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GitHub GitHub-Copilot Exam Overview:

Certification Vendor:GitHub
Exam Name:Microsoft GitHub Copilot
Exam Number:GH-300
Real Exam Qty:60-65
Passing Score:700 / 1000
Related Certifications:GitHub Copilot Certified Professional
Exam Price:$99 USD
Available Languages:English
Exam Format:Multiple Choice
Certificate Validity Period:2 years
Exam Duration:100 minutes
Sample Questions:GitHub GitHub-Copilot Sample Questions
Exam Way:Proctored (Online or Offline Test Centers)
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/github-copilot

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GitHub-Copilot Deutsch Prüfung & GitHub-Copilot Fragen Antworten

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GitHub GitHub-Copilot Prüfungsplan:

ThemaEinzelheiten
Thema 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.
Thema 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.
Thema 3
  • Testing with GitHub Copilot: This section of the exam measures skills of QA Engineers and Test Automation Specialists and covers AI-assisted testing methodologies, including the generation of unit tests, integration tests, and edge case detection. It explains how GitHub Copilot improves test effectiveness by suggesting relevant assertions and boilerplate test cases. The section also discusses privacy considerations, organizational code suggestion settings, and best practices for configuring GitHub Copilot’s testing features.

GitHub CopilotCertification Exam GitHub-Copilot Prüfungsfragen mit Lösungen (Q88-Q93):

88. Frage
When using GitHub Copilot to identify missing tests in your codebase, which of the following is the most important factor to consider?

Antwort: B

Begründung:
GitHub Copilot needs the relevant code and test files in its context window to spot where tests are missing - without that context, it can't accurately identify gaps.


89. Frage
What is the best way to share feedback about GitHub Copilot Chat when using it on GitHub Mobile?

Antwort: B

Begründung:
The best way to share feedback on GitHub Mobile is using the emojis in the Copilot Chat interface, which allows for direct and immediate feedback.


90. Frage
What method can be used to interact with GitHub Copilot?

Antwort: A

Begründung:
GitHub Copilot is an AI-powered code completion tool that integrates directly into supported Integrated Development Environments (IDEs) and code editors, such as Visual Studio Code, JetBrains IDEs, NeoVim, and others. Developers interact with it through their coding environment, where it provides real-time code suggestions, autocompletions, and (in some cases) chat-like capabilities via extensions or plugins (e.g., GitHub Copilot Chat in supported editors).


91. Frage
How does GitHub Copilot Chat help to fix security issues in your codebase?

Antwort: C

Begründung:
Copilot Chat can analyze your code, highlight known vulnerability patterns, and annotate its suggestions with explanations of the security issues and proposed fixes.


92. Frage
Which of the following statements best describes the impact of GitHub Copilot on the software development process?

Antwort: C

Begründung:
GitHub Copilot primarily impacts the software development process by increasing productivity through automating repetitive coding tasks.


93. Frage
......

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