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[100% Off] [New] Gh-300 Github Copilot Exam: 310+ Practice Questions
GitHub Copilot Certification Exam: Master Copilot Enterprise, Prompt Engineering & Secure Coding | Detailed Explanations
What you’ll learn
- Master GH-300 exam topics: Responsible AI
- Copilot plans/features
- data handling
- prompt engineering
- testing
- privacy & troubleshooting.
- Improve practical prompt-engineering and in-IDE Copilot workflows.
- Apply secure-coding best practices and testing strategies with Copilot.
- Build exam-taking skills via 310+ realistic
- domain-aligned practice questions and explanations.
Requirements
- Basic programming experience (familiarity with at least one language).
- Familiarity with Git/GitHub fundamentals (clone
- commit
- PR).
- Comfortable using an IDE or Code editors.
- Willingness to practice and review detailed explanations.
Description
Master the GitHub Copilot Certification (GH-300) Exam with 310+ Practice Questions on GitHub Copilot, Prompt Engineering, and Secure Coding!Get exam-ready for Microsoft’s GH-300: GitHub Copilot Certificate with this comprehensive practice test, featuring 310+ exam-style questions and detailed answer explanations, all structured to match the official Microsoft study guide and domain weightings.
Whether you’re a developer, DevOps engineer, project manager, or technical lead aiming to validate your Copilot skills, this book helps you build real exam confidence fast.
Why Professionals Preparing for GH-300 Choose Practice Test
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310+ Realistic Questions with Explanations
Covers every topic from Responsible AI to Copilot Enterprise, Prompt Engineering, and CLI-based productivity.
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100% Aligned to the Exam Blueprint
Every questions mirrors the official GH-300 domains with the exact skill statements tested, ensuring you stay focused on what actually matters.
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Practice-Based Learning Approach
Each question includes a clear, concise explanation so you not only memorize the answer—but understand the reasoning behind it.
Coverage of GH-300 Exam Domains
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Responsible AI (7%)
Q&A on ethical AI, validation, risk mitigation, and responsible Copilot usage. -
GitHub Copilot Plans & Features (31%)
Compare Copilot Individual, Business, and Enterprise. Master in-IDE features, audit logs, API management, Knowledge Bases, and CLI usage. -
How Copilot Works & Handles Data (15%)
Understand Copilot’s data flow, suggestion lifecycle, context limitations, and privacy behaviors across SKUs. -
Prompt Engineering (9%)
Sharpen your prompt crafting and engineering skills—zero-shot vs. few-shot, chat history, and best practices. -
Developer Use Cases (14%)
Debugging, documentation, legacy code modernization, sample data generation, SDLC integration, and productivity API. -
Testing with Copilot (9%)
Generate unit/integration/edge tests, configure org-level suggestions, and explore SKU-level privacy differences. -
Privacy & Troubleshooting (15%)
Work with exclusions, duplication detection, performance tuning, and real-world troubleshooting for Copilot suggestions.
AI Engineers • Software Developers • DevOps Professionals • Technical Leads • Software Project Managers • Copilot Enterprise Users • QA/Test Engineers • Copilot Admins • GH-300 Exam Candidates
Disclaimer: This Practice test is independently created and is not affiliated with or endorsed by Microsoft or GitHub.
