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Microsoft GH-300 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Copilot
Exam Number:GH-300
Exam Price:$99 USD
Available Languages:Portuguese (Brazil), Spanish, Korean, English, Japanese
Passing Score:700 / 1000
Real Exam Qty:65
Certificate Validity Period:1 year (renewable)
Exam Duration:100 minutes
Related Certifications:GitHub Foundations
GitHub Actions
Exam Format:Multiple-choice, Scenario-based
Sample Questions:Microsoft GH-300 Sample Questions
Exam Way:Online proctored exam (Pearson VUE)
Pre Condition:No formal prerequisites. Microsoft recommends practical experience using GitHub Copilot in an IDE and a general understanding of software development principles.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/github-copilot

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GH-300認證考試的學習資料

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Microsoft GH-300 考試大綱:

主題簡介
主題 1
  • 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 2
  • 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 3
  • 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.
主題 4
  • 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.

最新的 GitHub Administrator GH-300 免費考試真題 (Q32-Q37):

問題 #32
How is GitHub Copilot Individual billed? (Each correct answer presents part of the solution. Choose two.)

答案:B,C

解題說明:
GitHub Copilot Individual is billed as a monthly or annual subscription.
Reference: GitHub Copilot Individual pricing.


問題 #33
What is the correct way to exclude specific files from being used by GitHub Copilot Business during code suggestions?

答案:D


問題 #34
What is the main purpose of the duplication detection filter in GitHub Copilot?

答案:C


問題 #35
How can GitHub Copilot be limited when it comes to suggesting unit tests?

答案:B

解題說明:
GitHub Copilot often suggests basic unit tests and may not cover all edge cases or complex integration scenarios, requiring developers to supplement its suggestions.
Reference: GitHub Copilot testing limitations.


問題 #36
Which of the following does GitHub Copilot's LLM derive context from when producing a response?

答案:B

解題說明:
"Copilot may use context from neighboring or related files in the project to improve the accuracy of its suggestions." This confirms that context is enriched with information from related files, making option C correct.
References: GitHub Copilot context derivation documentation.


問題 #37
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