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Which of the following code blocks reads all CSV files in directory filePath into a...

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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-c000.csv.gz

5.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-c000.csv.gz

7.part-00003-tid-2754546451699747124-10eb85bf-8d91-4dd0-b60b-2f3c02eeecaa-301-1-c000.csv.gz

spark.option("header",True).csv(filePath)

A.

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

B.

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

C.

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

D.

spark.read.load(filePath)

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