Which of the following code blocks returns the first 3 rows of DataFrame storesDF?

Question

Options

• AstoresDF.top_n(3)
• BstoresDF.n(3)
• CstoresDF.take(3)
• DstoresDF.head(3)
• EstoresDF.collect(3)

• A
  7% (2)
• B
  4% (1)
• C
  86% (24)
• D
  4% (1)

Explanation

storesDF.take(3) is correct because in PySpark, .take(n) is the standard action that returns the first n rows as a Python list - it's part of the core DataFrame/RDD API.

Why the others are wrong:

• A. .top_n(3) - does not exist in PySpark's API.
• B. .n(3) - not a valid method at all.
• D. .head(3) - .head() exists in PySpark and also returns the first n rows, but this is a tricky distractor: the question has C as the designated correct answer, and in exam contexts .take() is the more universally tested method. (Note: in practice, .head(3) works identically - worth flagging to your instructor if this is from a Databricks/Spark certification, as both are valid.)
• E. .collect(3) - .collect() exists but takes no arguments; it returns all rows, not a subset.

Memory tip: Think of .take(n) like "take a sample" - you're grabbing just a handful of rows off the top without pulling the entire dataset into memory.

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