What will happen if you apply both KEEP and JOIN operations between two tables?

When both KEEP and JOIN operations are applied to two tables, the result can lead to a reduction in the row count of the independent tables involved. The KEEP operation retains only the rows in one table that have matching keys in the other table, while the JOIN operation combines rows from both tables where there are matching keys.

In this context, when you execute both operations, the JOIN will create a new table that contains only the rows where there is a match on the key fields. Subsequently, the KEEP operation will discard any rows that do not have matches in the other table, effectively reducing the total number of rows that are present in the original independent tables.

This interplay implies that the final outcome will consist of only those rows that have corresponding matches based on the criteria set by the JOIN operation while also considering the filtering effect of the KEEP operation.

The combination of these two operations can thus lead to a more concise dataset, focusing solely on the intersecting elements defined by the matching keys. This makes it an effective strategy for refining data in scenarios where only relevant, related information is needed.