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Free GitHub Copilot (GH-300) Practice Questions
The GitHub Copilot (GH-300) exam is up to 60 questions in 100 minutes, and the voucher costs $99. CertCrush provides 400 syllabus-aligned practice questions and 20 performance-based questions across all 6 exam domains, each with a full explanation. Free to try, no account required.
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.
10
Sample questions
100 min
Exam time limit
70%
Practice pass mark
$99
Exam voucher
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
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.
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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.What benefit comes from stating constraints, such as language version, framework, and formatting preferences, at the very start of a request?
- A.It often saves an entire extra round of back-and-forth
- B.It guarantees an answer will be returned within one second
- C.It removes any future need to refine or iterate on the answer
- D.It skips the step where surrounding context gets gathered
Domain: Apply prompt engineering and context crafting
Q2.What is the key point behind describing prompting as a loop rather than a single event?
- A.A prompt is not a one-shot event; running the same flow more than once is entirely normal, not a sign something went wrong
- B.Every request must succeed on the very first attempt or the session ends
- C.Loops are only possible when using few-shot prompting
- D.Running a request more than once always produces an identical answer each time
Domain: Apply prompt engineering and context crafting
Q3.What happens to an inline suggestion if a developer keeps typing their own code instead of accepting it?
- A.It automatically opens as a new Chat message
- B.It gets saved to a suggestion history for later review
- C.It disappears without a trace, with no cleanup required
- D.It is quietly submitted as a comment on the line
Domain: Use GitHub Copilot features
Q4.When more than one reasonable completion exists for the same spot in code, what can a developer typically do in most editors?
- A.Submit a support request asking for a second option
- B.Nothing, only the first suggestion offered is ever available
- C.Cycle through alternative suggestions instead of settling for the first one shown
- D.Restart the editor to force a different suggestion to appear
Domain: Use GitHub Copilot features
Q5.What tends to result from giving Copilot a vague file name and an otherwise empty file to work in?
- A.A prompt requiring the file to be renamed before continuing
- B.An error message that blocks any suggestions from appearing
- C.Suggestions that are identical no matter what file is open
- D.Vague suggestions, since Copilot can only work with what it can actually see
Domain: Use GitHub Copilot features
Q6.What best describes GitHub Copilot Chat, in contrast to inline suggestions?
- A.A tool used exclusively for generating commit messages
- B.A conversational panel for back-and-forth questions and replies, rather than a one-way guess
- C.A replacement for a project's version control history
- D.A static reference document bundled with the editor
Domain: Use GitHub Copilot features
Q7.Which three factors are identified as the ones actually controlled when shaping a request, mattering more than wording, tone, or politeness?
- A.Context, examples, and iteration
- B.Font choice, file naming, and folder structure
- C.Typing speed, request length, and time of day
- D.Programming language, operating system, and editor theme
Domain: Apply prompt engineering and context crafting
Q8.Which of the following are offered as good starting points for a first conversation with Copilot Chat?
- A.Asking it to permanently delete an unused branch
- B.Asking it to explain something, such as what a function does in plain English
- C.Asking it to approve a pull request without any review
- D.Asking it to compare two options or approaches
- E.Asking it to find a problem, such as why a test might be failing
- F.Asking it to write something new, such as a function from a plain description
Domain: Use GitHub Copilot features
Q9.Which comparison is used to describe how a content exclusion works?
- A.A librarian refusing to check out one specific title
- B.A sticky note reading "don't look in here" on one specific filing cabinet in an otherwise open-plan office
- C.A moat surrounding an entire building
- D.A firewall blocking all outbound network traffic
Domain: Use GitHub Copilot features
Q10.What is prompt engineering?
- A.The practice of deliberately shaping a request, its wording, structure, context, and examples, to get a more useful answer
- B.A formal certification required before using an AI coding tool professionally
- C.A specialized dialect of English required for effective requests
- D.A setting that must be toggled on inside an editor's configuration panel
Domain: Apply prompt engineering and context crafting
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 course includes a comprehensive question bank covering all exam domains. You can see the total question count on the GitHub Copilot (GH-300) course page.
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.