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GitHub GitHub-Copilot Exam Overview:

Certification Vendor:	GitHub (Microsoft)
Exam Name:	GitHub Copilot Certification Exam
Exam Number:	GH-300
Exam Duration:	100 minutes
Related Certifications:	GitHub Advanced Security Certification
Passing Score:	Not officially disclosed (commonly reported ~700/1000)
Exam Format:	Multiple-choice, Proctored (Pearson VUE), Scenario-based
Real Exam Qty:	Approximately 60 scored questions + unscored items
Available Languages:	Portuguese (Brazil), English, Korean, Japanese, Spanish
Exam Price:	$99 USD
Certificate Validity Period:	24 months
Recommended Training:	GitHub Docs Copilot Guide GitHub Copilot Learning Path (Microsoft Learn)
Exam Registration:	Official GitHub Copilot Certification Page Microsoft Learn Certifications
Sample Questions:	GitHub GitHub-Copilot Sample Questions
Exam Way:	Online proctored or Pearson VUE test center
Pre Condition:	No formal prerequisites required; recommended familiarity with GitHub and basic programming experience
Official Syllabus URL:	https://learn.github.com/certification/COPILOT

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GitHub GitHub-Copilot Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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 3	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 4	Testing with GitHub Copilot: This section of the exam measures skills of QA Engineers and Test Automation Specialists and covers AI-assisted testing methodologies, including the generation of unit tests, integration tests, and edge case detection. It explains how GitHub Copilot improves test effectiveness by suggesting relevant assertions and boilerplate test cases. The section also discusses privacy considerations, organizational code suggestion settings, and best practices for configuring GitHub Copilot’s testing features.

GitHub CopilotCertification Exam Sample Questions (Q51-Q56):

NEW QUESTION # 51
Why might a Generative AI (Gen AI) tool create inaccurate outputs?

A. The Gen AI tool is overloaded with too many requests at once.
B. The training data might contain biases or inconsistencies.
C. The Gen AI tool is programmed with a focus on creativity over factual accuracy.
D. The Gen AI tool is experiencing downtime and is not fully recovered.

Answer: B

Explanation:
Gen AI tools can produce inaccurate outputs if the training data contains biases or inconsistencies, which can lead to flawed or misleading results.

NEW QUESTION # 52
When using GitHub Copilot Chat to generate boilerplate code for various test types, how can you guide the AI to follow the testing standards of your company?

A. By using a specific setting in GitHub Copilot's configuration.
B. By using a specific slash command in the prompt.
C. By using specific prompt examples in your chat request.
D. By using a specific command in the terminal.

Answer: C

Explanation:
Providing concrete examples of your company's test structure and standards within the prompt steers Copilot Chat to generate boilerplate that aligns with your guidelines.

NEW QUESTION # 53
Identify the steps involved in the life cycle of a GitHub Copilot code suggestion? Each correct answer presents part of the solution. (Choose two.)

A. Capturing the user's context
B. Processing telemetry data
C. Retraining the model
D. Storing user data
E. Generate suggestions

Answer: A,E

Explanation:
GitHub Copilot begins by capturing your current editing context - such as surrounding code, comments, and cursor position - and then feeds that into its AI model to generate code suggestions tailored to what you're working on.

NEW QUESTION # 54
A company is currently storing code in Bitbucket and would like to use GitHub Copilot. Which GitHub Copilot plan will be most cost effective to allow them to manage users with their Identity Provider (e.g. Okta)?

A. GitHub Copilot Individual
B. GitHub Copilot Business for non-GHE customers
C. GitHub Copilot Teams
D. GitHub Copilot Enterprise

Answer: D

Explanation:
GitHub Copilot Enterprise is the most cost-effective plan for managing users with an Identity Provider like Okta, as it provides enterprise-level features and integration.

NEW QUESTION # 55
What specific function does the '/fix' slash command perform?

A. Initiates a code review with static analysis tools for security and logic errors.
B. Converts pseudocode into executable code, optimizing for readability and maintainability.
C. Proposes changes for detected issues, suggesting corrections for syntax errors and programming mistakes.
D. Generates new code snippets based on language syntax and best practices.

Answer: C

Explanation:
The /fix command tells Copilot to examine the selected code, identify syntax or logic issues, and propose corrections - streamlining the process of fixing errors directly in your editor.

NEW QUESTION # 56
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