Updated for 2026 Exam Objectives

GH-300 Practice Test

GitHub Copilot

GH-300 tests whether you actually understand how to operate GitHub Copilot responsibly and effectively — prompt crafting, data handling, organization-wide policy, and real productivity workflows — not just which button enables which feature.

Our 500 scenario-based questions cover the full GH-300 blueprint across six domains: using GitHub Copilot responsibly (responsible AI principles, validating AI output, risks and limitations of generative AI), using GitHub Copilot features (IDE suggestions and chat, the Copilot CLI, Agent Mode, Copilot Edits, MCP, code review, Spaces, Spark, and organization-wide policy management), understanding GitHub Copilot data and architecture (data flow, input processing, prompt building, proxy filtering, the code suggestion lifecycle, and LLM limitations), applying prompt engineering and context crafting (prompt structure, zero-shot and few-shot prompting, context determination, chat history usage), improving developer productivity (code generation, refactoring, documentation, test generation, edge-case identification, security and performance suggestions), and configuring privacy, content exclusions, and safeguards (public code filtering, content exclusions, output ownership, troubleshooting suggestions). Every question is grounded against live GitHub Docs and Microsoft Learn training content.

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500 Exam-Style Questions
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Is this for you?

Your GH-300 exam is in the next 2-4 weeks
You've studied the concepts but aren't sure you'll pass
You want questions harder than the real exam
You want to understand why answers are correct, not just memorize

This is NOT for you if:

You're looking for braindumps or exam leaks
You haven't started studying the concepts yet
Most successful candidates start practice 2-3 weeks before their exam
Updated for the latest exam blueprint

GH-300 Exam Details

What to expect on exam day

Questions

40

Duration

100 minutes

Passing Score

700

Exam Cost

$99

Exam Domains Covered

Master all topics tested on the GH-300 exam

1

Use GitHub Copilot responsibly

2

Use GitHub Copilot features

3

Understand GitHub Copilot data and architecture

4

Apply prompt engineering and context crafting

5

Improve developer productivity with GitHub Copilot

6

Configure privacy, content exclusions, and safeguards

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5 Free GH-300 Questions

See how ready you are for the GH-300 exam. Each question includes a detailed explanation so you learn as you go.

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Why Practice with MSCertQuiz?

Microsoft Learn teaches concepts. We prepare you for the actual exam.

1

Full coverage of Copilot's newest capabilities — Agent Mode, Copilot Edits, MCP, Sub-Agents, and the Copilot CLI — alongside the responsible-AI and data-handling fundamentals every exam question is ultimately built on

2

Real prompt-engineering scenarios: zero-shot vs. few-shot prompting, context determination, and chat history usage, not just definitions of the terms

3

Organization-governance content most free question banks skip entirely: org-wide policy management, content exclusions, public code filtering, and audit log events

4

Every question verified against live GitHub Docs and Microsoft Learn training modules before it ships, so content stays accurate as Copilot features keep shipping

Not sure if you're ready for the GH-300 exam?

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What Our Users Say

“I use Copilot every day but had never really thought about how the data flow and prompt building actually work under the hood. The architecture questions filled real gaps. Passed on my first attempt.”

DP

Devon P.

GH-300 Certified

“The prompt engineering domain was the one I underestimated going in. Practicing the zero-shot vs. few-shot scenarios here made the difference between guessing and actually knowing the right approach on exam day.”

NS

Nadia S.

Software Engineer

“As the person rolling out Copilot policy for our org, the questions on content exclusions and org-wide administration were spot on. Way more practical than I expected from a practice test.”

JC

Jamal C.

Passed GH-300 first try

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Candidates who complete at least 2 full mock exams pass at significantly higher rates than those who only study passively.

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Official Microsoft Resources

Our practice questions are aligned with official Microsoft exam objectives. We recommend studying with Microsoft Learn first, then using MSCertQuiz to test your readiness.

View Official GH-300 Exam Details

GH-300 Frequently Asked Questions

Everything you need to know about the GH-300 GitHub Copilot certification

What is GH-300?
GH-300 (GitHub Copilot) is a certification validating the ability to use GitHub Copilot responsibly to improve software development productivity, quality, and security — covering responsible AI use, Copilot features across the IDE, CLI, and Chat, prompt engineering, data handling, and privacy configuration.
How much does the GH-300 exam cost and how long is it?
The GH-300 exam costs $99 USD, runs approximately 100 minutes, and has a passing score of 700 out of 1000. Confirm current pricing and duration on the official certification page before booking, since exam details can shift alongside Copilot feature updates.
What is the passing score for GH-300?
The passing score for GH-300 is 700 out of 1000, the same threshold used across nearly all Microsoft and GitHub role-based certification exams. Scoring is scaled, so 700 represents roughly 70% competency spread across all six exam domains rather than a simple raw percentage.
What topics are covered on GH-300?
GH-300 covers six domains: Use GitHub Copilot responsibly (15-20%) — responsible AI principles, validating AI output, risks and limitations; Use GitHub Copilot features (25-30%) — IDE suggestions, Copilot CLI, Agent Mode, Copilot Edits, MCP, code review, and org-wide policy management; Understand GitHub Copilot data and architecture (10-15%) — data flow, prompt building, proxy filtering, suggestion lifecycle; Apply prompt engineering and context crafting (10-15%) — prompt structure, zero-shot/few-shot prompting, context determination; Improve developer productivity (10-15%) — code generation, refactoring, test generation, security suggestions; and Configure privacy, content exclusions, and safeguards (10-15%) — public code filtering, content exclusions, output ownership.
How hard is GH-300?
GH-300 is a scenario-heavy exam that expects hands-on experience using Copilot across the IDE, CLI, and Chat, not just familiarity with feature names. Candidates who have only used basic inline suggestions often find the data-architecture and organization-governance questions the hardest, since they require exposure most individual developers never get outside admin roles.
How long should I study for GH-300?
Candidates already using GitHub Copilot daily across the IDE, CLI, and Chat should plan 2-4 weeks, focused on the data-architecture and organization-administration domains. Candidates newer to Copilot should plan 4-6 weeks. We recommend working through GitHub's own Copilot documentation and Microsoft Learn's responsible-AI training modules first, then practicing with 500 scenario-based questions spread across all six domains in proportion to their exam weight.
What are the prerequisites for GH-300?
There are no enforced prerequisites to register for GH-300, but it is designed for candidates with hands-on experience using GitHub Copilot to improve development productivity, quality, and security — familiar with GitHub fundamentals and comfortable with at least one programming language.
Who should take GH-300?
GH-300 is aimed at developers, DevOps engineers, and technical leads who use GitHub Copilot day-to-day and want to formalize that skill, plus admins responsible for rolling out and governing Copilot across an organization. It pairs well with GH-900 (GitHub Foundations) for candidates building a broader GitHub credential portfolio and GH-600 (Developing in Agentic AI Systems) for those going deeper into agentic AI development.

Also Preparing For

Candidates studying GH-300 often prepare for these certifications next.

GH-900

GitHub Fundamentals

Practice test →GH-600

Agentic AI

Practice test →GH-200

GitHub Actions

Practice test →