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Exam Certified Machine Learning Associate All Questions

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Exam Certified Machine Learning Associate topic 1 question 28 discussion

Actual exam question from Databricks's Certified Machine Learning Associate
Question #: 28
Topic #: 1
[All Certified Machine Learning Associate Questions]

Which of the following statements describes a Spark ML estimator?

  • A. An estimator is a hyperparameter grid that can be used to train a model
  • B. An estimator chains multiple algorithms together to specify an ML workflow
  • C. An estimator is a trained ML model which turns a DataFrame with features into a DataFrame with predictions
  • D. An estimator is an algorithm which can be fit on a DataFrame to produce a Transformer
  • E. An estimator is an evaluation tool to assess to the quality of a model
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Suggested Answer: D 🗳️
by [deleted] at May 31, 2024, 9:53 p.m.

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8605246
5 months, 1 week ago
The correct statement is D. An estimator is an algorithm which can be fit on a DataFrame to produce a Transformer In Spark MLlib, an estimator is a machine learning algorithm or pipeline stage that is used to fit a model to data. When you call the fit method on an estimator with a DataFrame, it produces a transformer. The transformer can then be used to transform a DataFrame, typically by adding predictions or other derived values.
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