Answer / Anuj Kumar Verma

"There are several ways to create an RDD in Apache Spark. Here are some examples:-n1. Creating an RDD from a local collection using `sparkContext.parallelize()` or `sparkContext.parallelizePaired()`n2. Reading data from external files using `textFile()`, `wholeTextFiles()`, or `sequenceFile()`n3. Caching and reusing RDDs with the `cache()` methodn4. Transforming existing RDDs using various Spark transformations like `map()`, `filter()`, `flatMap()`, and `groupByKey()`"n

Does Apache Spark provide checkpoints?

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List down the languages supported by Apache Spark?

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What is difference between scala and spark?

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What is the advantage of a Parquet file?

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What purpose would an engineer use spark?

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What is the difference between DSM and RDD?

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How is Apache Spark better than Hadoop?

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Define Spark Streaming.

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Does spark need hadoop?

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Explain various cluster manager in Apache Spark?

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Is spark written in java?

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Is it necessary to learn hadoop for spark?

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