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Question 14 of 88

In SparkML, what is the primary difference between a Transformer and an Estimator?

AA Transformer trains on data and produces a model; an Estimator applies a transformation to a DataFrame.
BAn Estimator trains on data by implementing fit() and produces a Transformer; a Transformer applies a transformation by implementing transform().
CA Transformer and an Estimator are interchangeable terms for the same object in SparkML.
DAn Estimator is a pipeline stage that outputs predictions; a Transformer outputs feature vectors.

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