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Apache Spark Interview Questions and Answers

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Question: What is the difference between a DataFrame and an RDD in Spark?

Answer: A DataFrame is a distributed collection of data organized into named columns, similar to a relational table. An RDD (Resilient Distributed Dataset) is a low-level abstraction representing a distributed collection of objects.

Example:

val df = spark.read.json("/path/to/data.json")

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