When storing free form text data in Delta Lake, which statement is correct regarding query performance?

When storing free form text data in Delta Lake, it's important to recognize the characteristics of Delta Lake's architecture and how it interacts with different data types. The statement asserting that Delta Lake statistics are not optimized for free text fields is indeed accurate.

Delta Lake is designed to optimize performance for structured and semi-structured data types, benefiting greatly from features like data skipping, which utilizes stored statistics to reduce the amount of data scanned during queries. However, when it comes to free form text fields, Delta Lake does not generate specific statistics that efficiently support queries on text data. This can lead to reduced query performance when filtering or searching through large volumes of unstructured text, as the underlying mechanics of Delta Lake are not tailored for this type of data.

Though other options may seem plausible, they do not align with the operational capabilities of Delta Lake. For instance, stating that text data cannot be stored with Delta Lake is incorrect, as free form text can indeed be stored; it is the query performance on such data that presents challenges. The suggestion of running ZORDER ON for performance gains can be beneficial for certain types of columns (particularly those with distinct values that promote efficient data skipping), but it does not specifically address the complexities associated with free text fields. Lastly,