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You are tasked with designing a fault-tolerant architecture for storing data in a regional BigQuery dataset in Google Cloud. The goal is to ensure that your application can recover from any data corruption events that occur within a seven-day window. Your priority is to use managed services that offer the lowest Recovery Point Objective (RPO) while also being cost-effective. What steps should you take to achieve this?
A
Access historical data by using time travel in BigQuery.
B
Export the data from BigQuery into a new table that excludes the corrupted data.
C
Create a BigQuery table snapshot on a daily basis.
D
Migrate your data to multi-region BigQuery buckets.