IsacaIsaca
CDPSE · Question #429
CDPSE Question #429: Real Exam Question with Answer & Explanation
The correct answer is C: Data remains local and never leaves the system where it resides.. Federated learning enhances privacy by training AI models locally on user devices and only sharing model updates, not raw data. This ensures personal data stays on the device, reducing exposure and risk of unauthorized access.
Privacy Architecture
Question
Which of the following BEST describes how data privacy is enhanced by federated learning?
Options
- AAll user data is centralized and undergoes comprehensive analysis.
- BRaw data is pseudonymized across all devices to improve data privacy.
- CData remains local and never leaves the system where it resides.
- DComplete transparency is ensured regarding the use of personal data for training.
Explanation
Federated learning enhances privacy by training AI models locally on user devices and only sharing model updates, not raw data. This ensures personal data stays on the device, reducing exposure and risk of unauthorized access.
Topics
#Federated learning#Data privacy#Data localization#Privacy-enhancing technologies
Community Discussion
No community discussion yet for this question.