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You are working with Google BigQuery, managing a multi-region dataset that includes a table recording daily sales volumes. This sales table is updated several times throughout each day. To ensure you can recover your sales data in the event of regional failures while maintaining a recovery point objective (RPO) of under 24 hours and keeping costs as low as possible, what steps should you take to protect your table?
You are working with Google BigQuery, managing a multi-region dataset that includes a table recording daily sales volumes. This sales table is updated several times throughout each day. To ensure you can recover your sales data in the event of regional failures while maintaining a recovery point objective (RPO) of under 24 hours and keeping costs as low as possible, what steps should you take to protect your table?
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