With 2026 underway, PracticeVCE keeps a straightforward philosophy — customer first, service foremost — and applies it to every GitHub-Copilot product, from the GitHub CopilotCertification question bank itself to the after-sales care that follows your purchase.
GitHub GitHub-Copilot Exam Overview:
| Certification Vendor: | GitHub |
|---|---|
| Exam Name: | Microsoft GitHub Copilot |
| Exam Number: | GH-300 |
| Exam Price: | $99 USD |
| Real Exam Qty: | 60-65 |
| Exam Duration: | 100 minutes |
| Passing Score: | 700 / 1000 |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Related Certifications: | GitHub Copilot Certified Professional |
| Exam Format: | Multiple Choice |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Proctored (Online or Offline Test Centers) |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/github-copilot |
GitHub GitHub-Copilot Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Apply Prompt Engineering and Context | 10-15% | - Model-specific prompting, context files, best practices |
| Topic 2: Understand GitHub Copilot Data and Architecture | 10-15% | - Pipeline, MCP, context gathering, data handling |
| Topic 3: Improve Developer Productivity | 10-15% | - Agent workflows, productivity, SDLC integration |
| Topic 4: Configure Privacy, Exclusions, Safeguards | 10-15% | - Agent permissions, content exclusions, org policies |
| Topic 5: Responsible AI | 15-20% | - Ethics, validation, bias mitigation, transparency |
| Topic 6: GitHub Copilot Features | 25-30% | - Multi-model, Agent Mode, Mission Control, BYOK |
What Candidates Ask Before Preparing for GitHub-Copilot with PracticeVCE
- Apply Prompt Engineering and Context (10-15%)
- Responsible AI (15-20%)
- GitHub Copilot Features (25-30%)
GitHub CopilotCertification Sample Questions:
How can GitHub Copilot assist with code refactoring tasks?
- A. GitHub Copilot can suggest refactoring improvements for better code quality.
- B. GitHub Copilot can fix syntax errors without user input.
- C. GitHub Copilot can automatically rewrite code to follow best practices.
- D. GitHub Copilot can remove unnecessary files from the project directory.
Correct Answer: A 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
What caution should developers exercise when using GitHub Copilot for assistance with mathematical computations?
- A. GitHub Copilot's capability to optimize complex mathematical algorithms beyond manual coding.
- B. GitHub Copilot's automatic update of outdated mathematical formulas to modern standards.
- C. GitHub Copilot's reliance on pattern-based responses without verifying computation accuracy.
- D. GitHub Copilot's ability to execute and verify mathematical results in real-time.
Correct Answer: C 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
What GitHub Copilot feature can be configured at the organization level to prevent GitHub Copilot suggesting publicly available code snippets?
- A. GitHub Copilot access to Bing
- B. GitHub Copilot Chat in the IDE
- C. GitHub Copilot duplication detection filter
- D. GitHub Copilot Chat in GitHub Mobile
Correct Answer: C 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
What types of prompts or code snippets might be flagged by the GitHub Copilot toxicity filter?
(Each correct answer presents part of the solution. Choose two.)
- A. Code comments containing strong opinions or criticisms
- B. Hate speech or discriminatory language (e.g., racial slurs, offensive stereotypes)
- C. Code that contains logical errors or produces unexpected results
- D. Sexually suggestive or explicit content
Correct Answer: B,D 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
How does GitHub Copilot identify matching code and ensure that public code is appropriately handled or blocked? Each correct answer presents part of the solution. (Choose two.)
- A. Reviewing and storing user-specific private repository data for future suggestions
- B. Implementing safeguards to detect and avoid suggesting verbatim snippets from public code
- C. Filtering out suggestions that match code from public repositories
- D. Using machine learning models trained only on private repositories
Correct Answer: B,C 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
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