Google Professional Machine Learning Engineer Question 126
Select 3Google Cloud PlatformYou are working on a machine learning model for a healthcare application that requires processing sensitive patient data, including medical records. Which of the following practices should you implement to ensure compliance with privacy regulations and mitigate privacy risks?
- A
Encrypt sensitive data both at rest and in transit.
- B
Use synthetic data instead of real patient data for model training wherever possible.
- C
Store patient data in a non-regulated region to reduce storage costs.
- D
Apply differential privacy techniques to prevent the re-identification of individuals in the dataset.
- E
Avoid obtaining explicit consent from patients if the data is anonymized.
Show answer and explanation
Correct answers: A, B, D
Explanation
Handling sensitive data, such as patient medical records, requires strict adherence to privacy regulations and best practices. Encrypting data, using synthetic data, and applying differential privacy techniques are effective methods to protect privacy and ensure compliance. However, storing data in non-regulated regions and bypassing explicit consent can lead to violations of data protection laws.
- A. Correct.
Encrypting sensitive data both at rest and in transit is a critical security measure to protect data from unauthorized access and comply with privacy regulations such as HIPAA or GDPR.
- B. Correct.
Using synthetic data for training reduces the risk of exposing sensitive information while maintaining the utility of the data for model development.
- C. Incorrect.
Storing patient data in a non-regulated region may violate privacy regulations like GDPR, which often require data to be stored in specific geographic regions. This is not a recommended practice.
- D. Correct.
Differential privacy techniques add noise to the data, preventing the identification of individuals even if some data points are leaked. This ensures privacy preservation while enabling useful data analysis.
- E. Incorrect.
Avoiding explicit consent from patients, even if the data is anonymized, can violate privacy regulations. Many frameworks still require clear, explicit consent for the use of personal data.