100+ Free GitHub Copilot Practice Questions

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Question 1

Score: 0/0

Which GitHub Copilot plan is free for verified students, teachers, and maintainers of popular open-source projects?

GitHub Copilot Free

GitHub Copilot Pro

GitHub Copilot Business

GitHub Copilot Enterprise

to track

2026 Statistics

Key Facts: GitHub Copilot Exam

Exam Questions

GitHub

70%

Passing Score

GitHub

100 min

Exam Duration

GitHub

$99

Exam Fee

GitHub USD

2 years

Validity

Must retake

PSI

Proctoring

GitHub provider

GH-300 has 65 questions in 100 minutes with a 70% passing score. Domains include Responsible AI, Plans and Features, Privacy and Data Handling, Prompt Crafting, Code Development and Testing, and Developer Use Cases. Costs $99 USD, delivered through GitHub's certification provider (PSI). GitHub certifications are valid 2 years and must be retaken to maintain.

Sample GitHub Copilot Practice Questions

Try these sample questions to test your GitHub Copilot exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1Which GitHub Copilot plan is free for verified students, teachers, and maintainers of popular open-source projects?

A.GitHub Copilot Free

B.GitHub Copilot Pro

C.GitHub Copilot Business

D.GitHub Copilot Enterprise

Explanation: GitHub Copilot Pro is free for verified students, teachers, and maintainers of popular open-source projects. Other users pay a monthly subscription. Copilot Free is a no-cost plan for everyone with limited completions/chat per month. Business and Enterprise are organization-tier plans. Exam tip: Eligibility for Pro is verified through GitHub Education or maintainer status; verification is automated where possible.

2Which GitHub Copilot feature allows developers to interact via natural-language chat in their IDE?

A.Copilot Code Completion

B.Copilot Chat

C.Copilot Workspace

D.Copilot CLI

Explanation: Copilot Chat is the natural-language conversational interface for Copilot, available in VS Code, JetBrains IDEs, Visual Studio, GitHub.com, and mobile. Developers can ask questions, request code changes, and get explanations. Code Completion offers inline suggestions. Copilot CLI is for the terminal. Workspace is the task-oriented planning experience. Exam tip: Copilot Chat understands the file/project context and can reference workspace files in the conversation.

3What is the purpose of GitHub Copilot's content exclusions feature?

A.Block users from accessing GitHub

B.Prevent specific files or paths from being used as context for Copilot suggestions

C.Encrypt source code

D.Disable Git operations

Explanation: Content exclusions let organization owners specify files or repository paths whose content is excluded from Copilot completion suggestions and from being used as context. Useful for sensitive files (e.g., secrets configs, regulated code). Configured at the org or repo level in GitHub Settings > Copilot > Content exclusion. Exam tip: Exclusions apply to suggestions and context — they do not block users from editing the files normally.

4Which IDE does NOT have official GitHub Copilot extension support?

A.VS Code

B.JetBrains IDEs (IntelliJ, PyCharm, etc.)

C.Visual Studio

D.Microsoft Word

Explanation: GitHub Copilot is supported in VS Code, JetBrains IDEs (IntelliJ, PyCharm, WebStorm, GoLand, etc.), Visual Studio, Neovim, Xcode, Eclipse, Azure Data Studio, and others. Microsoft Word is a productivity app, not a code editor — Copilot for Microsoft 365 is a separate product for Office apps. Exam tip: Copilot extension availability is broad across major code editors; install from the editor's marketplace.

5What does the duplication detection filter in Copilot do?

A.Detects duplicate user accounts

B.Suppresses suggestions that match public code matches above a threshold to reduce risk of including identical code

C.Removes duplicate files from the repo

D.Blocks duplicate Git branches

Explanation: Copilot's duplication detection filter (a.k.a. matching public code filter) blocks suggestions that closely match public code on GitHub, reducing the risk of inadvertently including code with restrictive licenses. Configurable per organization at the org Copilot policy level. Exam tip: When enabled, Copilot returns fewer suggestions in some cases — a trade-off for reduced licensing risk.

