Use this quick start guide to collect all the information about Microsoft GitHub Copilot (GH-300) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the GH-300 Microsoft GitHub Copilot exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Microsoft GitHub Copilot certification exam.
The Microsoft GitHub Copilot certification is mainly targeted to those candidates who want to build their career in GitHub domain. The Microsoft GitHub Copilot exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Microsoft GitHub Copilot.
Microsoft GitHub Copilot Exam Summary:
| Exam Name | Microsoft GitHub Copilot |
| Exam Code | GH-300 |
| Exam Price | $99 (USD) |
| Duration | 100 mins |
| Number of Questions | 65 |
| Passing Score | 700 / 1000 |
| Books / Training | GH-300T00-A: GitHub Copilot |
| Schedule Exam | Pearson VUE |
| Sample Questions | Microsoft GitHub Copilot Sample Questions |
| Practice Exam | Microsoft GH-300 Certification Practice Exam |
Microsoft GH-300 Exam Syllabus Topics:
| Topic | Details |
|---|---|
Use GitHub Copilot responsibly (15-20%) |
|
| 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 |
| Validate and operate AI tools |
- Explain the need to validate AI output - Identify how to operate GitHub Copilot responsibly |
Use GitHub Copilot features (25-30%) |
|
| Use GitHub Copilot in the IDE |
- Enable Copilot in the IDE - Trigger Copilot through inline suggestions, chat, CLI, and Plan Mode - Exclude specific files or repositories (app knowledge) |
| 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 |
| Use GitHub Copilot features and capabilities |
- Use Agent Mode, Edit Mode, 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 |
| 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 |
Understand GitHub Copilot data and architecture (10-15%) |
|
| Describe data handling and flow |
- Explain data usage, flow, and sharing - Describe input processing and prompt building - Explain proxy filtering and post-processing |
| Understand lifecycle and limitations |
- Visualize code suggestion lifecycle - Describe limitations of LLMs and Copilot |
Apply prompt engineering and context crafting (10-15%) |
|
| 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 |
| Engineer prompts for performance |
- Explain prompt engineering principles - Describe prompt process flow and chat history usage |
Improve developer productivity with GitHub Copilot (10-15%) |
|
| 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 |
| Support testing and security |
- Generate unit and integration tests - Identify edge cases and write assertions - Suggest security improvements and performance optimizations |
Configure privacy, content exclusions, and safeguards (10-15%) |
|
| Manage privacy settings and exclusions |
- Configure content exclusions and editor settings - Describe ownership and limitations of outputs |
| Apply safeguards and troubleshoot |
- Enable duplication detection and security warnings - Resolve issues with suggestions and exclusions |
To ensure success in Microsoft GitHub Copilot certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Microsoft GitHub Copilot (GH-300) exam.
