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GitHub GitHub-Copilot Exam Overview:

Certification Vendor:	GitHub
Exam Name:	Microsoft GitHub Copilot
Exam Number:	GH-300
Passing Score:	700 / 1000
Available Languages:	English
Real Exam Qty:	60-65
Exam Price:	$99 USD
Exam Format:	Multiple Choice
Related Certifications:	GitHub Copilot Certified Professional
Exam Duration:	100 minutes
Certificate Validity Period:	2 years
Sample Questions:	GitHub GitHub-Copilot Sample Questions
Exam Way:	Proctored (Online or Offline Test Centers)
Official Syllabus URL:	https://learn.microsoft.com/en-us/credentials/certifications/github-copilot

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	Developer Use Cases for AI: This section of the exam measures skills of Full-Stack Developers and Cloud Engineers and covers how AI enhances developer productivity across various tasks such as learning new programming languages, debugging, writing documentation, and refactoring code. It discusses how GitHub Copilot integrates with the Software Development Lifecycle (SDLC) and its role in modernizing legacy applications. It also highlights the use of AI for personalized responses, sample data generation, and improving overall efficiency in software development.
Topic 2	How GitHub Copilot Works and Handles Data: This section of the exam measures the skills of Data Security Specialists and DevOps Engineers and covers how GitHub Copilot processes data, handles code suggestions and manages privacy concerns. It explains the data pipeline for Copilot’s suggestions, how it gathers context, and how prompts are processed through its AI model. The section also discusses the limitations of AI-generated code, the effects of historical data on suggestions, and the role of prompt crafting. Best practices for improving prompt effectiveness and optimizing AI-generated responses are included.
Topic 3	GitHub Copilot Plans and FeaturesThis section of the exam measures the skills of Software Engineers and IT Administrators and covers different GitHub Copilot plans, including Individual, Business, and Enterprise editions. It explains the integration of GitHub Copilot within IDEs and discusses key features such as inline chat, multiple suggestions, and exception handling. The section details the policies for managing GitHub Copilot within organizations, including auditing logs and API management. It also highlights advanced functionalities like knowledge bases for improved code quality and best practices for Copilot Chat usage.
Topic 4	Privacy Fundamentals and Context Exclusions: This section of the exam measures skills of Cybersecurity Specialists and Compliance Officers and covers privacy safeguards and content exclusion settings in GitHub Copilot. It explains how Copilot can identify security vulnerabilities, suggest optimizations, and enforce secure coding practices. It also includes details on content ownership, data filtering mechanisms, and exclusion configurations. The section concludes with troubleshooting guidelines for managing context exclusions and ensuring compliance with organizational security policies.
Topic 5	Responsible AI: This section of the exam measures the skills of AI Ethics Analysts and AI Developers and covers the principles of responsible AI usage, the risks associated with AI, and the limitations of generative AI tools. It includes the importance of validating AI-generated outputs and operating AI systems responsibly. It also explores potential harms such as bias, privacy concerns, and fairness issues, along with methods to mitigate these risks. The ethical considerations of AI development and deployment are also discussed.

GitHub CopilotCertification Exam Sample Questions (Q115-Q120):

NEW QUESTION # 115
How can you use GitHub Copilot to get inline suggestions for refactoring your code? (Select two.)

A. By highlighting the code you want to fix, right-clicking, and selecting "Fix using GitHub Copilot."
B. By running the gh copilot fix command.
C. By using the "/fix" command in GitHub Copilot in-line chat.
D. By adding comments to your code and triggering a suggestion.
E. By highlighting the code you want to fix, right-clicking, and selecting "Refactor using GitHub Copilot."

Answer: D,E

Explanation:
You can use GitHub Copilot for inline refactoring suggestions by adding comments to your code to trigger suggestions and by highlighting the code and selecting "Refactor using GitHub Copilot" from the context menu.

NEW QUESTION # 116
What is a benefit of using custom models in GitHub Copilot?

A. Responses use practices and patterns in your repositories
B. Responses use the organization's LLM engine
C. Responses are faster to produce and appear sooner
D. Responses are guaranteed to be correct

Answer: A

Explanation:
Custom models in GitHub Copilot allow the tool to learn from the specific code patterns and practices within your repositories. This results in suggestions that are more aligned with your organization's coding standards and conventions, improving the relevance and accuracy of the generated code.

NEW QUESTION # 117
Which of the following GitHub Copilot Business related activities can be tracked using the organization audit logs?

A. Suggestions blocked by duplication detection filtering
B. Changes to content exclusion settings
C. Accepted chat suggestions
D. Code suggestions made by GitHub Copilot

Answer: B

NEW QUESTION # 118
What is one of the recommended practices when using GitHub Copilot Chat to enhance code quality?

A. Disable Copilot's inline suggestions.
B. Rely solely on Copilot's suggestions without reviewing them.
C. Regularly review and refactor the code suggested by Copilot.
D. Avoid using Copilot for complex tasks.

Answer: C

Explanation:
Regularly reviewing and refactoring Copilot's output helps ensure that generated code adheres to your project's quality standards and catches any issues early.

NEW QUESTION # 119
How can GitHub Copilot facilitate a smoother learning experience when diving into a new programming language? (Each correct answer presents part of the solution. Choose two.)

A. GitHub Copilot can provide contextualized code suggestions and answer sources from an organization's documentation.
B. GitHub Copilot's /understand command will help GitHub Copilot to understand code written in a targeted programming language.
C. GitHub Copilot Chat can provide guidance and support for common coding tasks and challenges in the targeted programming language.
D. GitHub Copilot can convert comments into code to grasp the syntax and nuances of a new programming language.

Answer: C,D

Explanation:
GitHub Copilot helps with learning new languages by providing guidance on common tasks and by converting comments into code, allowing developers to see syntax in action.

NEW QUESTION # 120
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