6Which prompt engineering technique provides the model with example input/output pairs to influence response format or content?

A.Zero-shot

B.Few-shot

C.Chain-of-thought without examples

D.Random prompting

Explanation: Few-shot prompting includes a small number of input/output examples in the prompt to demonstrate the desired pattern. Useful for templated outputs (e.g., commit messages in a specific format, code in a specific style). Zero-shot relies only on instructions. Exam tip: For consistent code styling or output structure, few-shot examples produce more predictable results than zero-shot.

7Which Copilot feature lets developers describe a task and have Copilot plan/execute multi-file edits across the repository?

A.Inline suggestions

B.Copilot Workspace / Agent mode

C.Copilot CLI

D.Webhooks

Explanation: Copilot Workspace (and Agent mode in VS Code) lets developers describe a task in natural language, then Copilot plans and applies changes across multiple files in a workspace, with iteration on the plan. Inline suggestions only complete code at the cursor. Exam tip: Agent mode is best for complex multi-file refactors, feature additions, or bug fixes spanning several files.

8Which command-line tool integrates Copilot natural language to generate shell commands?

A.git copilot

B.GitHub CLI (gh) with Copilot extension (gh copilot)

C.npm copilot

D.ai cli

Explanation: Copilot in the CLI is provided via the GitHub CLI extension `gh copilot`, which suggests/explains shell commands. Examples: `gh copilot suggest 'find files larger than 100MB'` or `gh copilot explain 'tar -czvf archive.tar.gz folder'`. Exam tip: Install with `gh extension install github/gh-copilot`; available cross-platform.

9How is GitHub Copilot data handled for prompts and suggestions in Copilot Business and Enterprise plans?

A.Used to train the foundation models

B.Not retained beyond the request and not used to train models

C.Stored indefinitely and shared publicly

D.Sent to other customers

Explanation: For Copilot Business and Enterprise plans, prompts and suggestions are not used to train the foundation models, and are not retained beyond the request lifecycle (other than necessary logging for service operation and abuse prevention). For Free/Pro, similar protections exist with some opt-in telemetry. Exam tip: Business/Enterprise plans include the strongest data handling commitments — important for regulated industries.

10Which Copilot policy is configured at the organization or enterprise level to control feature availability?

A.Copilot policies (e.g., enable/disable suggestions matching public code, require SAML SSO authorization)

B.Branch protection rules

C.Issue templates

D.Workflow permissions

Explanation: Org/enterprise admins configure Copilot policies — including duplication detection (suggestions matching public code), Copilot in pull requests, Copilot Chat, content exclusions, and SAML SSO requirements. Configured under Organization Settings > Copilot > Policies. Exam tip: Default to most-restrictive policies, then loosen based on developer needs and compliance posture.

About the GitHub Copilot Exam

The GitHub Copilot Certification (GH-300) validates effective and responsible use of GitHub Copilot — covering subscription plans, Copilot Chat and CLI, IDE integrations, custom instructions, content exclusions, organizational policies, audit logs, prompt engineering, code suggestions, multi-file editing, agent mode, Copilot Extensions, and responsible AI principles. Designed for developers, tech leads, and IT admins.

Questions

65 scored questions

Time Limit

100 minutes

Passing Score

70%

Exam Fee

$99 USD (GitHub / PSI)

GitHub Copilot Exam Content Outline

15-20%

Responsible AI

Human oversight, transparency, fairness, inclusiveness, suggestion review, security review, license risk handling, regulated industries, overreliance avoidance, code review standards

15-20%

Plans and Features

Copilot Free, Pro, Pro+, Business, Enterprise; Knowledge Bases (Enterprise); Copilot Extensions; org policies; SAML SSO; audit logs; metrics dashboard; model selection; rollout strategy

15-20%

Privacy and Data Handling

Content exclusions (org/repo); duplication detection (matching public code filter); telemetry; data handling for Free/Pro vs. Business/Enterprise; audit logs; SAML SSO authorization; secrets handling; network/proxy requirements

