GitHub Copilot
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ExploreAbout this exam
The GitHub Copilot certification is a GitHub credential that validates your ability to work with an AI-driven code completion tool across programming languages, with the stated goal of optimizing software development workflows. The source describes the level as Intermediate and lists the audience as App Maker, Developer, DevOps Engineer, and Technology Manager - so it suits practitioners who already write code and want to prove they can drive Copilot deliberately rather than casually. Testing is delivered through Pearson VUE, either at a testing center or as an online proctored exam, and the published languages are English, Portuguese, Spanish, Korean, and Japanese. The exam runs 100 minutes and the certificate is valid for 24 months. There are no formal prerequisites, though GitHub recommends reviewing the relevant Microsoft Learn modules first. Content is organized into six published domains: responsible use of Copilot (15–20%), Copilot features including IDE, CLI, agent mode, and organization policy (25–30%), data handling and architecture (10–15%), prompt engineering and context crafting (10–15%), developer productivity covering generation, refactoring, testing, and security (10–15%), and privacy, content exclusions, and safeguards (10–15%). A study guide, a practice assessment, and a learning path are linked from the certification page.
What you'll study
About GitHub Copilot preparation
How long is the exam and how long is the certificate good for?
The exam duration is 100 minutes and the certificate validity is 24 months. Both figures are published on the GitHub Learn certification page. Plan to recertify or retake before the 24-month window closes if you need to keep the credential active.
Where and in what languages can I take the exam?
Testing options are a Pearson VUE testing center or an online exam. Published languages are English, Portuguese, Spanish, Korean, and Japanese. The source does not state which language combinations are available at every delivery channel, so confirm your preferred language when you schedule.
Which domain should I study first?
Start with Domain 2, Use GitHub Copilot Features, because it carries the largest published range at 25–30% and covers IDE usage, Copilot CLI, agent mode, Copilot Edits, MCP, code review, and organization policy. Then work through the four domains published at 10–15% before finishing with Domain 1.
Is there a prerequisite or required course?
No formal prerequisites are listed. GitHub does recommend reviewing the relevant Microsoft Learn modules to build foundational knowledge. The certification page also points to a GitHub learning path, a Pluralsight course, and a practice assessment, none of which are stated as mandatory.
How hard is the exam?
The source labels the level Intermediate and targets App Makers, Developers, DevOps Engineers, and Technology Managers. Difficulty is not otherwise published. The breadth is the real challenge: six domains spanning responsible AI, CLI and agent workflows, data flow, prompt design, testing, and privacy configuration.
What is the passing score and what does the exam cost?
The GitHub Learn certification page does not publish a passing score or an exam fee. Treat any figure you see elsewhere as unverified and check the scheduling page on Microsoft Learn, which is where the Schedule Now link directs you, for current pricing and scoring details.
How many questions are on the exam?
The published source does not state a question count. With 100 minutes available, pace yourself by the clock rather than by an assumed item count, and flag long scenario questions for a second pass instead of stalling on them.
What if I fail - how many retakes do I get?
No retake policy is published on the certification page. Retake rules and waiting periods are typically governed by the scheduling and testing provider, so review the Candidate's Handbook linked from the certification page and your scheduling confirmation before booking a second attempt.
What are the most common ways candidates lose points?
Two areas are easy to underprepare: Domain 3, where candidates cannot explain prompt building, proxy filtering, and post-processing, and Domain 6, where they cannot describe content exclusions, public-code suggestion filtering, and troubleshooting. Both are published at 10–15% and reward precise, mechanism-level understanding over general familiarity.
What free preparation material is linked from the certification page?
The page links a practice assessment for self-checking, a comprehensive study guide, a GitHub learning path, a Microsoft Learn course (GH-300T00), a Pluralsight course, the Candidate's Handbook, and a support contact. Using the practice assessment early tells you which domains need the most work.