One of the core contributions of Spark is the proposal of the Resilient Distributed Datasets (RDDs).

What are the core features in RDDs that provide Spark with fault-tolerance when executing jobs and workers fail?

(select all the correct options).

Question

One of the core contributions of Spark is the proposal of the Resilient Distributed Datasets (RDDs).  
  
 What are the core features in RDDs that provide Spark with fault-tolerance when executing jobs and workers fail? 
  
 (select all the correct options).

Answer

RDDs keep information about data dependencies.

Answer

RDDs keep information about transformations and operations.

Answer

RDDs keep data as a partitioned collection of records.

Answer

RDDs keep data cached in memory for faster access.

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One of the core contributions of Spark is the proposal of the Resilient Distribu...

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