Google Professional Data Engineer
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In the context of building a real-time prediction engine that processes files potentially containing Personally Identifiable Information (PII) into Cloud Storage and then into BigQuery, how can the Cloud Data Loss Prevention API (DLP API) be effectively used to mask sensitive data while preserving referential integrity, especially when names and emails serve as common join keys?
A
Scan every table in BigQuery, and mask the data it finds that has PII.
B
Redact all PII data, and store a version of the unredacted data in a locked-down bucket.
C
Create a pseudonym by replacing the PII data with cryptogenic tokens, and store the non-tokenized data in a locked-down bucket.
D
Create a pseudonym by replacing PII data with a cryptographic format-preserving token.