Your team wants to create a monthly report to analyze inventory data that is updated daily. You need to aggregate the inventory counts by using only the most re...

Your team wants to create a monthly report to analyze inventory data that is updated daily. You need to aggregate the inventory counts by using only the most recent month of data, and save the results to be used in a Looker Studio dashboard. What should you do?

A. Create a materialized view in BigQuery that uses the SUM( ) function and the DATE_SUB( ) function. B. Create a saved query in the BigQuery console that uses the SUM( ) function and the DATE_SUB( ) function. Re-run the saved query every month, and save the results to a BigQuery table. C. Create a BigQuery table that uses the SUM( ) function and the _PARTITIONDATE filter. D. Create a BigQuery table that uses the SUM( ) function and the DATE_DIFF( ) function.