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What you get
- 400 exam-style questions, each with a full explanation
- 20 performance-based tasks, marked with partial credit
- 200 flashcards, filtered by domain
- The full study guide, 27 chapters
- Timed mock exams matched to the real exam length
- A readiness score weighted by the official exam blueprint
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GitHub Copilot (GH-300) validates hands-on skill with GitHub Copilot: prompt engineering, IDE and CLI workflows, code review, responsible AI use, and privacy configuration. It's an intermediate GitHub credential for developers, DevOps engineers, and technology managers who use Copilot in daily work.
Practice content last updated · Independently written and aligned to GitHub’s published exam objectives.
About the GitHub Copilot (GH-300) Exam
GitHub Copilot (GH-300) is GitHub's intermediate certification for developers who use Copilot as part of their daily workflow. It's administered directly by GitHub through Pearson VUE, not through a general Microsoft Azure track, and it tests six areas: using Copilot responsibly, the IDE and CLI feature set, how Copilot handles your data, prompt engineering, developer productivity use cases, and privacy and content exclusion settings. The exam leans heavily on two domains. Copilot features carries 25 to 30 percent of the score and covers the IDE, Copilot CLI, Agent Mode, Copilot Edits, MCP, code review, Spaces, Spark, and organization-wide policy management, which is a wide surface for one domain. Responsible AI use carries another 15 to 20 percent and asks you to reason about the limitations of LLMs, not just recite a list of Copilot menu items. Candidates who fail this exam are usually strong Copilot users who never studied the architecture: how a prompt gets built from your open files and repository context, what happens during proxy filtering and post-processing, and where the public-code matching filter fits in. Day-to-day Copilot use doesn't teach you that pipeline, but the exam asks about it directly. The exam includes interactive question formats alongside standard multiple choice, so practicing with mixed formats matters as much as reviewing the content. Full practice questions and flashcards let you check whether you understand Copilot's internals and its guardrails, or you've only memorized where the settings live in VS Code.
Exam Domains Covered
- Use GitHub Copilot responsibly18%
- Use GitHub Copilot features30%
- Understand GitHub Copilot data and architecture13%
- Apply prompt engineering and context crafting13%
- Improve developer productivity with GitHub Copilot13%
- Configure privacy, content exclusions, and safeguards13%
Exam Format & Details
60 scored multiple-choice and interactive questions plus roughly 10-15 unscored pretest items, 100 minutes, closed-book, proctored by Pearson VUE (test center or online exam). Pass mark is 700/1000 (70%). $99 USD, regional pricing may apply. Certificate valid 24 months. Scheduled at examregistration.github.com.
Why Practice Questions Matter
GitHub Copilot's own interface won't teach you the six domains this exam tests. You use Copilot Chat and inline suggestions constantly without ever touching organization-wide policy settings, audit log events, or the proxy filtering step between your prompt and the model. Practice questions built around GH-300's actual blueprint force you through that material domain by domain, including the responsible-AI and data-architecture sections that don't come up in ordinary coding, so you walk in having answered questions on every objective at least once rather than finding out what "prompt process flow" means for the first time during the real exam.
Try 2 performance tasks free
Drag-and-drop, sequencing and configuration tasks that mirror the interactive questions on the real GitHub Copilot (GH-300) exam, marked with partial credit.
Sample Practice Questions
The following questions are a preview of the type of syllabus-aligned questions you will practise in CertCrush. They reflect the format and reasoning style of the GitHub Copilot (GH-300) exam, not actual exam content.
Q1.Which three practical limits shape every Copilot Chat session?
- A.Session length
- B.Context size
- C.Rate limits
- D.File size
- E.Screen resolution
Domain: Use GitHub Copilot features
Q2.Why does tone matter in an automated review comment, according to the reasoning given?
- A.Tone has no measurable effect on whether a comment ever gets acted on
- B.A comment that reads like a colleague pointing something out gets fixed, while one that reads like a scold gets argued with or ignored
- C.A harsher tone increases the likelihood a comment gets fixed quickly
- D.Tone only matters for comments left by human reviewers, never automated ones
Domain: Use GitHub Copilot features
Q3.What can partially, though not completely, close the gap caused by a model's lack of exposure to private or proprietary code?
- A.Good context, such as having the actually relevant files open
- B.Waiting for the next training data cutoff to pass
- C.Disabling post-processing for that session
- D.Increasing how strictly proxy filtering screens each request
Domain: Understand GitHub Copilot data and architecture
Q4.Which of the following is offered as an illustrative example of what an MCP connection could let Copilot do, without being presented as a fixed or guaranteed list?
