GH-300最新的考古題

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Microsoft GH-300 考試大綱：

主題簡介
主題 1
  • 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.
主題 2
  • How GitHub Copilot Works and Handles Data: Designed for Machine Learning Engineers and Data Privacy Specialists, this section covers the data lifecycle and processing behind Copilot’s code suggestions. It explains how context is gathered, prompts constructed, responses generated, and post-processed through proxy services. Candidates understand Copilot’s data policies, handling of inputs, and limitations such as context window size and data age influencing suggestion relevance.
主題 3
  • Domain 6: Testing with GitHub Copilot: This section measures abilities of QA Engineers and Test Automation Specialists to use Copilot for test generation, including unit and integration tests. It explains how Copilot can identify edge cases and assist in writing assertions. The domain also covers different Copilot subscription SKUs, privacy considerations, organizational code suggestion settings, and configuration files related to Copilot.
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.
主題 5
  • 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.

>> GH-300測試 <<

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最新的 GitHub Administrator GH-300 免費考試真題 (Q128-Q133):

問題 #128
What is the primary role of the /optimize slash command in Visual Studio?

答案：B

解題說明：
"/optimize Analyze and improve running time of the selected code." This statement from Visual Studio Copilot Chat slash command documentation shows that the role of /optimize is specifically to analyze and improve the runtime performance of selected code, aligning directly with option B.
References: GitHub Copilot official documentation and Visual Studio Copilot Chat command reference.


問題 #129
When using an IDE with a supported GitHub Copilot plug-in, which Chat features can be accessed from within the IDE? (Each correct answer presents part of the solution. Choose two.)

答案：C,D

解題說明：
Exact extracts:
* "In supported IDEs, you can ask Copilot Chat to explain code or suggest improvements." References: GitHub Copilot Chat IDE integration documentation.


問題 #130
Which of the following scenarios best describes the intended use of GitHub Copilot Chat as a tool?

答案：A

解題說明：
GitHub Copilot Chat is designed to be a productivity enhancer, not a replacement for human developers. It provides suggestions and assists with coding tasks, but the final decision and validation always rest with the developer. Copilot Chat is meant to augment the developer's workflow, making it faster and more efficient, but it does not remove the need for human oversight and judgment.
Reference: GitHub Copilot official documentation on the tool's purpose and usage.


問題 #131
How can the insights gained from the metrics API be used to improve the development process in conjunction with GitHub Copilot?

答案：B

解題說明：
"The Copilot metrics API provides insights into how suggestions are being accepted and used, enabling teams to analyze the relative impact of Copilot-generated code versus manually written code." This confirms option D is correct, as the API enables analysis of Copilot versus manual coding.
References: GitHub Copilot metrics API documentation.


問題 #132
When can GitHub Copilot still use content that was excluded using content exclusion?

答案：C

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


問題 #133
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