The question asks for sets of DataFrame methods that both return a new DataFrame containing only rows meeting a specified logical condition. Here's the analysis:

• filter() and where() are aliases in Spark and both filter rows based on a condition, making them correct.
• select() is used to choose columns, not filter rows, so any option with select() (B, D) is incorrect.
• drop() removes columns, not rows, so options including drop() (A, E) are also incorrect.

Thus, the only correct set is C (filter(), where()), as both methods perform row filtering.