A media-analytics company stores all BigQuery datasets in the us-central1 regional location. A new internal SLA says that reporting queries must keep working with no data loss if one of the zones in that region goes offline. Management will accept a short outage if the entire region fails and does not want to pay for extra pipelines or a second copy of the data. What should you change to meet the SLA?
Nightly export the datasets to a dual-region Cloud Storage bucket and re-import them into BigQuery during an outage.
Keep the datasets in the current regional location and make no additional changes; BigQuery already provides automatic, zero-RPO replication across zones inside the region.
Move all datasets to the multi-regional US location so that data is replicated across multiple regions instead of zones.
Set up a BigQuery Data Transfer Service job to copy each table from us-central1 to us-east1 every 15 minutes.
BigQuery regional locations already replicate table data synchronously to at least two separate zones inside the same region and automatically reroute queries to healthy replicas if a zone is unavailable. This provides a Recovery Point Objective of zero and near-instant failover (very low RTO) for single-zone outages without any additional storage, pipelines, or operational overhead. Moving to a multi-region location or creating cross-region copies would exceed the stated requirements and add cost or complexity, while periodic exports or scheduled transfers would introduce an RPO greater than zero and require extra maintenance. Therefore, no architectural change is required.
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GCP Professional Data Engineer
Designing data processing systems
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