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The code block shown below should convert up to 5 rows in DataFrame transactionsDf that have the value 25 in column storeId into a Python list. Choose the answer that correctly fills the blanks in the code block to accomplish this. Code block: transactionsDf.__1__(__2__).__3__(__4__)
Correct Answer: D
Explanation The correct code block is: transactionsDf.filter(col("storeId")==25).take(5) Any of the options with collect will not work because collect does not take any arguments, and in both cases the argument 5 is given. The option with toLocalIterator will not work because the only argument to toLocalIterator is prefetchPartitions which is a boolean, so passing 5 here does not make sense. The option using head will not work because the expression passed to select is not proper syntax. It would work if the expression would be col("storeId")==25. Static notebook | Dynamic notebook: See test 1 (https://flrs.github.io/spark_practice_tests_code/#1/24.html , https://bit.ly/sparkpracticeexams_import_instructions)