You are working with a Delta table that contains log data from a web application. The table includes columns like log_level, timestamp, user_id, and message. Explain how you would optimize this table for the Databricks SQL service, focusing on strategies to reduce query latency and improve data ingestion rates.

Simulated

Run OPTIMIZE command with z-ordering on timestamp, set auto-compaction to true, and use VACUUM with a retention interval of 1 day.

55.5%

Run OPTIMIZE command with z-ordering on user_id, disable auto-compaction, and use VACUUM with a retention interval of 7 days._

23.4%

Run OPTIMIZE command with z-ordering on log_level, set auto-compaction to true, and use VACUUM with a retention interval of 30 days._

14.2%

Run OPTIMIZE command with z-ordering on message, disable auto-compaction, and do not use VACUUM.

6.9%

Databricks Certified Data Engineer - Professional