Which of the following operations returns a GroupedData object?

Question

Options

• ADataFrame.GroupBy()
• BDataFrame.cubed()
• CDataFrame.group()
• DDataFrame.groupBy()
• EDataFrame.grouping_id()

• A
  2% (1)
• B
  2% (1)
• C
  7% (4)
• D
  87% (47)
• E
  2% (1)

Explanation

DataFrame.groupBy() (also spelled groupby()) is the correct PySpark method that groups the DataFrame by one or more columns and returns a GroupedData object, on which aggregation functions like .agg(), .count(), .sum(), etc., can be called. The other options are invalid: GroupBy() (A) uses incorrect capitalization; cubed() (B) does not exist; group() (C) does not exist; and grouping_id() (E) is a window/grouping function used inside aggregation expressions, not a DataFrame method that returns a GroupedData object.

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