Your data analytics team uses BigQuery extensively. The CFO has noticed that BigQuery costs have tripled in the last two months. Upon investigation, you find that analysts are running SELECT * queries on massive, multi-terabyte tables. Which TWO actions should you take to optimize costs without stopping the analysts from doing their work? (Select TWO)

BigQuery on-demand pricing charges based on the amount of data scanned. `SELECT *` on a 10TB table scans 10TB. By partitioning the table (e.g., by day) and enabling the 'Require partition filter' option, analysts are forced to include a date range in their queries, reducing the scan to only a few gigabytes. Additionally, setting a 'maximum bytes billed' custom quota acts as a financial circuit breaker, stopping queries if an analyst exceeds their daily budget.