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Answer: storesDF.sample(fraction = 0.15)
The question asks for a 15% sample without replacement. In PySpark, `DataFrame.sample()` defaults to `withReplacement=False` if not specified. Option B correctly sets `fraction=0.15` and omits `withReplacement`, thus using the default. Option A uses `True` (with replacement), which is incorrect. Option C uses `sampleBy`, which requires a `col` and a fractions dict. Option D's fraction is 0.10 (10%). Option E is missing the `fraction` parameter, causing an error. Therefore, only B is correct.
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Which of the following code blocks returns a 15% sample of rows from the DataFrame storesDF without replacement?
A
storesDF.sample(True, fraction = 0.15)
B
storesDF.sample(fraction = 0.15)
C
storesDF.sampleBy(fraction = 0.15)
D
storesDF.sample(fraction = 0.10)
E
storesDF.sample()