
Ultimate access to all questions.
Describe a real-world scenario where the proper partitioning of data in a Delta Lake table significantly improves query performance. Provide a detailed example of how you would design the partitioning strategy for this scenario, including any necessary Spark code to implement this design.
A
Partitioning does not improve query performance; it only affects data storage.
B
Proper partitioning can significantly improve query performance by allowing targeted operations on specific partitions.
C
Query performance is solely dependent on the data size, not the partitioning strategy.
D
Partitioning always leads to slower query performance due to increased I/O operations.