GH-300
Free GitHub Copilot Practice Test
12 exam-style questions with full explanations — no sign-up. Score yourself, then close your gaps with the full course.
Exam fee ~$997 exam domainsLevel Intermediate2 timed practice tests in the course
✅ Free practice — no sign-up📝 Real exam-style questions💡 Detailed explanations💸 30-day money-back via Udemy
A regulated financial services company stores its internal engineering standards, architecture decision records, and onboarding guides across a dozen private repositories. They want engineers to ask Copilot Chat natural-language questions like 'What is our approved logging library?' and get answers sourced directly from these internal documents. Which plan and feature combination BEST meets this requirement?
Custom knowledge bases that let Copilot Chat ground its answers in specific internal repositories and documents are a Copilot Enterprise-only capability, exactly matching the described requirement.
A financial services company using GitHub Copilot Business wants to minimize legal risk from suggestions that closely match existing public code on GitHub. Which action should the organization take?
Copilot Business/Enterprise admins can enable a policy that filters out suggestions detected as matching public code, directly addressing the IP/legal risk without disabling the tool entirely.
A financial-services company on GitHub Copilot Business wants to prevent Copilot from ever generating suggestions using code stored in a proprietary internal /crypto-keys/ directory, across every repository in the org. Which approach correctly achieves this?
Copilot Business and Enterprise support content exclusions configured at the organization level (or repository level via a config file), using path glob patterns that apply automatically to every developer and repository matched, without relying on manual per-user action.
A developer inherits a large, undocumented Python module and needs to quickly understand what a complex function does before modifying it. Which approach BEST uses GitHub Copilot for this task?
/explain in Copilot Chat is purpose-built to summarize and clarify existing code, including unfamiliar legacy logic, directly in context.
A developer using Copilot Chat in VS Code wants an answer that considers code across multiple files in the current repository, not just the file that is open in the editor. Which approach BEST achieves this?
The @workspace chat participant indexes and searches the current workspace/repository so Copilot Chat can pull in relevant context from multiple files when answering, rather than being limited to the active editor tab.
A developer needs GitHub Copilot to generate unit tests for a function that must handle null inputs, empty arrays, and boundary values correctly. Which approach BEST leverages Copilot to produce useful, relevant tests?
Copilot's suggestions are heavily influenced by the surrounding context and prompt. Explicitly describing edge cases in a comment or chat prompt gives Copilot the information it needs to generate targeted tests for null, empty, and boundary conditions, and the developer still reviews the output for gaps — the recommended workflow the exam expects.
A financial services company enables GitHub Copilot Business for its engineering team. Legal wants to reduce the risk of merging code that matches public repositories under restrictive licenses without attribution. Which Copilot feature should the admin enable to address this requirement?
GitHub Copilot Business/Enterprise includes a duplicate detection (code referencing) filter that checks suggestions against public code on GitHub and can block or surface matches longer than ~150 characters, along with the matching repository and license, letting teams manage attribution/licensing risk directly.
A developer wants to type a natural-language request in their terminal, such as 'undo the last two git commits but keep the changes staged,' and receive a suggested shell command with an explanation, without leaving the command line.
GitHub Copilot in the CLI (installed as a GitHub CLI extension) provides 'gh copilot suggest' and 'gh copilot explain' to turn natural-language requests into shell/git commands with explanations, directly in the terminal.
Which GitHub Copilot capability inspects other files you currently have open in your editor to build additional context for the current suggestion?
Neighboring tabs is the mechanism by which Copilot scans other open files in the editor to gather relevant context and improve suggestion relevance for the file being edited.
Which GitHub Copilot capability specifically blocks a code suggestion from being shown when it matches a contiguous block of 150 characters or more from publicly available code, reducing IP risk?
The duplication detection filter (public code matching filter) compares generated suggestions against public code on GitHub and suppresses or flags matches above a defined length threshold, specifically to reduce the risk of surfacing copyrighted public code verbatim.
A team wants to convert a set of utility functions from JavaScript to Python while preserving behavior. Which Copilot workflow is MOST appropriate?
Copilot Chat supports code translation between languages when given the source code as context, and generated output should always be reviewed and tested.
A developer has a function selected in the editor and wants Copilot Chat to generate unit tests specifically for that function with minimal manual prompt writing. What should they do?
The /tests slash command is purpose-built to generate unit tests for the selected code, using the selection as direct context so Copilot produces relevant, targeted test cases.
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How much does the GH-300 exam cost?
The exam fee is approximately $99 and varies by region — confirm current pricing with the certification vendor before you book.
What topics are on the exam?
It covers 7 domains: GitHub Copilot Plans and Features (31%), How GitHub Copilot Works and Handles Data (15%), Privacy Fundamentals and Context Exclusions (15%), Developer Use Cases for AI (14%), Prompt Crafting and Prompt Engineering (9%), Testing with GitHub Copilot (9%), Responsible AI and Ethical Use of Copilot (7%). The full course has a dedicated chapter, lab and practice-test coverage for each.
Is this practice test really free?
Yes — all questions on this page are free with explanations and no sign-up. The paid Udemy course adds two full-length timed exams, video lessons and hands-on labs.
Will this prepare me for the real exam?
The questions mirror the real exam's style and are mapped to the official domains. This is exam-focused preparation — combine the free test with the full course's timed simulations to gauge your readiness.