GH-300 GitHub Copilot Certification Exam Topics, Test Objectives and Practice Questions

The GitHub Copilot GH-300 certification validates your ability to use AI-powered coding tools responsibly and effectively in real-world software development.

This exam is designed for developers, administrators, and project managers who work with GitHub and want to show that they can make the most of GitHub Copilot
to improve productivity, enhance code quality, and manage AI responsibly.

This certification is maintained by GitHub and delivered through the Microsoft Azure Certifications department. It remains valid for two years from the date you earn it.

Audience Profile

The GH-300 exam is intended for professionals who:

  • Have hands-on experience using GitHub Copilot in the IDE, the command line interface, and on GitHub.com
  • Understand responsible and ethical AI practices
  • Know how to configure, manage, and optimize GitHub Copilot for individuals, teams, and organizations
  • Can apply GitHub Copilot to tasks such as debugging, writing documentation, refactoring, and testing

Exam Design

The GH-300 GitHub Copilot exam measures both knowledge and practical application. It tests your ability to understand how GitHub Copilot works, how to use it efficiently, and how to ensure responsible AI usage.

Most questions focus on features that are generally available, but some may include commonly used preview features.

Domains and Weightings

Domain Description Weight
1. Responsible AI Covers responsible usage, risks, validation, and mitigation of AI-generated code. 7%
2. GitHub Copilot Plans and Features Reviews Copilot product tiers, IDE integration, Chat, CLI use, and Enterprise Knowledge Bases. 31%
3. How GitHub Copilot Works and Handles Data Explores data flows, prompt generation, model lifecycle, and privacy mechanisms. 15%
4. Prompt Crafting and Engineering Focuses on prompt design, context, and communication with Copilot. 9%
5. Developer Use Cases for AI Explains how Copilot improves productivity, learning, testing, and software development. 14%
6. Testing with GitHub Copilot Looks at test generation, identifying edge cases, and configuration management. 9%
7. Privacy Fundamentals and Context Exclusions Reviews content exclusions, duplication detection, and security safeguards. 15%

Domain Highlights

1. Responsible AI

Learn how to use AI responsibly by recognizing its limitations, biases, and ethical implications.
Understand how to validate outputs, mitigate harm, and ensure fairness and transparency in AI-generated code.

2. GitHub Copilot Plans and Features

Identify the differences between Copilot Individual, Business, and Enterprise plans.

Learn to manage organization-wide policies, configure file exclusions, monitor audit logs, and use Copilot Chat, CLI, and Knowledge Bases effectively.

3. How GitHub Copilot Works and Handles Data

Understand how Git, GitHub and GitHub Copilot gathers context, builds prompts, filters input through proxy services, and produces responses from large language models.
Learn how Copilot handles, stores, and protects user data.

4. Prompt Crafting and Engineering

Master the art of writing effective prompts. Learn the difference between zero-shot and few-shot prompting, and how to use chat history to improve results.
Follow best practices for clarity, context, and optimization.

5. Developer Use Cases for AI

See how Copilot assists in writing, debugging, modernizing code, generating documentation, learning new frameworks, and improving productivity
at every stage of the software development lifecycle.

6. Testing with GitHub Copilot

Learn how to generate and refine test cases, find edge cases, and improve existing tests.
Understand how Copilot can be used to write better assertions, add unit tests, and strengthen code reliability.

7. Privacy Fundamentals and Context Exclusions

Learn to configure and enforce content exclusions, protect proprietary data, use duplication detection, and apply security and privacy safeguards
to maintain compliance and trust.

Preparation Resources

Courses

GitHub Copilot Fundamentals (Part 1 of 2)
Duration: 2 hours and 44 minutes
Learning Path: 6 modules

GitHub Copilot Fundamentals (Part 2 of 2)
Duration: 3 hours and 20 minutes
Learning Path: 6 modules

These courses cover the fundamentals of GitHub Copilot, ethical AI, prompt creation, and advanced use cases.

Practice for the Exam

Practice Assessments
You can simulate the real exam environment using practice assessments. These practice exams help you understand the style, wording, and level of difficulty of official questions.
They also help you identify knowledge gaps and measure your readiness.

Exam Sandbox
Experience the look and feel of the real exam before taking it. The sandbox lets you explore different question types and become familiar with the testing interface.

Taking the GitHub Copilot Exam

  • Duration: 100 minutes
  • Question Types: Multiple choice and multiple response
  • Delivery: Proctored (online or in-person)
  • Passing Score: 700 out of 1000
  • Cost: 99 USD (price varies by region)
  • Languages: English, Spanish, Portuguese (Brazil), Korean, and Japanese

If you do not pass the exam on your first attempt, you can retake it after 24 hours. Wait times for additional retakes depend on the number of prior attempts.

Accessibility and Accommodations

Testing accommodations are available for candidates who require them. Details can be found on the official registration page.

Registration and Certification Management

Like the GitHub Foundations and the GitHub Actions certifications, the GH-300 exam is delivered through Pearson VUE.

It is recommended that you register using a personal Microsoft Account instead of a work or school account to ensure your certification record remains accessible.

Key Details at a Glance

  • Level: Intermediate
  • Product: GitHub Copilot
  • Roles: Developer, App Maker, DevOps Engineer, Technology Manager
  • Domains: 7
  • Validity: 2 years
  • Provider: GitHub (administered by Microsoft Azure)

Practice Questions and Study Resources

To prepare more effectively, review hundreds of real-style GH-300 GitHub Copilot practice questions and answers here:

CertificationExams.pro GitHub Copilot GH-300 Practice Questions

There are also corresponding Udemy courses for the GitHub Actions exam and GitHub Foundations certification if you are interested in rounding out your GitHub credentials.

You can also take full-length simulated exams with detailed explanations through this course on Udemy:

The Official GitHub Copilot Certification Practice Exams

GH-300 GitHub Copilot Certification Course on Udemy

GitHub Copilot Practice Exams on Udemy.

These resources help you understand the depth, scope, and difficulty of the official GH-300 exam.
They allow you to practice under realistic conditions and track your improvement.

The GitHub Copilot GH-300 certification is ideal for professionals who want to demonstrate that they can use AI responsibly and effectively to enhance software development.

With focused study on prompt engineering, privacy fundamentals, and feature management, you can prepare to pass the exam and become a certified Copilot expert.


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