GCP Professional Data Engineer Practice Question

You manage a 4 TB BigQuery table that records click-stream events (about 500 million new rows per day). Business-intelligence dashboards built in Looker Studio always apply two mandatory filters: a date range selection (last 1-14 days) and the visitor's country_code. You plan to turn on BigQuery BI Engine with the default 10 GB memory reservation and want queries from the dashboards to be accelerated without increasing that reservation size. Which table redesign will best help BI Engine stay within the memory limit while still answering the dashboards quickly?

  • Create an unpartitioned materialized view that selects all event columns and point dashboards to the view.

  • Move the data to an external Parquet table on Cloud Storage and query it through BigQuery.

  • Keep the table as-is but disable partition pruning so BI Engine caches the entire dataset up front.

  • Partition the table by DATE(event_timestamp) and cluster it by country_code so queries can prune both dimensions.

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