GH-300認證資料 - GH-300考試備考經驗

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Microsoft GH-300 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Responsible AI with GitHub Copilot7%- Validating AI output and mitigation strategies
- Bias and fairness in AI-generated code
- Ethical AI principles and responsible use
- Risks and limitations of generative AI tools
- Privacy and transparency considerations
Topic 2: GitHub Copilot Plans and Features31%- IDE integration (VS Code, Visual Studio, JetBrains)
- Copilot Chat and code suggestion capabilities
- Differences between Copilot Individual, Business, and Enterprise plans
- Implementing and managing Copilot plans for an organization
- Configuration options and productivity features
Topic 3: Privacy Fundamentals and Context Exclusions15%- Content exclusions at repository and organization level
- Effects and limitations of content exclusions
- Safeguards: duplication detector, contractual protection, data collection settings
- Ownership of AI-generated outputs
- Troubleshooting: missing suggestions, exclusions not applied, triggering Copilot
Topic 4: Developer Use Cases for AI14%- Debugging applications
- Documentation generation
- Code generation and refactoring
- Automating repetitive development tasks
- SDLC support and productivity insights
- Learning new languages and frameworks
Topic 5: Prompt Engineering and AI Interaction9%- Improving Copilot responses using context
- Refining prompts for better coding results
- Crafting and refining prompts (prompt engineering)
- Creating effective prompts
Topic 6: How GitHub Copilot Works and Handles Data15%- The prompt creation process
- Privacy and data handling within Copilot
- AI model response generation
- Understanding that private repository content is not used to train models
- How Copilot gathers code context
Topic 7: Testing with GitHub Copilot9%- Editor configuration and org-level suggestion settings
- Identifying edge cases
- Improving test coverage with AI suggestions
- Generating unit tests and integration tests

>> GH-300認證資料 <<

完整的GH-300認證資料和資格考試中的領導者和最佳的GH-300：GitHub Copilot

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最新的 GitHub Administrator GH-300 免費考試真題 (Q115-Q120):

問題 #115
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.)

答案：A,C

解題說明：
GitHub Copilot Individual provides code suggestions and chat features when used with supported IDE extensions like Visual Studio, VS Code, and JetBrains IDEs.
Reference: GitHub Copilot Individual features documentation.


問題 #116
Where is the proxy service hosted?

答案：A

解題說明：
The proxy service for GitHub Copilot is hosted on Microsoft Azure.
Reference: GitHub Copilot infrastructure and hosting information.


問題 #117
How can the concept of fairness be integrated into the process of operating an AI tool?

答案：D

解題說明：
Fairness in AI tools is achieved by training the data and algorithms to be free from biases. This ensures that the tool treats all users equitably and avoids discriminatory outcomes.
Reference: Microsoft's AI principles and fairness guidelines.


問題 #118
You use GitHub Copilot Chat to debug a function.
You discover that GitHub Copilot is using irrelevant chat threads to generate output.
You need to ensure that GitHub Copilot only uses new input to generate output.
What should you do, and how will this affect the prompt process flow?

答案：C

解題說明：
GitHub Copilot Chat uses conversation history as part of the context for later responses. GitHub ' s prompt- engineering guidance recommends keeping chat history relevant, while GitHub ' s AI-usage guidance specifically advises starting a new conversation when moving to unrelated work because a long thread carries prior history into subsequent requests. In this scenario, irrelevant earlier chat threads are contaminating the context used for debugging. Starting a new Copilot Chat session creates a clean conversational context for the new prompt, so the previous thread is no longer included as model input for that new conversation.
Continuing in the same chat would preserve the unwanted context. Therefore, the correct action is to start a new chat, with the effect of removing the prior chat history from the new model input.


問題 #119
What is few-shot prompting?

答案：C

解題說明：
"Few-shot prompting is a technique where you provide examples of the mechanism or output you want the model to follow. These examples guide the AI's responses." This proves that option A is correct.
References: GitHub Copilot prompt engineering documentation.


問題 #120
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