Duration: 100 minutes

Total Questions: 65 questions, approximately

Passing Score: 700/1000 (scaled score)

Languages Available: English, Spanish, Portuguese (Brazil), Korean, Japanese

GitHub Copilot GH-300 Exam Domains

The exam consists of seven domains with varying weightings. Below is an overview of the domains and their importance for the exam:

As indicated in the table, Domain 2: GitHub Copilot Plans & Features carries the most significant weight at 31%, underscoring its importance in the exam. While this domain is critical, successful candidates must also focus on all domains to ensure a well-rounded understanding of GitHub Copilot’s functionality and application.

For optimal performance on the GH-300 exam, it is essential to approach each domain holistically. The domains are interrelated, and proficiency in one often supports a deeper understanding of others. Neglecting any single domain could create knowledge gaps that may affect overall exam readiness and performance.

GH-300 Exam Topics List

This section outlines the primary areas that will be tested in the GH-300 exam. Understanding these topics will help you focus on the areas with the most weight in the exam.

1. Responsible AI and Ethical Use of Copilot (7%)

   • Ethical implications of using AI in software development

   • Understanding risks, limitations, and biases in generative AI

   • Ensuring fairness and transparency in AI-driven code suggestions

2. GitHub Copilot Plans & Features (31%)

   • Key differences between Individual, Business, and Enterprise plans

   • Features of GitHub Copilot: code completion, pull-request summaries, and knowledge bases

   • Access to Copilot’s chat, suggestions, and integrations

3. How GitHub Copilot Works & Handles Data (15%)

   • Copilot’s architecture and the code suggestion generation process

   • The data lifecycle, including data flow, context windows, filters, and limitations

   • How Copilot interacts with code and data

4. Prompt Crafting & Prompt Engineering (9%)

   • Best practices for writing effective and clear prompts

   • Techniques like zero-shot and few-shot prompting for better code completions

   • Improving accuracy by tailoring prompts for specific needs

5. Developer Use Cases for AI-Assisted Coding (14%)

   • Copilot’s role in code completion, debugging, refactoring, and multi-language support

   • Use cases for Copilot in real-world development workflows

6. Testing with GitHub Copilot (9%)

   • Using Copilot for generating unit tests, integration tests, and detecting edge cases

   • Configuring IDEs/editors to integrate Copilot for testing workflows



7. Privacy Fundamentals & Context Exclusions (15%)

   • Managing content exclusions and controlling data ownership

   • Setting repository filters and configuring suggestion collection

   • Adjusting context windows and managing privacy settings

Study Materials and Resources

Before attempting the GitHub Copilot (GH-300), it is highly recommended to review these study materials. These resources are specifically designed to help you grasp the intricate concepts and features addressed in the exam.

1. Microsoft Learn – This website offers a variety of learning paths for different Microsoft certifications. For the GH-300 certification exam, you can focus on the following topics:

   • GH-300 Overview

   • GH-300 official study guide

   • Learning paths and modules related to GH-300

2. GitHub Copilot Documentation – Provides overviews, tutorials, how-to guides, features, subscription plans, and data-handling information. Focus on the documentation for:

   • Responsible AI

   • Prompt Best Practices

   • Data Workflows

3. GitHub Blog – To stay up‑to‑date on the latest GitHub Copilot features and best practices, subscribe to their blog and specifically follow updates related to AI, prompts, and testing.

4. GitHub FAQs – The GitHub documentation includes comprehensive FAQ sections that answer common questions about GitHub Copilot, including best practices, privacy settings, and subscription plans.

5. GitHub Free Account – The GitHub portal offers free trials and access to a range of Copilot features. Utilize free credits to experiment with Copilot in real coding scenarios. 

6.  Tutorials Dojo’s GitHub Cheat Sheet – With the help of our cheat sheets, you can easily understand the information found in the GitHub documentation. These are presented in bullet point format to highlight the essential concepts.

7. Tutorials Dojo’s GitHub Copilot (GH-300) Practice Exams – Coming Soon!

Key Concepts to Focus On

Your primary source of information when studying for the GH‑300 exam is the Microsoft Learn documentation and GitHub Copilot feature documents. To comprehend the different scenarios in the exam, you should have a thorough understanding of the following service/feature sets:

• Responsible AI & Ethics – Understand the risks of generative AI, limitations, validation of outputs, fairness, transparency, and bias in the suggestions made by Copilot.

• Copilot Subscription Plans & Features: Understand the differences between the Individual, Business, and Enterprise plans. Focus on the features specific to each plan, such as code completion, chat, pull-request summaries, and knowledge bases.

• How Copilot Works & Handles Data – Learn the lifecycle of code suggestions, data pipelines, context windows, filters, and limitations within Copilot.

• Prompt Crafting & Prompt Engineering – Study best practices for writing effective prompts that will generate accurate code completions. Learn how to improve prompts for better accuracy using methods like zero‑shot and few‑shot techniques.

• Developer Use Cases for AI‑Assisted Coding – Learn how Copilot assists with tasks such as code completion, debugging, refactoring, and multi‑language support.

• Testing with Copilot – Learn how to use Copilot to generate unit tests, integration tests, and edge case detection. Understand how to configure your IDE/editor for optimal testing workflows.

• Privacy & Context Exclusions – Learn how to manage content exclusions, control data ownership, turn suggestion collection on/off, and set repository filters for privacy management.

Exam Prep Materials for the GitHub Copilot GH-300

To perform better on the GH-300 GitHub Copilot Certification exam, it is essential to engage with comprehensive, hands-on practice and study materials. Below are the key resources you should utilize for your preparation:

Free Hands-On Labs

• Free Git for Beginners with Hands-On Labs available in the Tutorials Dojo Portal

GitHub Copilot Fundamentals Part 1 of 2

• Start with GitHub Copilot Fundamentals Part 1 of 2 – Training, which introduces the core concepts of GitHub Copilot. This module covers how the tool works, key features, and how to integrate it into your development workflow, laying the groundwork for more advanced topics in Part 2.

Practice Assessment

• Taking a Practice Assessment is one of the best ways to gauge your readiness for the exam. This simulation mirrors the GH-300 exam and helps you assess your understanding across the exam’s domains. The practice assessment covers a wide range of topics, ensuring you’re well-prepared for the real exam.

To learn more about the GH-300 exam, you can visit the official GitHub Learn page for the GitHub Copilot (GH-300) certification. This page provides the most up-to-date information, including the link to schedule your GH-300 exam and access the official Exam Guide.

Final Remarks

Success in the GH‑300 exam requires both theoretical knowledge and practical experience with GitHub Copilot. Focus your study efforts on official Microsoft Learn materials, frequently reference GitHub documentation for Copilot features, and engage in hands‑on coding using Copilot across various scenarios (inline suggestions, chat, testing, refactoring). Regularly practice with mock exams and review detailed explanations. With this structured study path, you will be well‑equipped to succeed in the GH‑300 certification exam. Good luck with your preparation!