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Exam Certified Machine Learning Associate All Questions

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Exam Certified Machine Learning Associate topic 1 question 16 discussion

Actual exam question from Databricks's Certified Machine Learning Associate
Question #: 16
Topic #: 1
[All Certified Machine Learning Associate Questions]

Which of the following describes the relationship between native Spark DataFrames and pandas API on Spark DataFrames?

  • A. pandas API on Spark DataFrames are single-node versions of Spark DataFrames with additional metadata
  • B. pandas API on Spark DataFrames are more performant than Spark DataFrames
  • C. pandas API on Spark DataFrames are made up of Spark DataFrames and additional metadata
  • D. pandas API on Spark DataFrames are less mutable versions of Spark DataFrames
  • E. pandas API on Spark DataFrames are unrelated to Spark DataFrames
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Suggested Answer: C 🗳️
by Deuterium44 at Nov. 7, 2024, 10:25 a.m.

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smonov
1 week, 3 days ago
Why not A?
upvoted 1 times
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Deuterium44
2 weeks, 3 days ago
Selected Answer: C
C: The pandas API on Spark (pandas-on-Spark) provides a pandas-like interface for distributed data processing in Apache Spark. Internally, a pandas API on Spark DataFrame is built on top of a Spark DataFrame with additional metadata that allows it to mimic the pandas DataFrame interface. This design enables users to use familiar pandas syntax while leveraging Spark’s distributed computing capabilities
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