Answer / Apurav Garg

Apache Spark achieves fault tolerance by storing multiple copies of the same data across different nodes in a cluster. When a task fails, it can be re-executed on another node that has a copy of the data. Additionally, Spark maintains lineage information, allowing it to recalculate dependencies if needed.

What are the languages supported by apache spark?

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Which language is best for spark?

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What is Spark SQL?

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What is the difference between DSM and RDD?

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Is spark a special attack?

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Explain key features of Spark

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Why we need compression and what are the different compression format supported?

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Is there any API available for implementing graphs in Spark?

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What is stage and task in spark?

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What are the advantages of datasets in spark?

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What is spark machine learning?

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What do you mean by Persistence?

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