Delta Lake automatically collects statistics on the first 32 columns of each table. These statistics help optimize query performance through data skipping , which allows Databricks to scan only relevant parts of a table.
This feature significantly improves query efficiency, especially when dealing with large datasets.
Why Other Options Are Incorrect:
Option A: Views do not cache the most recent versions of the source table; they are recomputed when queried.
Option C: Z-ORDER can be applied to any data type, including strings, to optimize read performance.
Option D: Delta Lake does not enforce primary or foreign key constraints.
[Reference: Delta Lake Optimization, , , ]
Contribute your Thoughts:
Chosen Answer:
This is a voting comment (?). You can switch to a simple comment. It is better to Upvote an existing comment if you don't have anything to add.
Submit