Which of the following code blocks writes DataFrame storesDF to file path filePath as CSV?

Question

Options

• AstoresDF.write().csv(filePath)
• BstoresDF.write(filePath)
• CstoresDF.write.csv(filePath)
• DstoresDF.write.option("csv").path(filePath)
• EstoresDF.write.path(filePath)

• C
  87% (20)
• D
  4% (1)
• E
  9% (2)

Explanation

C is correct because in PySpark, write is a property (not a method), returning a DataFrameWriter object, and .csv(filePath) is the correct format-specific method to both specify the format and trigger the write.

Why the distractors fail:

• A - write() with parentheses is invalid; write is a property, not a callable method, so this raises an AttributeError.
• B - write(filePath) has the same parentheses problem and also skips specifying the format entirely.
• D - There is no .option("csv") shorthand for format selection; .option() is used for key-value settings like header or delimiter, not format specification.
• E - .path() is not a method on DataFrameWriter; the format method (.csv(), .json(), .parquet()) takes the path as its argument.

Memory tip: Think of it as a two-part chain - property then format+path: df.write → .csv(path). If you see parentheses after write, it's wrong; if you see the format and path separated into different calls, it's wrong.

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