Google Cloud Professional Cloud Security Engineer Practice Exam

Which API should be used for tokenization and pseudonymization in BigQuery?

1. Cloud Data Loss Prevention API

2. Cloud Identity API

3. BigQuery Data Transfer Service

4. Cloud Key Management Service

The correct answer is: Cloud Data Loss Prevention API

The correct choice is the Cloud Data Loss Prevention (DLP) API, which is specifically designed to help with sensitive data protection, including tokenization and pseudonymization. Tokenization is a process that replaces sensitive data with non-sensitive substitutes, known as tokens, to reduce the risk of exposing personally identifiable information (PII) during analytics operations, while pseudonymization allows data to be processed without directly identifying individuals. Using the Cloud DLP API, you can scan datasets for sensitive information and then apply tokenization or pseudonymization methods directly within BigQuery. This is essential for maintaining data privacy and compliance with regulations such as GDPR or HIPAA, where handling sensitive data must be done carefully to avoid exposure. The other options do not serve this specific purpose. The Cloud Identity API primarily deals with identity management and authentication, the BigQuery Data Transfer Service is focused on scheduling and automating data imports from various sources into BigQuery, and the Cloud Key Management Service is concerned with managing cryptographic keys rather than handling data tokenization or pseudonymization. Therefore, utilizing the Cloud DLP API is the best approach for securely handling sensitive data within BigQuery.