[Q52-Q74] 2026 Updated GH-300 Tests Engine pdf – All Free Dumps Guaranteed!
Posted On October 29, 2026
2026 Updated GH-300 Tests Engine pdf – All Free Dumps Guaranteed!
Latest GitHub Administrator GH-300 Actual Free Exam Questions
Microsoft GH-300 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Developer Use Cases for AI | 14% | – Learning new languages and frameworks – Documentation generation – SDLC support and productivity insights – Code generation and refactoring – Debugging applications – Automating repetitive development tasks |
| Topic 2: Privacy Fundamentals and Context Exclusions | 15% | – Ownership of AI-generated outputs – Content exclusions at repository and organization level – Troubleshooting: missing suggestions, exclusions not applied, triggering Copilot – Safeguards: duplication detector, contractual protection, data collection settings – Effects and limitations of content exclusions |
| Topic 3: Responsible AI with GitHub Copilot | 7% | – Ethical AI principles and responsible use – Privacy and transparency considerations – Bias and fairness in AI-generated code – Risks and limitations of generative AI tools – Validating AI output and mitigation strategies |
| Topic 4: GitHub Copilot Plans and Features | 31% | – Differences between Copilot Individual, Business, and Enterprise plans – Configuration options and productivity features – IDE integration (VS Code, Visual Studio, JetBrains) – Copilot Chat and code suggestion capabilities – Implementing and managing Copilot plans for an organization |
| Topic 5: How GitHub Copilot Works and Handles Data | 15% | – How Copilot gathers code context – The prompt creation process – Understanding that private repository content is not used to train models – AI model response generation – Privacy and data handling within Copilot |
| Topic 6: Prompt Engineering and AI Interaction | 9% | – Improving Copilot responses using context – Crafting and refining prompts (prompt engineering) – Refining prompts for better coding results – Creating effective prompts |
| Topic 7: Testing with GitHub Copilot | 9% | – Editor configuration and org-level suggestion settings – Improving test coverage with AI suggestions – Identifying edge cases – Generating unit tests and integration tests |
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