GH-300: Security, Privacy & Compliance
Security, Privacy & Compliance is one of the skill areas tested on the GitHub Copilot (GH-300) exam. Below are free GH-300 practice questions with worked answers and a concept diagram — each with a plain-language explanation. Practice the first 10 questions of GH-300 free, no signup.
The concept, in one picture
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Why does securing the code that a generative AI (Gen AI) tool works with matter?
- ✓ It blocks unauthorized access and reduces the risk of data breaches.
- It unlocks the ability to build more advanced AI capabilities.
- It lets the AI system process much larger datasets.
- It keeps the AI system's internal logic consistent.
Securing the code used with generative AI prevents unauthorized access and protects sensitive data from potential breaches — that is the primary reason it matters.
Enabling advanced features, scaling datasets, or preserving internal consistency are not the security rationale.
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