Google Cloud Professional Machine Learning Engineer — Question 104

You are an ML engineer at a bank that has a mobile application. Management has asked you to build an ML-based biometric authentication for the app that verifies a customer’s identity based on their fingerprint. Fingerprints are considered highly sensitive personal information and cannot be downloaded and stored into the bank databases. Which learning strategy should you recommend to train and deploy this ML mode?

Answer options

• A. Data Loss Prevention API
• B. Federated learning
• C. MD5 to encrypt data
• D. Differential privacy

Correct answer: B

Explanation

The correct answer is B, Federated learning, which allows models to be trained on user devices without transferring sensitive data to a central server. Options A, C, and D do not directly address the requirement of training a model using sensitive biometric data while keeping it secure and private.