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Exam Information
Official specifications published by Microsoft
Exam Format
100 min
65
700
Intermediate
Registration
$99 USD
Pearson VUE or online proctoring
English, Spanish, Portuguese (Brazil), Korean +1 more
Validity
2 years
Pass the current version of the exam; Complete continuing education requirements (when available); Pass a higher-level GitHub certification
GH-300 Exam Topics and Domains
GH-300 is organized into 7 weighted domains. Expect to work with GitHub Copilot Chat, GitHub Copilot, GitHub Copilot Business, GitHub Enterprise, and more.
1
Responsible AI
7%
AI Ethics and Limitations
Limitations of Generative AI ToolsEthical Considerations
- Explain the limitations of using generative AI tools
- Describe ethical considerations when using AI for code generation
- Identify potential security risks in AI-generated code
2
GitHub Copilot Plans and Features
31%
GitHub Copilot SKUs and Pricing
Different GitHub Copilot PlansSubscription Management
- Compare and contrast different GitHub Copilot plans
- Describe subscription management processes
- Understand feature availability across different SKUs
Core Features and Capabilities
Code Completion and SuggestionsGitHub Copilot ChatAdvanced Features
- Identify core features of GitHub Copilot
- Understand platform-specific capabilities
- Describe advanced features and their use cases
3
How GitHub Copilot Works and Handles Data
15%
Data Processing and Model Training
Input Processing TypesModel Training and Data Sources
- Describe different types of input processing for GitHub Copilot
- Understand how training data influences suggestions
- Explain the model's learning process
Data Privacy and Security
Data Transmission and Storage
- Understand data handling practices
- Describe security measures for data transmission
4
Prompt Crafting and Prompt Engineering
9%
Effective Prompt Techniques
Prompt Design PrinciplesAdvanced Prompting Strategies
- Create effective prompts for code generation
- Apply prompt engineering best practices
- Optimize prompts for specific use cases
5
Developer Use Cases for AI
14%
Common Development Scenarios
Code Generation Use CasesCode Refactoring and OptimizationDocumentation and Comments
- Identify effective use cases for GitHub Copilot
- Apply AI assistance to common development tasks
- Understand when AI is most beneficial
6
Testing with GitHub Copilot
9%
Test Generation and Coverage
Unit Test GenerationIntegration and End-to-End TestingEdge Cases and Error Handling
- Use GitHub Copilot to generate various test types
- Identify edge cases with AI assistance
- Improve test coverage using Copilot
7
Privacy Fundamentals and Context Exclusions
15%
Privacy Configuration and Controls
Organization-Level Privacy SettingsContext ExclusionsUser Privacy Controls
- Configure privacy settings at various levels
- Implement context exclusions effectively
- Understand compliance and privacy requirements
Security Best Practices
Secure Code Practices
- Implement security best practices with Copilot
- Configure security scanning for AI-generated code
How do I earn this certification?
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
The most effective way to prepare for GH-300 is by using the PlanetCert Simulator to practice questions and review detailed explanations.
What's changed on this exam?
Who should take this exam?
This exam is typically taken by Software Developers and DevOps Engineers.
- Foundational understanding of GitHub Copilot as a product
- Hands-on experience with GitHub Copilot in development workflows
- Experience with at least one programming language
- Basic understanding of software development practices
- Familiarity with IDE usage (VS Code, Visual Studio, or JetBrains)