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Databricks Certified Data Engineer Professional · Databricks
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- * 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