Question 134 of 307
Single answerYou have a query that filters a BigQuery table using a WHERE clause on timestamp and ID columns. By using bq query `"-dry_run you learn that the query triggers a full scan of the table, even though the filter on timestamp and ID select a tiny fraction of the overall data. You want to reduce the amount of data scanned by BigQuery with minimal changes to existing SQL queries. What should you do?
ACreate a separate table for each ID.
BUse the LIMIT keyword to reduce the number of rows returned.
✓CRecreate the table with a partitioning column and clustering column.
DUse the bq query --maximum_bytes_billed flag to restrict the number of bytes billed.
✓
Correct Answer: C
Recreate the table with a partitioning column and clustering column.
▥
Explanation
The correct answer is highlighted above. Review the wording carefully, then use the next question to continue building your understanding of Google certification topics.