Databricks Exam Databricks-Machine-Learning-Associate Topic 3 Question 10 Discussion

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

Question #: 10
Topic #: 3

[All Databricks-Machine-Learning-Associate Questions]

A data scientist wants to efficiently tune the hyperparameters of a scikit-learn model in parallel. They elect to use the Hyperopt library to facilitate this process.

Which of the following Hyperopt tools provides the ability to optimize hyperparameters in parallel?

Afmin

BSparkTrials

Cquniform

Dsearch_space

Eobjective_function

Show Suggested Answer

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 Titus at Jul 07, 2024, 04:01 AM

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18 days ago

I think the answer is B) SparkTrials because it allows optimization in parallel.

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