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Active recall study cards for the Databricks Certified Machine Learning Professional exam. Flip each card to reveal the answer, filter by domain, or shuffle for spaced repetition.

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model-development

What is the mandatory final feature-preparation stage in every SparkML Pipeline?

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Answer

VectorAssembler. SparkML models require all feature columns combined into a single Vector column immediately before the algorithm stage. Without VectorAssembler, the model stage receives individual columns and throws a schema error. It is the last feature-engineering step before the estimator — scalers or other transformers may precede it.

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