Explanation:
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.
Ultimate access to all questions.
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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