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GCP Professional Data Engineer Practice Question

Your organization uses Looker Studio and Tableau to visualize operational data stored in a BigQuery dataset. Looker Studio connects with its native BigQuery connector, while Tableau connects through the official Simba ODBC driver. Analysts complain that interactive dashboards slow down during peak business hours, but you cannot change the SQL that the tools generate or the way they connect. You must improve query latency quickly and transparently, and you want a solution that will benefit both tools without requiring any modification on the client side. What should you do?

  • Ask report authors to add the /*+ RESULT_CACHE */ query hint and enable table result caching; this will let BigQuery cache results for repeated dashboard loads.

  • Export the data to a Cloud SQL replica and re-point Tableau and Looker Studio to the replica so that queries run outside BigQuery at lower load.

  • Create materialized views for the slowest dashboard queries and instruct each BI team to replace existing tables with the new views.

  • Purchase and allocate BI Engine in-memory capacity for the BigQuery project; no further changes are required because both tools already issue queries through the BigQuery API.

GCP Professional Data Engineer
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