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GCP Professional Data Engineer Practice Question

A retail analytics team maintains a BigQuery table that receives several thousand new sales records every minute. Analysts complain that their Looker Studio dashboards run slowly when they join this fact table with multiple dimension tables. You propose creating a materialized view that pre-aggregates daily revenue by product category and region. To minimize ongoing maintenance effort, which statement about how BigQuery materialized views stay up-to-date should you communicate to the team?

  • The view's cached results are static; you must drop and recreate the materialized view after every batch load to reflect new sales records.

  • BigQuery refreshes the materialized view automatically whenever the base fact table is modified, applying incremental updates in the background without human intervention.

  • A Cloud Scheduler job invoking a REFRESH MATERIALIZED VIEW statement must run at least every 30 minutes; otherwise queries use stale data.

  • The view refreshes only when users query it; until then, new data remains invisible, so dashboards should force a SELECT soon after each load.

GCP Professional Data Engineer
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