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When working with two different DataFrames in Pandas API on Spark, you encounter an error related to expensive operations. Which configuration option can you enable to permit operations between these DataFrames?
A
display.max_rows - Controls the number of rows displayed in output, not operations between DataFrames.
display.max_rows
B
compute.default_index_type - Determines the default index type for DataFrames, unrelated to operations between them.
compute.default_index_type
C
compute.ops_on_diff_frames - Allows operations between different DataFrames when enabled.
compute.ops_on_diff_frames
D
compute.shortcut_limit - Sets a row limit for certain computations, not for DataFrame operations.
compute.shortcut_limit
