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GitHub-Copilot높은통과율인기덤프시험은저희덤프로패스가능

ITDumpsKR는 여러분이GitHub 인증GitHub-Copilot인증시험 패스와 추후사업에 모두 도움이 되겠습니다. ITDumpsKR제품을 선택함으로 여러분은 시간도 절약하고 돈도 절약하는 일석이조의 득을 얻을수 있습니다. 또한 구매후 일년무료 업데이트 버전을 받을수 있는 기회를 얻을수 있습니다. GitHub 인증GitHub-Copilot 인증시험패스는 아주 어렵습니다. 자기에 맞는 현명한 학습자료 선택은 성공의 지름길을 내딛는 첫발입니다. 퍼펙트한 자료만이 시험에서 성공할수 있습니다. ITDumpsKR시험문제와 답이야 말로 퍼펙트한 자료이죠. ITDumpsKR GitHub 인증GitHub-Copilot인증시험자료는 100% 패스보장을 드립니다.

GitHub GitHub-Copilot 시험요강:

주제
소개

주제 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.

주제 2

• 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.

주제 3

• How GitHub Copilot Works and Handles Data: This section of the exam measures the skills of Data Security Specialists and DevOps Engineers and covers how GitHub Copilot processes data, handles code suggestions and manages privacy concerns. It explains the data pipeline for Copilot’s suggestions, how it gathers context, and how prompts are processed through its AI model. The section also discusses the limitations of AI-generated code, the effects of historical data on suggestions, and the role of prompt crafting. Best practices for improving prompt effectiveness and optimizing AI-generated responses are included.

주제 4

• 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.

주제 5

• 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.

주제 6

• 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.

 

>> GitHub-Copilot높은 통과율 인기덤프 <<

GitHub-Copilot유효한 최신덤프 - GitHub-Copilot인기자격증 시험덤프 최신자료

여러분은 우리. ITDumpsKR의GitHub GitHub-Copilot시험자료 즉 덤프의 문제와 답만 있으시면GitHub GitHub-Copilot인증시험을 아주 간단하게 패스하실 수 있습니다.그리고 관련 업계에서 여러분의 지위상승은 자연적 이로 이루어집니다. ITDumpsKR의 덤프를 장바구니에 넣으세요. 그리고 ITDumpsKR에서는 무료로 24시간 온라인상담이 있습니다.

최신 GitHub Certification GitHub-Copilot 무료샘플문제 (Q17-Q22):

질문 # 17
Which GitHub Copilot plan allows for prompt and suggestion collection?

• A. GitHub Copilot Codespace
• B. GitHub Copilot Individuals
• C. GitHub Copilot Business
• D. GitHub Copilot Enterprise

정답：D

설명：
GitHub Copilot Enterprise allows for prompt and suggestion collection, enabling organizations to analyze and improve their usage of the tool.

 

질문 # 18
When can GitHub Copilot still use content that was excluded using content exclusion?

• A. If the contents of an excluded file are referenced in code that is not excluded, for example function calls.
• B. When the repository level settings allow overrides by the user.
• C. If the content exclusion was configured at the enterprise level, and is overwritten at the organization level.
• D. When the user prompts with @workspace.

정답：A

설명：
GitHub Copilot can still use excluded content if it is referenced in code that is not excluded, such as function calls.

 

질문 # 19
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. Annually as a subscription
• C. Monthly as a subscription
• D. Free (not billed) for all open source projects

정답：B,C

설명：
GitHub Copilot Individual is billed as a monthly or annual subscription.

 

질문 # 20
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 Chat can provide guidance and support for common coding tasks and challenges in the targeted programming language.
• B. GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.
• C. GitHub Copilot can convert comments into code to grasp the syntax and nuances of a new programming language.
• D. GitHub Copilot's /understand command will help GitHub Copilot to understand code written in a targeted programming language.

정답：A,C

설명：
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.

 

질문 # 21
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 decrease developer velocity by requiring too much time in prompt engineering.
• B. GitHub Copilot's suggestions may not always reflect best practices or the latest coding standards.
• C. GitHub Copilot may introduce security vulnerabilities by suggesting code with known exploits.
• D. GitHub Copilot may increase development lead time by providing irrelevant suggestions.

정답：B,C

설명：
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.

 

질문 # 22
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