Q61
Single choice
A developer needs to write the output of a complex chain of Spark transformations to a Parquet table called events.live_latest. The consumers of this Parquet table primarily access this table with a Spark SQL query with a WHERE clause that filters by both the year and month of the event_ts column. The event_ts column is of TIMESTAMP type.
The following code is initially deployed but the downstream consumers have complained about poor read performance.
Which change will enable efficient querying by the downstream consumers of the table on both the year and the month in the event_ts column?