copilot 考試大綱：

主題
簡介

主題 1

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.

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

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 4

Developer Use Cases for AI: This section of the exam measures skills of Full-Stack Developers and Cloud Engineers and covers how AI enhances developer productivity across various tasks such as learning new programming languages, debugging, writing documentation, and refactoring code. It discusses how GitHub Copilot integrates with the Software Development Lifecycle (SDLC) and its role in modernizing legacy applications. It also highlights the use of AI for personalized responses, sample data generation, and improving overall efficiency in software development.

主題 5

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.

>> GitHub GitHub-Copilot認證考試解析 <<

準確的GitHub-Copilot認證考試解析 |高通過率的考試材料|免費下載GitHub-Copilot：GitHub CopilotCertification Exam

所有的IT專業人士熟悉的GitHub的GitHub-Copilot考試認證，夢想有有那頂最苛刻的認證，你可以得到你想要的職業生涯，你的夢想。通過KaoGuTi GitHub的GitHub-Copilot考試培訓資料，你就可以得到你想要得的。

最新的 GitHub Certification GitHub-Copilot 免費考試真題 (Q51-Q56):

問題 #51
What are two techniques that can be used to improve prompts to GitHub Copilot? (Select two.)

A. Provide insight on where to get the content from to get a response
B. Provide all information about the utilized files
C. Provide links to supporting documentation
D. Provide specific success criteria

答案：C,D

解題說明：
Improving prompts involves providing specific success criteria and including links to supporting documentation to give GitHub Copilot more context and direction.

問題 #52
In what way can GitHub Copilot and GitHub Copilot Chat aid developers in modernizing applications?

A. GitHub Copilot can refactor applications to align with upcoming standards.
B. GitHub Copilot can suggest modern programming patterns based on your code.
C. GitHub Copilot can directly convert legacy applications into cloud-native architectures.
D. GitHub Copilot can create and deploy full-stack applications based on a single query.

答案：B

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
Select a strategy to increase the performance of GitHub Copilot Chat.

A. Use a single GitHub Copilot Chat query to find resolutions for the collection of technical requirements
B. Optimize the usage of memory-intensive operations within generated code
C. Limit the number of concurrent users accessing GitHub Copilot Chat
D. Apply prompt engineering techniques to be more specific

答案：D

解題說明：
Applying prompt engineering techniques to be more specific is the best strategy to increase the performance and relevance of GitHub Copilot Chat's responses.

問題 #54
Which REST API endpoint is used to modify details about a GitHub Copilot Business subscription? (Each correct answer presents part of the solution. Choose two.)

A. Add teams to the Copilot subscription for an organization
B. Upgrade or downgrade the subscription tier
C. Reassign Copilot seats based on GitHub repository size
D. Remove teams from the Copilot subscription for an organization
E. Migrate Copilot seat assignments between GitHub organizations

答案：A,D

解題說明：
The REST API endpoints are used to add and remove teams from the Copilot Business subscription within an organization.

問題 #55
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 is stored and shared with other users to enhance collaboration.
C. Chat history is used to train the GitHub Copilot model in real-time.
D. Chat history provides context to GitHub Copilot, improving the relevance and accuracy of its code suggestions.

答案：D

解題說明：
Chat history provides valuable context to GitHub Copilot, helping it generate more relevant and accurate code suggestions based on previous interactions and conversations.

問題 #56
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我們瞭解到所有想考 GitHub-Copilot 的考生都希望能有一份可以保證自己順利通過考試的題庫，但事實往往並不如大家想的那麼簡單，偏偏 GitHub-Copilot 這科科目的題庫一直都沒有最新包過的版本在網上出現，這真的是一件讓廣大考生非常苦惱的事情。一些正在準備 GitHub-Copilot 考試的考生，也不必感到茫然失措。因為 KaoGuTi 題庫網帶來了真正可以保證考生通過考試的 GitHub GitHub-Copilot 題庫，只要根據最新的題庫來緊緊抓住考試的動態資訊，就可以輕鬆通過這科考試了。

GitHub-Copilot題庫更新: https://www.kaoguti.com/GitHub-Copilot_exam-pdf.html