Question

Which of the following code blocks reads all CSV files in directory filePath into a single DataFrame, with column names defined in the CSV file headers? Content of directory filePath: 1. _SUCCESS 2. _committed_2754546451699747124 3. _started_2754546451699747124 4. part-00000-tid-2754546451699747124-10eb85bf-8d91-4dd0-b60b-2f3c02eeecaa-298-1- part-00000-tid-2754546451699747124-10eb85bf-8d91-4dd0-b60b-2f3c02eeecaa-298-1- c000.csv.gz 5. part-00001-tid-2754546451699747124-10eb85bf-8d91-4dd0-b60b-2f3c02eeecaa-299-1- part-00001-tid-2754546451699747124-10eb85bf-8d91-4dd0-b60b-2f3c02eeecaa-299-1- c000.csv.gz 6. part-00002-tid-2754546451699747124-10eb85bf-8d91-4dd0-b60b-2f3c02eeecaa-300-1- part-00002-tid-2754546451699747124-10eb85bf-8d91-4dd0-b60b-2f3c02eeecaa-300-1- c000.csv.gz 7. part-00003-tid-2754546451699747124-10eb85bf-8d91-4dd0-b60b-2f3c02eeecaa-301-1- part-00003-tid-2754546451699747124-10eb85bf-8d91-4dd0-b60b-2f3c02eeecaa-301-1- c000.csv.gz spark.option("header",True).csv(filePath)

Answer options

Accepted Answer

spark.read.format("csv").option("header",True).load(filePath)

Answer

spark.read.format("csv").option("header",True).option("compression","zip").load(filePath)

Answer

spark.read().option("header",True).load(filePath)

Answer

spark.read.load(filePath)

Which of the following code blocks reads all CSV files in directory filePath into a single DataFrame, with column names defined in the CSV file…

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