Databricks Exam Databricks-Machine-Learning-Associate Topic 4 Question 1 Discussion

Actual exam question for Databricks's Databricks-Machine-Learning-Associate exam

Question #: 1
Topic #: 4

[All Databricks-Machine-Learning-Associate Questions]

Which statement describes a Spark ML transformer?

AA transformer is an algorithm which can transform one DataFrame into another DataFrame

BA transformer is a hyperparameter grid that can be used to train a model

CA transformer chains multiple algorithms together to transform an ML workflow

DA transformer is a learning algorithm that can use a DataFrame to train a model

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Suggested Answer: A

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.

Databricks documentation on transformers: Transformers in Spark ML

by Kiley at May 17, 2024, 09:11 AM

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