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Exam Certified Associate Developer for Apache Spark All Questions

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Exam Certified Associate Developer for Apache Spark topic 1 question 188 discussion

Which of the following statements about Spark DataFrames is incorrect?

  • A. Spark DataFrames are the same as a data frame in Python or R.
  • B. Spark DataFrames are built on top of RDDs.
  • C. Spark DataFrames are immutable.
  • D. Spark DataFrames are distributed.
  • E. Spark DataFrames have common Structured APIs.
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Suggested Answer: E 🗳️

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Oks_An
2 months ago
Selected Answer: A
A. Spark DataFrames are the same as a data frame in Python or R.: This statement is incorrect because Spark DataFrames, while conceptually similar to data frames in Python (e.g., pandas) or R, are not the same. Spark DataFrames are distributed, immutable, and built on top of RDDs, designed to handle large-scale data processing across a cluster. In contrast, data frames in Python (pandas) or R are typically in-memory, single-node constructs.
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