- A.Permanently revoke a teammate's GitHub account access
- B.Rewrite an organization's entire billing history
- C.Automatically merge every open pull request across an entire organization
- D.Look up a ticket in a project tracker, check a schema in a database, or pull details from an internal documentation system
Domain: Use GitHub Copilot features
Q5.What is the current state of the legal treatment of copyright for AI-assisted code, as it applies to day-to-day development?
- A.It is still evolving and varies by jurisdiction, so the practical takeaway is that accepted, committed code follows the project's existing rules
- B.It has been fully settled by international agreement and applies uniformly worldwide
- C.AI-assisted code is automatically ineligible for copyright protection in every jurisdiction
- D.Only code written without any AI assistance can be copyrighted anywhere
Domain: Configure privacy, content exclusions, and safeguards
Q6.Comparing a suggestion to a weather forecast, "a probability, not a promise," makes which point?
- A.Knowing a suggestion has structural limits is a reason to check it with appropriate scrutiny, not a reason to distrust Copilot altogether
- B.Suggestions should never be trusted under any circumstances
- C.Suggestions are reliable only during certain hours of the day
- D.Code related to weather data is inherently less reliable than other domains
Domain: Understand GitHub Copilot data and architecture
Q7.According to the side-by-side comparison of a standard chat conversation, Spaces, and Spark, what should specifically prompt reaching for Spaces?
- A.Wanting something visual to look at and iterate on
- B.Having one immediate, narrow question to settle right away
- C.Multiple people needing consistent answers grounded in the same deliberately gathered material
- D.Wanting to rough out a brand-new app idea completely from scratch
Domain: Use GitHub Copilot features
Q8.What is a practical signal that a content exclusion rule deserves a second look?
- A.Nobody on the team can explain why that specific pattern is still on the list
- B.The rule was written more than a week ago
- C.The rule matches a single file instead of a folder pattern
- D.The rule was originally written by a repository admin rather than an organization admin
Domain: Configure privacy, content exclusions, and safeguards
Q9.At what point are an organization's content exclusions enforced?
- A.At the earliest gathering stage; an excluded file is never picked up during input processing at all
- B.During post-processing, after a response has already been generated
- C.Only when a developer manually flags a file before typing
- D.During proxy filtering, after a prompt has already been assembled
Domain: Understand GitHub Copilot data and architecture
Q10.A simultaneous translator occasionally mishears a word and smoothly fills the gap with something that fits the sentence's flow rather than stopping to ask for clarification, and listeners never notice. How does this scenario relate to over-reliance?
- A.It shows that human translators are less reliable than generative AI tools
- B.A developer who has stopped double-checking Copilot's output is standing where the listener stands: trusting fluency as a stand-in for accuracy, with no way to catch a quiet substitution
- C.It shows that Copilot should always be paired with a human translator on every task
- D.It demonstrates that mistakes are always caught eventually, regardless of review habits
Domain: Use GitHub Copilot responsibly
GitHub Copilot (GH-300) guides & exam news
Frequently Asked Questions
Does the GitHub Copilot (GH-300) course include performance-based questions?
Yes. The GitHub Copilot (GH-300) course includes 20 performance-based questions (PBQs): hands-on tasks that mirror the interactive questions on the real exam, including drag-and-drop matching, sequencing and configuration screens. Each one is marked with partial credit, so you can see exactly which placements were wrong, and every task includes a full explanation. The first two are free to try.
What is included in the free GitHub Copilot (GH-300) sample?
The free sample includes 10 syllabus-aligned practice questions, sample flashcards, and a preview chapter from the study guide. No account or payment is required to try the sample.
How many questions are in the full GitHub Copilot (GH-300) course?
The full GitHub Copilot (GH-300) course includes 400 practice questions and 20 performance-based tasks, covering all 6 exam domains. Every question carries a full explanation for the right answer and the wrong ones.
Are these official GitHub exam questions?
No. CertCrush questions are independently written and syllabus-aligned. They mirror the format, difficulty, and reasoning style of the official exam. We are not affiliated with or endorsed by GitHub.
Which domains does the GitHub Copilot (GH-300) course cover?
The course covers 6 exam domains: Use GitHub Copilot responsibly, Use GitHub Copilot features, Understand GitHub Copilot data and architecture, Apply prompt engineering and context crafting, Improve developer productivity with GitHub Copilot, Configure privacy, content exclusions, and safeguards.
Can I study on mobile?
Yes. CertCrush is fully responsive and works on phones, tablets, and desktops. The timed exam, flashcards, and study guide all work on mobile without installing an app.
What happens when I create an account?
Creating a free account lets you access full courses, track your weak areas by domain, and resume practice sessions across devices. No credit card is required to register.
Start with 10 free questions
No account, no card. The full GitHub Copilot (GH-300) course is $9.99, once.