GCP Professional Data Engineer Practice Question

A global retailer is migrating its on-premises data warehouse to BigQuery. For the first year the analytics team expects highly variable, mostly ad-hoc workloads and has chosen BigQuery's on-demand pricing model. The business goal is to keep per-query costs as low as possible without limiting analysts' ability to explore data. Which approach best meets these requirements?

  • Store large fact tables as date-partitioned and appropriately clustered tables, and require analysts to include predicates on those partition and cluster fields in their queries.

  • Purchase a one-year Enterprise Edition slot commitment sized for anticipated peak demand to avoid on-demand charges.

  • Disable the BigQuery query cache so that each analyst query is executed against current data.

  • Regularly export data to Cloud SQL and use federated queries from BigQuery to reduce the bytes scanned within BigQuery.

GCP Professional Data Engineer
Maintaining and automating data workloads
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