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Foundational · GH-300Prep available

GitHub Certified: GitHub Copilot (GH-300) practice exam and study path

A free, timed 50-question GH-300 practice exam in 100 minutes, scored by domain, with every option explained after you submit. Also 106 practice questions you can check one at a time, a page for every task in the exam guide, and a study path. No sign-up.

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GitHub Copilot exam pack:

$4.99for 12 months

For developers who work with GitHub Copilot every day: responsible use, Copilot in the IDE, the CLI and on GitHub.com, agents and code review, organization policies, how Copilot handles data, prompt and context crafting, testing and productivity, and privacy safeguards.

The exam

Exam code
GH-300
Questions
Not yet published
Time
100 minutes
Passing score
700 of 1,000 (scaled)
Exam fee
$99 (USD)
Question types
multiple choice, multiple response

Exam GH-300 is a proctored exam of 100 minutes, offered in English, Spanish, Portuguese (Brazil), Korean and Japanese; it may include interactive components, and 700 passes. Microsoft doesn't publish the number of questions (most of its exams have 40 to 60). The fee is set by the country or region (USD 99 in the United States). GitHub certifications are valid for two years. Our forms use 50 questions split 9 / 15 / 7 / 6 / 6 / 7, close to the scaled midpoints of the guide's ranges.

From GitHub's certification page and exam guide, checked Oct 25, 2026.

Domains and weights

  • Domain 1: Use GitHub Copilot responsibly

    19%

  • Domain 2: Use GitHub Copilot features

    29%

  • Domain 3: Understand GitHub Copilot data and architecture

    13%

  • Domain 4: Apply prompt engineering and context crafting

    13%

  • Domain 5: Improve developer productivity with GitHub Copilot

    13%

  • Domain 6: Configure privacy, content exclusions, and safeguards

    13%

On our roadmap this comes after GitHub Foundations. See every certification.

Practice

106 original practice questions, every option explained with the GitHub documentation page that proves it. Free, no sign-up; progress stays on this device.

Your results on this device →

More practice exams

The lessons, the sample questions on every task page and the first full practice exam are free and stay free. A pack adds the further timed GH-300 practice exams.

GitHub Copilot exam pack

$4.99for 12 months

  • Every paid GH-300 practice exam, timed, with every option explained
  • The next version of this exam included when it changes within your 12 months
  • 12 months of access. One payment, nothing renews by itself.
  • 14-day refund, no conditions
  • 14-day refund, no conditions: ask within 14 days of buying and you get the whole payment back.
  • No pass guarantee. These are practice exams written by us from the exam guide and the GitHub documentation; a score here does not predict your result on the real exam.

Study path

One module per exam domain. Lessons that already exist on BytePatterns are linked; the rest are being written.

  1. Module 1: Use GitHub Copilot responsibly

    1. 1Risks and limitations of generative AI: hallucination, bias, insecure code and overrelianceTask 1.1

      Partly covered by: What Is an LLM, Evaluating LLMs

    2. 2The six principles of responsible AI that GitHub followsTask 1.1

      Lesson coming

    3. 3Harms of AI use and the mitigations: filters, human oversight and guardrailsTask 1.1

      Partly covered by: Guardrails

    4. 4Validating AI output before you rely on itTask 1.2

      Partly covered by: Evaluating LLMs

    5. 5Operating Copilot responsibly: approvals, review and the cloud agent's safeguardsTask 1.2

      Partly covered by: Agents and Tools

  2. Module 2: Use GitHub Copilot features

    1. 6Setting up Copilot in VS Code, Visual Studio, JetBrains IDEs, Xcode, Eclipse and VimTask 2.1

      Lesson coming

    2. 7Inline suggestions, next edit suggestions, chat, plan mode and agent mode in the IDETask 2.1

      Lesson coming

    3. 8Copilot CLI: installing, signing in, interactive and programmatic useTask 2.2

      Lesson coming

    4. 9Copilot CLI: tool approvals, trusted directories, sessions, autopilot and /delegateTask 2.2

      Partly covered by: The Tool-Use Loop

    5. 10Agents, MCP servers, subagents and agent sessionsTask 2.3

      Partly covered by: Agents and Tools, The Tool-Use Loop

    6. 11Copilot code review, pull request summaries, Spaces and SparkTask 2.3

      Lesson coming

    7. 12Custom instructions, prompt files and Copilot Chat's commandsTask 2.3

      Lesson coming

    8. 13Enterprise and organization policies, and feature availability by surfaceTask 2.4

