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Microsoft GH-300 考試大綱:
| 主題 | 簡介 |
|---|
| 主題 1 | - Developer Use Cases for AI: Targeting Software Engineers and Technical Leads, this domain elaborates on how AI improves developer productivity across common tasks like learning new languages, translation, documentation, debugging, data science, and refactoring. It discusses Copilot’s support in software development lifecycle management and highlights its limitations. Use of the productivity API to track Copilot’s impact is also included.
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| 主題 2 | - Privacy Fundamentals and Context Exclusions: This domain focuses on Security Engineers and Compliance Officers and addresses improving code quality with Copilot’s test suggestions and security optimizations. It covers identification of security vulnerabilities, performance enhancements, and privacy features like content exclusions at repository and organization levels with explanation of their limitations. Candidates learn about safeguarding mechanisms such as duplication detection, contractual protections, security checks, and troubleshooting guide for common Copilot issues including context exclusions and suggestion gaps.
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| 主題 3 | - Responsible :This section of the exam measures skills of AI Ethics Officers and Risk Managers and covers the responsible and ethical usage of AI technologies. It explains the risks and limitations associated with generative AI tools, including biases in training data and the need to validate AI outputs. Candidates learn how to operate AI responsibly by identifying potential harms such as bias, fairness, privacy concerns, and mitigating these harms by applying ethical AI principles.
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| 主題 4 | - Domain 4: Prompt Crafting and Prompt Engineering This section measures skills of Software Developers and AI Interaction Designers in effectively crafting prompts to optimize Copilot’s output. It reviews foundational concepts such as prompt components, the role of language in prompting, zero-shot vs. few-shot prompting, and how chat history influences responses. Best practices and engineering principles for prompt design and training methods are also covered.
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| 主題 5 | - GitHub Copilot Plans and Feature: This domain targets Product Managers and DevOps Engineers and focuses on understanding the various GitHub Copilot subscription plans like Individual, Business, and Enterprise, including distinctions and management features. It covers how Copilot is integrated into IDEs, different triggering methods for code suggestions, organizational policy management, subscription administration via API, and effective use of Copilot Chat and Knowledge Bases. Candidates also learn about CLI usage and configuration.
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>> GH-300考試內容 <<
GH-300最新試題,GH-300資訊
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最新的 GitHub Administrator GH-300 免費考試真題 (Q53-Q58):
問題 #53
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 increase development lead time by providing irrelevant suggestions.
- B. GitHub Copilot may introduce security vulnerabilities by suggesting code with known exploits.
- C. GitHub Copilot's suggestions may not always reflect best practices or the latest coding standards.
- D. GitHub Copilot may decrease developer velocity by requiring too much time in prompt engineering.
答案:B,C
解題說明:
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.
問題 #54
Which principle emphasizes that AI systems should be understandable and provide clear information on how they work?
- A. Inclusiveness
- B. Fairness
- C. Accountability
- D. Transparency
答案:D
解題說明:
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 arrives at its decisions and suggestions.
Reference: Microsoft's AI principles and ethical guidelines.
問題 #55
What are the different ways to give context to GitHub Copilot to get more precise responses? (Each correct answer presents part of the solution. Choose two.)
- A. Utilize chat variables like *file to anchor the conversation within the specific context of the files or editors in use.
- B. Access developer's previous projects and code repositories to understand their coding style without explicit permission.
- C. Engage with chat participants such as @workspace to incorporate collaborative context into the responses.
- D. Utilize to interpret developer's thoughts and intentions without any code or comments.
答案:A,C
解題說明:
Exact extracts:
* "You can give Copilot Chat additional context using variables such as @workspace or @file to scope the conversation." References: GitHub Copilot Chat variables and context documentation.
問題 #56
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)
- A. Monthly as a subscription
- B. Free (not billed) for all open source projects
- C. Annually as a subscription
- D. Monthly, as a metered service based on actual consumption
答案:A,C
解題說明:
GitHub Copilot Individual is billed as a monthly or annual subscription.
問題 #57
How does GitHub Copilot Chat help in understanding the existing codebase?
- A. By answering questions about the code and generating explanations.
- B. By automatically refactoring code to improve readability.
- C. By running code linters and formatters.
- D. By providing visual diagrams of the code structure.
答案:A
解題說明:
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.
問題 #58
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