Which steps are essential when writing chunked text into Delta Lake tables in Unity Catalog? (Choose two.)

Writing all chunks as a single file creates a massive, unpartitioned file that is slow to read and cannot leverage Delta Lake's parallel processing or partition pruning.

Partitioning by category distributes data into separate storage directories, allowing Delta Lake to skip irrelevant partitions during queries and dramatically reducing scan costs.

Avoiding partitions forces every query to scan the entire dataset, which is inefficient and costly at scale in a large Delta Lake table.

Structuring chunks with consistent schemas and meaningful metadata fields ensures that downstream queries can filter, join, and retrieve chunks efficiently without full table scans.