Microsoft GH-300 Practice Exam Questions & Answers
6 Free Questions
· Last reviewed: September 23, 2026
· Prepared & Reviewed by the ValidExamDumps Editorial Team
Exam Facts
Microsoft GH-300 Exam Details
Key details for this exam, checked against the published exam outline
120
Practice Questions (Our Bank)
120 minutes
Exam Duration
700 out of 1000
Passing Score
USD 99
Official Exam Fee
- Exam Code
- GH-300
- Full Name
- Exam GH-300: GitHub Copilot
- Issuing Body
- Microsoft
- Question Format (Our Bank)
- Multiple Choice
- Delivery
- Online proctored or at a Pearson VUE test centre
- Eligibility
- Familiarity with GitHub fundamentals and experience with one or more programming languages
Practice Questions
Free GH-300 Practice Questions
Each question shows the correct answer and an explanation of why it is right
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Every question and its answer is checked by our GH-300 exam
preparation team, who also write the explanation shown with each one.
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What is the process behind identifying public code matches when using a public code filter enabled in GitHub Copilot?
Correct Answer:
A
Explanation
When the public code filter is enabled, GitHub Copilot runs code suggestions through filters designed to detect matches with publicly available code. This helps prevent the generation of code that might infringe on copyright or licensing agreements.
How can GitHub Copilot aid developers in writing documentation for their code?
Correct Answer:
C
Explanation
''Copilot can suggest comments and documentation summaries that describe the functionality of the code being written.''
This makes option C correct, as Copilot provides summaries or descriptions rather than full automatic documentation.
What GitHub Copilot feature can be configured at the organization level to prevent GitHub Copilot suggesting publicly available code snippets?
Correct Answer:
C
Explanation
The duplication detection filter can be configured at the organization level to prevent GitHub Copilot from suggesting publicly available code snippets.
What is a key consideration when relying on GitHub Copilot Chat's explanations of code functionality and proposed improvements?
Correct Answer:
B
Explanation
While GitHub Copilot Chat can provide helpful explanations and suggestions, it's crucial to review and validate the generated output. Copilot's suggestions are based on its training data, and they may not always be perfectly accurate or complete. Human judgment is essential to ensure the quality and correctness of the code.
What is the primary purpose of organization audit logs in GitHub Copilot Business?
Correct Answer:
D
Explanation
''Audit logs in Copilot Business allow enterprise and organization administrators to monitor administrator activities and configuration changes.''
This proves that their purpose is not line tracking or license assignment but monitoring admin activities.
Which GitHub Copilot plan could an Azure DevOps organization use without requiring a GitHub Enterprise license?
Correct Answer:
C
Explanation
''GitHub Copilot for Azure DevOps is available to Azure DevOps organizations without requiring a GitHub Enterprise license.''
This confirms that Copilot for Azure DevOps is the correct plan for such organizations.
Full Access
Get the complete GH-300 question set
- 135 questions covering all exam domains
- Correct answers with explanations, like the free questions above
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Domain 1: Use GitHub Copilot responsibly
15% - 20%
Understand responsible AI principles and describe the risks and limitations of generative AI tools. Explain the need to validate AI output and identify how to operate GitHub Copilot responsibly in your development workflow.
Sample question from this domain above:
Q4
Domain 2: Use GitHub Copilot features
25% - 30%
Enable Copilot in your IDE, trigger it through inline suggestions, chat, CLI, and agent mode. Learn to use Agent Mode, Copilot Edits, MCP, and manage content exclusions for files and repositories.
Sample question from this domain above:
Q6
Domain 3: Understand GitHub Copilot data and architecture
10% - 15%
Explain how Copilot processes data, builds prompts, and handles filtering. Visualize the code suggestion lifecycle and understand the limitations of large language models.
Domain 4: Apply prompt engineering and context crafting
10% - 15%
Describe prompt structure and how context is determined. Apply zero-shot and few-shot prompting techniques and follow best practices for effective prompt crafting.
Domain 5: Improve developer productivity with GitHub Copilot
10% - 15%
Use Copilot for code generation, refactoring, and documentation. Generate tests and identify security improvements while accelerating learning and reducing context switching.
Sample question from this domain above:
Q2
Domain 6: Configure privacy, content exclusions, and safeguards
10% - 15%
Configure content exclusions and editor settings to protect sensitive code. Enable public code filtering and troubleshoot issues with suggestions and exclusions.
Sample questions from this domain above:
Q1Q3Q5
FAQ
GH-300 Exam FAQ
Common questions about the exam itself
What background do I need before taking the GH-300?
You should be familiar with GitHub fundamentals and have practical experience with at least one programming language. The exam assumes intermediate knowledge of development workflows and how developers use version control. Prior experience with Copilot itself helps but is not a requirement.
Is GH-300 harder than GH-900 GitHub Foundations?
Yes. GH-300 is intermediate-level and deeply tool-specific, while GH-900 is foundational. GH-300 tests your ability to use Copilot across IDEs, CLIs, and organizational settings, with heavy emphasis on prompt engineering and responsible AI practices. GH-900 covers GitHub platform basics.
Which domain do candidates struggle with most on GH-300?
Responsible AI principles and data handling tend to trip up candidates because they require conceptual reasoning rather than hands-on feature knowledge. The exam tests how Copilot behaves, when to trust it, and how to govern it across a team, not just how to click buttons.
How long does preparation typically take for GH-300?
Most candidates report a realistic four-week study plan. Week one covers responsible AI and fundamentals through Microsoft Learn paths. Weeks two and three involve hands-on time in your IDE with features like Agent Mode and Copilot Chat. Week four focuses on scenario-based practice questions.
What happens on exam day for GH-300?
You have 120 minutes to answer questions delivered through Pearson VUE. The exam mixes multiple-choice questions with scenario-based questions that ask you to reason about Copilot behavior, configuration decisions, and governance scenarios. You need a score of 700 out of 1000 to pass.
Can I retake GH-300 if I fail?
Yes. You can retake the exam after a 24-hour wait following your first attempt. Subsequent retakes require a 14-day wait between attempts. Each retake costs the full exam fee.
How long does the GH-300 certification stay valid?
Microsoft has not published a public validity period for the GitHub Copilot certification. Check the official Microsoft Learn certification page or contact Pearson VUE for current renewal requirements.
What job roles does GH-300 align with?
GH-300 is designed for developers and teams using Copilot in production. It signals to employers that you can use AI-assisted coding responsibly and govern it at scale. It pairs well with role-based Azure certifications or AI fundamentals credentials like AI-900 to round out an AI-capable profile.
Is GH-300 different from the January 2026 changes I heard about?
Yes, significantly. The January 2026 revision added Agent Mode, Edit Mode, Plan Mode, Sub-Agents, MCP, Copilot Spaces, Copilot Spark, Copilot CLI, and Copilot Code Review policies to scope. Any study material published before mid-2025 is missing large sections of the current exam.
What makes the GH-300 different from GH-500 Advanced Security?
GH-300 is entirely about getting the most from Copilot as an AI pair programmer. GH-500 focuses on securing GitHub repos and supply chains with advanced security features. They test completely different tools and skills, though a developer might pursue both.
