GitHub Copilot (GH-300) Practice Tests

Use this GH-300 practice exam to prepare for GitHub Copilot (GH-300) with realistic questions, detailed explanations, and focused study modes. The practice bank includes 352 questions for Microsoft GH-300, so you can review the exam steadily instead of relying on one long cram session.

As you practice, pay extra attention to recurring topics such as Responsible AI, GitHub Copilot Plans and Features, How GitHub Copilot Works and Handles Data, Prompt Crafting and Engineering, and Developer Use Cases for AI. Start with short sessions to identify weak areas, then move into timed quizzes once your accuracy is consistent.

The explanations are especially useful when you want to connect exam wording to the responsibilities and scenarios described in the official certification guidance. Use the free preview first, then unlock the full question bank when you are ready to build a complete study routine.

The GitHub Copilot certification (GH-300) is an intermediate-level credential issued by GitHub/Microsoft that validates a candidate's ability to use GitHub Copilot effectively across the full software development lifecycle. The exam covers AI-assisted code generation, refactoring, documentation, and testing using GitHub Copilot's suite of tools — including inline suggestions, Copilot Chat, Copilot CLI, Agent Mode, Edit Mode, and Model Context Protocol (MCP) integrations. It also assesses understanding of how Copilot processes and transmits data, including prompt building, proxy filtering, and post-processing of suggestions.

The certification was significantly updated in January 2026 to reflect the rapid evolution of GitHub Copilot's feature set, including new objectives around Agent Sessions, Sub-Agents, Spaces, Spark, and customizable review standards via instruction files. It is valid for two years from the date earned, after which holders can renew by passing a free online assessment on Microsoft Learn. The exam is delivered in English, Spanish, Portuguese (Brazil), Korean, and Japanese through Pearson VUE, with proctored online or in-person delivery options.

The GH-300 is designed for software developers, DevOps engineers, app makers, and technology managers who use or oversee GitHub Copilot in professional development environments. Candidates are expected to have hands-on experience with at least one programming language and a working familiarity with GitHub fundamentals such as repositories, pull requests, and GitHub Actions.

The certification is particularly relevant for developers looking to formalize their AI-assisted development skills, team leads responsible for rolling out Copilot across engineering organizations, and enterprise administrators who configure organization-wide Copilot policies, content exclusions, and audit logging. It is not an entry-level exam — candidates should already be comfortable using an IDE and have some exposure to GitHub Copilot before attempting the certification.

There are no formal prerequisites required to register for the GH-300 exam. However, Microsoft recommends that candidates have familiarity with GitHub fundamentals and practical experience with one or more programming languages before attempting the exam.

Recommended preparation includes completing the official Microsoft Learn learning paths — 'GitHub Copilot Fundamentals Part 1' and 'GitHub Copilot Fundamentals Part 2' — and the instructor-led course GH-300T00-A (a one-day intermediate course). Candidates should also review the official GitHub documentation on Copilot plans, data handling, prompt engineering, and privacy/content exclusion configuration. Prior exposure to responsible AI concepts, such as identifying risks and mitigation strategies for generative AI tools, is strongly recommended given the 15–20% exam weight on that domain.

The GH-300 exam is 100 minutes in duration and delivered through Pearson VUE as a proctored assessment. The exam may include interactive components in addition to traditional question types. The exact number of questions is not publicly disclosed by Microsoft, though the format is consistent with other GitHub certifications. A score of 700 or greater (on a scale that Microsoft does not publicly define as a fixed number of questions) is required to pass.

The exam is available online (remotely proctored) or at in-person Pearson VUE test centers. If a candidate fails, they must wait 24 hours before retaking; subsequent retake waiting periods vary per Microsoft's retake policy. An exam sandbox is available at GHCertDemo.starttest.com so candidates can preview the interface and question types before test day. Accommodations for extra time or assistive devices can be requested through Microsoft's credentials support portal.

The GH-300 certification signals to employers that a developer can responsibly and effectively leverage GitHub Copilot — a tool now used by over 15 million developers and deployed across 90% of Fortune 100 companies. Certified professionals are positioned for roles such as software engineer, DevOps engineer, AI-augmented developer, and technology manager in organizations actively scaling AI-assisted development practices. According to GitHub's own certification impact data, 79% of certified employees produce higher quality work, 70% demonstrate improved productivity, and 32% report salary increases following certification.

Unlike cloud platform certifications (AWS, Azure) which focus on infrastructure, GH-300 is one of the few vendor-backed credentials specifically validating AI coding assistant proficiency — making it complementary rather than competitive with existing developer certifications. As AI pair programming becomes standard practice in enterprise engineering teams, this certification differentiates candidates in hiring, promotion, and consulting contexts, particularly for roles that involve onboarding teams onto Copilot, configuring enterprise Copilot policies, or advocating for responsible AI practices within engineering organizations.