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Answer: Create a pseudonym by replacing the PII data with a cryptographic format-preserving token to maintain referential integrity.
To ensure referential integrity while masking PII data, employing a cryptographic format-preserving token to substitute the sensitive information is effective. This approach allows data to be joined using identical key values, simultaneously safeguarding sensitive data from unauthorized access.
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How can the Cloud Data Loss Prevention API (DLP API) be utilized to mask personally identifiable information (PII) in real-time streaming files without compromising referential integrity?
A
Scan every table in BigQuery for PII data, and mask the data that it finds.
B
Redact all PII data, and store an unredacted version of the data in a secure bucket.
C
Replace the PII data with cryptogenic tokens to create a pseudonym, and store the non-tokenized data in a secured bucket.
D
Create a pseudonym by replacing the PII data with a cryptographic format-preserving token to maintain referential integrity.
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