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GCP Professional Data Engineer Practice Question

A global retailer ingests daily sales transactions into BigQuery. Customer email addresses and phone numbers must not be visible to analysts at partner companies, yet those partners need to join multiple days of data on the same customers to calculate repeat-purchase metrics. To satisfy GDPR requirements, the retailer wants a managed solution that irreversibly replaces the sensitive fields while preserving deterministic joinability across data sets. Which approach best meets these needs?

  • Rely on BigQuery column-level access controls to hide the email and phone columns from partner accounts.

  • Run Cloud DLP to perform deterministic cryptographic tokenization of the email and phone fields using a customer-managed key before loading each day's files.

  • Store the PII columns in a separate Cloud SQL instance and share only integer foreign keys with partners.

  • Enable Customer-Managed Encryption Keys (CMEK) on the BigQuery dataset so the PII remains encrypted when shared with partners.

GCP Professional Data Engineer
Designing data processing systems
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