20-25%

Prompt Crafting

Context (file/comment/signature/types), zero-shot vs. few-shot, persona prompts, custom instructions (.github/copilot-instructions.md), iteration, framework context, large task decomposition, knowledge cutoff considerations, hallucination mitigation

20-25%

Code Development and Testing

Inline completions, Chat (/explain, /tests, /fix, /doc, /refactor), CLI (gh copilot), Workspace/Agent mode, multi-file edits, test generation, bug fixing, commit messages, refactoring, code review with AI

15-20%

Developer Use Cases

IDE support (VS Code, JetBrains, Visual Studio, Neovim, Xcode), Copilot in PRs (summaries, review), data transformation, IaC, async patterns, library learning, code migration, OSS maintainer use, mobile (GitHub Mobile)

How to Pass the GitHub Copilot Exam

What You Need to Know

Passing score: 70%
Exam length: 65 questions
Time limit: 100 minutes
Exam fee: $99 USD

Keys to Passing

Complete 500+ practice questions
Score 80%+ consistently before scheduling
Focus on highest-weighted sections
Use our AI tutor for tough concepts

GitHub Copilot Study Tips from Top Performers

1Use Copilot daily across multiple IDEs (VS Code, JetBrains) for hands-on familiarity — exam questions test practical knowledge

2Master all Chat commands: /explain, /tests, /fix, /doc, /refactor — and the @ participants (@workspace, @github)

3Memorize the four subscription tiers (Free, Pro, Business, Enterprise) and what's unique about each — especially Knowledge Bases for Enterprise

4Understand data handling: prompts NOT used for training in Business/Enterprise, content exclusions for sensitive files, audit logs for governance

5Study responsible AI principles — human oversight, transparency, fairness, license risk, security review of AI-generated code

6Practice prompt crafting — clear comments, function signatures, type hints, custom instructions in .github/copilot-instructions.md

7GitHub certifications are valid 2 years — plan retake budget if maintaining the credential long-term

Frequently Asked Questions

What is the GitHub Copilot certification?

The GitHub Copilot Certification (GH-300) validates ability to use GitHub Copilot responsibly, efficiently, and securely — covering Copilot subscription plans, Chat and CLI, IDE integrations, prompt engineering, custom instructions, content exclusions, organizational policies, and responsible AI principles. It's targeted at developers, tech leads, and IT admins.

How many questions are on the GH-300 exam?

GH-300 has 65 questions delivered in 100 minutes (about 90 seconds per question). Question types include multiple choice and multiple select. The passing score is 70%. The exam is administered by PSI via online proctoring (or test centers where available).

What does GH-300 cost?

The GitHub Copilot certification exam fee is $99 USD. GitHub certifications are valid for 2 years and must be retaken to renew (no free annual renewal like Microsoft role-based certs). Some retake policies and waiting periods apply for failed attempts.

What are the GH-300 exam domains?

GH-300 covers seven knowledge areas: 1) Responsible AI (ethics, bias, validation), 2) Plans and Features (Free/Pro/Business/Enterprise, Knowledge Bases, Extensions), 3) Privacy and Data Handling (content exclusions, duplication filter, telemetry), 4) Prompt Crafting (context, few-shot, custom instructions), 5) Code Development and Testing (Chat commands, IDE integrations, tests), 6) Developer Use Cases, 7) Practical application across plans and policies.

How should I prepare for the GH-300 exam?

Recommended preparation: 1) Use Copilot daily across IDEs (VS Code, JetBrains) for hands-on familiarity, 2) Practice all Chat commands (/explain, /tests, /fix, /doc, /refactor), 3) Read the official GitHub Copilot Trust Center for data handling details, 4) Configure custom instructions and content exclusions in a test repo, 5) Study responsible AI principles, 6) Complete 100+ practice questions covering all domains.

Is the GitHub Copilot certification worth it?

Yes — Copilot has rapidly become a standard developer tool. Validated skills in responsible, efficient Copilot use are valuable for developers, tech leads, and IT admins deploying Copilot at scale. The certification demonstrates both productivity skills (prompt engineering, Chat usage) and governance awareness (policies, content exclusions, responsible AI).