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In the context of training a machine learning model using Spark ML, explain the difference between an Estimator and a Transformer. Provide examples of each and discuss how they interact within a Spark ML pipeline. Additionally, describe a scenario where the correct use of Estimators and Transformers is crucial for the success of the model.
A
Estimators are used for data transformation, while Transformers are used for model fitting.
B
Estimators and Transformers are interchangeable terms in Spark ML.
C
Estimators fit models on data, while Transformers apply the fitted models to transform data.
D
Both Estimators and Transformers are used only for data visualization.