Google Cloud Professional Data Engineer Exam

What is the best solution for redacting sensitive information during data migration to a warehouse?

1. Use regular expressions to identify sensitive data

2. Delete all columns with sensitive information titles

3. Use the Cloud Data Loss Prevention (DLP) API

4. Date shifting of sensitive data using DLP API

The correct answer is: Use the Cloud Data Loss Prevention (DLP) API

The best solution for redacting sensitive information during data migration to a warehouse is to use the Cloud Data Loss Prevention (DLP) API. This API is specifically designed for discovering, classifying, and redacting sensitive data, making it a powerful tool for data governance and compliance purposes. Utilizing the DLP API helps automate the identification of sensitive information such as credit card numbers, social security numbers, and other personally identifiable information (PII). It provides predefined templates for various types of sensitive data and allows for customizable redaction techniques according to the organization's requirements. This ensures that sensitive data is adequately handled during migration, reducing the risk of data breaches or non-compliance with data protection regulations. The other options, such as using regular expressions, may offer a manual approach but can be error-prone and less comprehensive than an automated solution like the DLP API. Deleting columns containing sensitive information could lead to loss of valuable data that might not need to be redacted entirely. Likewise, date shifting can distort the data in a way that may render it unusable for analysis, so while it has its place, it doesn't address the need to identify and classify sensitive data as efficiently as the DLP API does.