Crucial Exams

GCP Professional Cloud Security Engineer Practice Question

Your company stores payment transactions in a BigQuery table that contains customers credit-card numbers. Security requires that: (1) every card number is automatically replaced with a format-preserving token before anyone queries it; (2) analysts may read all other columns but must never see raw card data; (3) a marketing vendor working in a separate Google Cloud project must receive only daily sales aggregates and never gain access to underlying tables. Which approach meets all requirements with the least ongoing operational effort?

  • Run a Sensitive Data Protection inspection-transformation job that writes a tokenized copy of the table to an analytics dataset; grant analysts BigQuery Data Viewer on that dataset; create an authorized view with aggregate queries and share only the view with the vendor's project.

  • Export the table nightly to Cloud Storage, use a Dataflow pipeline to redact credit cards, reload the result into a new table, and share that table with analysts and the vendor.

  • Encrypt the table with a customer-managed key and use row-level security to remove the credit-card column, then deliver aggregated CSV exports to the vendor through signed URLs.

  • Apply column-level security to mask the credit-card column and let analysts and the vendor query the same dataset directly.

GCP Professional Cloud Security Engineer
Ensuring data protection
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