GCP Professional Data Engineer Practice Question

A retail analytics team builds a Looker Studio dashboard on BigQuery. They create a materialized view that aggregates daily sales, enable BI Engine capacity, protect PII columns with policy-tag column security and dynamic masking, and grant analysts access only through an authorized view that selects non-PII columns. When analysts refresh the dashboard, how will BigQuery handle query acceleration and security?

  • BI Engine must be disabled because policy tags or dynamic masking prevent it from caching results.

  • BI Engine ignores materialized views and always scans the base tables, so the dashboard gains no performance benefit.

  • BI Engine caches and accelerates the authorized view, automatically leveraging the materialized view while honoring column-level security and data masking.

  • BI Engine returns unmasked PII data because its cache is populated before security policies are applied.

GCP Professional Data Engineer
Preparing and using data for analysis
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