Answer / Shashank Agarwal

In Apache Spark, there are multiple ways to create an RDD. The primary methods include: text file (using TextFile), sequence (using ParallelCollection), parallelizing collections from Scala or Java, and programmatically creating RDDs using transformations.

What are the transformations in spark?

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What is an "RDD Lineage"?

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What is spark yarn executor memoryoverhead?

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State the difference between persist() and cache() functions.

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What is the default spark executor memory?

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What is the use of spark sql?

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What is the difference between spark and apache spark?

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What is tungsten engine in spark?

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What does map transformation do? Provide an example.

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Why is transformation lazy operation in Apache Spark RDD? How is it useful?

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How do we create rdds in spark?

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What do you know about transformations in spark?

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