Which of the following zones within a data lake requires sensitive data to be encrypted or tokenized?

A raw zone is a zone within a data lake that contains unprocessed or unstructured data that is

ingested from various sources without any transformation or validation. A raw zone may contain

sensitive data that has not been identified or classified yet, such as personal data. Therefore,

sensitive data in a raw zone should be encrypted or tokenized to protect its confidentiality and

integrity. Encryption is a process of transforming data into an unreadable form using a secret key or

algorithm. Tokenization is a process of replacing sensitive data with non-sensitive substitutes called

tokens. Both encryption and tokenization help to prevent unauthorized or unlawful access, use,

disclosure, or transfer of sensitive data in a raw zone. Reference: : CDPSE Review Manual (Digital

Version), page 169