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GCP Professional Data Engineer Practice Question

Your enterprise analytics team runs Tableau Server in an on-premises data center protected by a strict outbound firewall that only allows HTTPS (TCP 443). To avoid the daily export of Google BigQuery tables to CSV and keep dashboards closer to real time, you need to let Tableau query BigQuery directly with minimal re-engineering of existing workbooks. Which approach best satisfies these requirements?

  • Set up Cloud VPN to peer with Google Cloud, mirror each BigQuery table into a Cloud SQL for PostgreSQL instance using federation, and point Tableau to the replica with a PostgreSQL driver.

  • Install the Simba BigQuery JDBC or ODBC driver on Tableau Server and configure a service-account-based connection that queries BigQuery over HTTPS (port 443).

  • Continue exporting BigQuery data to Cloud Storage, but schedule exports every hour and use Tableau's flat-file connector to read the parquet files.

  • Stream BigQuery data into Cloud Bigtable via Dataflow and connect Tableau through a custom JDBC driver that issues HBase API calls.

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