Free Practice Questions for GitHub Certified Copilot Specialist (GH-300) Certification
- Exam guide version:
- August 7, 2026
- Guide checked for updates:
- 18 Sep 2026
- Question bank created:
- 1 Apr 2026
- Question bank last updated:
- 7 Oct 2026
Study with 346 exam-style practice questions designed to help you prepare for the GitHub Certified Copilot Specialist (GH-300). All questions are aligned with the latest exam guide and include detailed explanations to help you master the material.
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Exam Details
Key information about GitHub Certified Copilot Specialist (GH-300)
- Multiple choice
- Ordering
- Matching
Candidates with expertise in using GitHub Copilot to improve software development productivity, quality, and security, familiar with GitHub fundamentals and one or more programming languages.
Most questions cover features that are general availability (GA). The exam may contain questions on Preview features if those features are commonly used.
January 2026
Exam Topics & Skills Assessed
Skills measured (from the official study guide)
1: Use GitHub Copilot responsibly
1.1: Understand responsible AI principles
- Describe risks and limitations of Generative AI tools - Describe ethical and responsible AI usage - Identify potential harms and mitigation strategies of AI usage
1.2: Validate and operate AI tools
- Explain the need to validate AI output - Identify how to operate GitHub Copilot responsibly
2: Use GitHub Copilot features
2.1: Use GitHub Copilot in the IDE
- Enable Copilot in the IDE - Trigger Copilot through inline suggestions, chat, CLI, and agent mode - Configure content exclusions for specific files or repositories (app knowledge)
2.2: Use GitHub Copilot CLI
- Define GitHub Copilot CLI and how it benefits developers - Identify the steps for installing GitHub Copilot CLI - Describe key GitHub Copilot CLI features and commands - Use GitHub Copilot CLI interactively and in sessions - Generate scripts and manage files with GitHub Copilot CLI
2.3: Use GitHub Copilot features and capabilities
- Use Agent Mode, Copilot Edits, and MCP for enhanced development and workflows; manage Agent Sessions and delegate tasks to Sub-Agents for optimized context usage - Use Copilot for code review and coding assistance - Utilize Spaces, Spark, Pull Request summaries, and customizable review standards via instructions files - Understand the limits, options, feedback, and commands of GitHub Copilot Chat; include prompt file reuse for consistent responses
2.4: Manage organization-wide settings and policies
- Configure organization-wide policy management; enable Copilot Code Review policies and manage feature availability across IDEs and github.com - Utilize audit log events - Manage subscriptions using the REST API
3: Understand GitHub Copilot data and architecture
3.1: Describe data handling and flow
- Explain data usage, flow, and sharing - Describe input processing and prompt building - Explain proxy filtering and post-processing
3.2: Understand lifecycle and limitations
- Visualize code suggestion lifecycle - Describe limitations of LLMs and Copilot
4: Apply prompt engineering and context crafting
4.1: Craft effective prompts
- Describe prompt structure and context - Understand how context is determined - Use zero-shot and few-shot prompting - Apply best practices for prompt crafting
4.2: Engineer prompts for performance
- Explain prompt engineering principles - Describe prompt process flow and chat history usage
5: Improve developer productivity with GitHub Copilot
5.1: Enhance productivity and code quality
- Use Copilot for code generation, refactoring, and documentation - Accelerate learning and reduce context switching - Generate sample data and modernize legacy code
5.2: Support testing and security
- Generate unit and integration tests - Identify edge cases and write assertions - Suggest security improvements and performance optimizations
6: Configure privacy, content exclusions, and safeguards
6.1: Manage privacy settings and exclusions
- Configure content exclusions and editor settings - Describe ownership and limitations of outputs
6.2: Apply safeguards and troubleshoot
- Enable suggestions matching public code filtering - Resolve issues with suggestions and content exclusions
Techniques & products