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Which of the following code blocks returns a single-column DataFrame showing the number of words in column supplier of DataFrame itemsDf? Sample of DataFrame itemsDf: 1.+------+-----------------------------+-------------------+ 2.|itemId|attributes |supplier | 3.+------+-----------------------------+-------------------+ 4.|1 |[blue, winter, cozy] |Sports Company Inc.| 5.|2 |[red, summer, fresh, cooling]|YetiX | 6.|3 |[green, summer, travel] |Sports Company Inc.| 7.+------+-----------------------------+-------------------+
Correct Answer: E
Explanation Output of correct code block: +----------------------------+ |size(split(supplier, , -1))| +----------------------------+ | 3| | 1| | 3| +----------------------------+ This question shows a typical use case for the split command: Splitting a string into words. An additional difficulty is that you are asked to count the words. Although it is tempting to use the count method here, the size method (as in: size of an array) is actually the correct one to use. Familiarize yourself with the split and the size methods using the linked documentation below. More info: Split method: pyspark.sql.functions.split - PySpark 3.1.2 documentation Size method: pyspark.sql.functions.size - PySpark 3.1.2 documentation Static notebook | Dynamic notebook: See test 2