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GCP Professional Data Engineer Practice Question

Your analytics team relies on a third-party business-intelligence application that connects to BigQuery through the official JDBC driver. As dashboard adoption grows, report refresh times have risen from sub-second to 20-30 seconds. You need to accelerate query performance without altering existing SQL, changing the BI tool's connection method, or moving data outside BigQuery; dashboards must still reflect near-real-time updates in the underlying tables. Which approach best meets these requirements?

  • Purchase a BigQuery BI Engine reservation for the project and enable BI Engine acceleration on the dataset used by the dashboards.

  • Schedule daily exports of the fact tables to Cloud Storage and have the BI tool read the resulting CSV files directly to avoid live querying BigQuery.

  • Enable the BigQuery query cache and add the USE_CACHE=TRUE hint to every dashboard query generated by the BI tool.

  • Replicate the dataset into Cloud Bigtable and reconfigure the BI tool to connect through a Bigtable driver for faster point-lookups.

GCP Professional Data Engineer
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