Google Professional Machine Learning Engineer Question 463
Select 3Google Cloud PlatformYou are designing a machine learning system for a healthcare application that processes sensitive patient data. To ensure your AI system is secure and protects against unintentional exploitation of data, what practices should you follow?
- A
Implement data encryption for sensitive data both in transit and at rest.
- B
Use differential privacy techniques to anonymize training data.
- C
Store raw training data indefinitely for reproducibility purposes.
- D
Regularly audit and monitor models for unintended biases or data leakage.
- E
Enable unrestricted access to the training dataset for all developers to encourage collaboration.
Show answer and explanation
Correct answers: A, B, D
Explanation
To build secure AI systems while protecting against unintentional exploitation of data, it is crucial to focus on practices like encrypting sensitive data, anonymizing it using techniques like differential privacy, and auditing models for potential risks. Avoiding practices such as storing raw data indefinitely or granting unrestricted access to sensitive data is equally important to maintain data security and system integrity.
- A. Correct.
Implementing data encryption ensures that sensitive data is protected from unauthorized access during transfer and storage. This is a critical security practice.
- B. Correct.
Differential privacy techniques help anonymize training data while preserving its utility for machine learning. This protects sensitive individual information and prevents unintentional exploitation.
- C. Incorrect.
Storing raw training data indefinitely increases the risk of unauthorized access and data misuse, violating data governance best practices and regulatory requirements.
- D. Correct.
Auditing and monitoring models regularly can help detect unintended biases, data misuse, or security flaws, ensuring the system remains secure and ethical.
- E. Incorrect.
Providing unrestricted access to sensitive data to all developers increases the risk of data leakage and unintentional exploitation. Access should be granted on a need-to-know basis.