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Your company wants to determine what products they can build to help customers improve their credit scores depending on their age range. To achieve this, you need tojoin user information in the company's banking app with customers' credit score data received from a third party. While using this raw data will allow you to complete this task, it exposes sensitive data, which could be propagated into new systems. This risk needs to be addressed using de-identification and tokenization with Cloud Data Loss Prevention while maintaining the referential integrity across the database. Which cryptographic token format should you use to meet these requirements?
Correct Answer: A
Explanation "This encryption method is reversible, which helps to maintain referential integrity across your database and has no character-set limitations."https://cloud.google.com/blog/products/identity-security/take-charge-of-your-data-how-tokenization https://cloud.google.com/dlp/docs/pseudonymization FPE provides fewer security guarantees compared to other deterministic encryption methods such as AES-SIV. For these reasons, Google strongly recommends using deterministic encryption with AES-SIV instead of FPE for all security sensitive use cases. Other methods like deterministic encryption using AES-SIV provide these stronger security guarantees and are recommended for tokenization use cases unless length and character set preservation are strict requirements-for example, for backward compatibility with a legacy data system.