Exam Certified Machine Learning Associate topic 1 question 17 discussion

Actual exam question from Databricks's Certified Machine Learning Associate

Question #: 17
Topic #: 1

[All Certified Machine Learning Associate Questions]

A data scientist has written a data cleaning notebook that utilizes the pandas library, but their colleague has suggested that they refactor their notebook to scale with big data.
Which of the following approaches can the data scientist take to spend the least amount of time refactoring their notebook to scale with big data?

A. They can refactor their notebook to process the data in parallel.
B. They can refactor their notebook to use the PySpark DataFrame API.
C. They can refactor their notebook to use the Scala Dataset API.
D. They can refactor their notebook to use Spark SQL.
E. They can refactor their notebook to utilize the pandas API on Spark.

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Suggested Answer: E 🗳️

by oliver29 at Dec. 9, 2024, 8:56 p.m.

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oliver29

1 month, 4 weeks ago

Selected Answer: E

The pandas API on Spark (pyspark.pandas) is the most efficient path for minimal disruption, scalability, and productivity for a data scientist familiar with pandas.

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Exam Certified Machine Learning Associate topic 1 question 17 discussion

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oliver29

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