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When you need to run a query on a large dataset stored in BigQuery and anticipate that the query will return a significant amount of data, what is the best method to estimate the cost of the query?
A
Using the command line, apply the --dry_run option in BigQuery to find out the number of bytes read, then utilize the price calculator to estimate the cost.
--dry_run
B
Using the command line, apply the --dry_run option in BigQuery to find out the number of bytes returned, then utilize the price calculator to estimate the cost.
C
Using the command line, apply the --dry_run option in BigQuery to find out the time taken, then utilize the price calculator to estimate the cost.
D
Using the command line, apply the --dry_run option in BigQuery to find out the total amount of table data in bytes, assuming a full scan, then utilize the price calculator to estimate the cost.