      Lesson coming

    9. 14Audit log events and managing seats with the REST APITask 2.4

      Lesson coming

  3. Module 3: Understand GitHub Copilot data and architecture

    1. 15What data Copilot uses, keeps and shares, and the training choices by planTask 3.1

      Partly covered by: Finding and Masking PII

    2. 16How a prompt is built from context, and the proxy filtering and post-processingTask 3.1

      Partly covered by: Context Windows, Tokenization

    3. 17The life of a code suggestionTask 3.2

      Partly covered by: What Is an LLM, Temperature and Sampling

    4. 18Limitations of large language models and of CopilotTask 3.2

      Partly covered by: What Is an LLM, Fine-Tuning vs Prompting, Adapters and LoRA

  4. Module 4: Apply prompt engineering and context crafting

    1. 19Prompt structure, context and how Copilot determines itTask 4.1

      Partly covered by: Context Windows

    2. 20Zero-shot, one-shot and few-shot prompting, and prompt-writing practicesTask 4.1

      Partly covered by: Fine-Tuning vs Prompting

    3. 21Prompt engineering principles and the prompt process flowTask 4.2

      Lesson coming

    4. 22Chat history, compaction and context windowsTask 4.2

      Partly covered by: Context Windows

  5. Module 5: Improve developer productivity with GitHub Copilot

    1. 23Generating, refactoring and documenting code with CopilotTask 5.1

      Lesson coming

    2. 24Learning faster, less context switching, sample data and legacy codeTask 5.1

      Partly covered by: Measuring AI Value

    3. 25Unit and integration tests, edge cases and assertionsTask 5.2

      Lesson coming

    4. 26Security and performance improvements with CopilotTask 5.2

      Lesson coming

  6. Module 6: Configure privacy, content exclusions, and safeguards

    1. 27Content exclusions for repositories, organizations and enterprisesTask 6.1

      Lesson coming

    2. 28Editor settings, training choices, and the ownership and limits of outputTask 6.1

      Lesson coming

    3. 29Blocking suggestions that match public code, and code referencesTask 6.2

      Lesson coming

    4. 30Troubleshooting suggestions and content exclusionsTask 6.2

      Lesson coming

Every task in the exam guide

The exam guide splits each domain into task statements. Each one has a page with a short summary, the lessons that teach it and open sample questions.

Domain 1: Use GitHub Copilot responsibly

Domain 2: Use GitHub Copilot features

Domain 3: Understand GitHub Copilot data and architecture

Domain 4: Apply prompt engineering and context crafting

Domain 5: Improve developer productivity with GitHub Copilot

Domain 6: Configure privacy, content exclusions, and safeguards

How these questions are made

  • Written by us from the exam guide's task statements and the GitHub documentation — never from real exam content.
  • Every option carries its own explanation and a link to the GitHub page that proves it.
  • A question enters a timed exam only after an independent check; until then it is a practice question.
  • Results are a plain percentage, per domain too — not an imitation of GitHub's scaled score.

Questions about the GH-300 practice exam

Is the GH-300 practice exam free?
Yes. The full practice exam (50 questions, 100 minutes) is free with no sign-up, and so are the 106 practice questions, the task pages and the study path. Your attempts are saved in this browser, on this device.
How many questions does it have, and is it timed?
50 questions in 100 minutes: the real GH-300 pace, scaled to this form. When the time runs out, the exam is submitted as it stands.
Are the answers explained?
After you submit, not during: like the real exam, the timed exam gives no feedback until the end. Then you get your score overall and per exam domain, and every question with each option explained and a link to the GitHub documentation page behind it. In practice mode an answer is explained as soon as you check it.
What does the GitHub Copilot exam pack add?
3 more timed practice exams (Practice exam 1: 50 questions, 100 minutes; Practice exam 2: 50 questions, 100 minutes; Practice exam 3: 50 questions, 100 minutes), each scored and explained the same way, and the next version of this exam if it changes within your 12 months. 12 months of access. One payment, nothing renews by itself. Everything above stays free. See the pack.
Can I get a refund?
Yes, with no conditions: ask within 14 days of buying and you get the whole payment back. The details are in the terms.
Is this an official GitHub practice exam?
No. BytePatterns is not affiliated with, endorsed or sponsored by GitHub. Every question is written by us from the public exam guide and the GitHub documentation, never from real exam content, and a score here does not predict your result on the real exam. GitHub lists its own preparation resources on its certification page.