Exam Databricks-Machine-Learning-Associate Topic 1 Question 72 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Associate exam
Question #: 72
Topic #: 1
Which statement describes a Spark ML transformer?

Suggested Answer: A Vote an answer

In Spark ML, a transformer is an algorithm that can transform one DataFrame into another DataFrame. It takes a DataFrame as input and produces a new DataFrame as output. This transformation can involve adding new columns, modifying existing ones, or applying feature transformations. Examples of transformers in Spark MLlib include feature transformers like StringIndexer, VectorAssembler, and StandardScaler.
Reference:
Databricks documentation on transformers: Transformers in Spark ML

by Maurice at Dec 31, 2025, 08:32 AM

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