Spark is engineered from the bottom-up for performance, running ___________ faster than Hadoop by exploiting in memory computing and other optimizations.

Spark is engineered from the bottom-up for performance, running ___________ faster than Hadoop by exploiting in memory computing and other optimizations.
100x
Excellent ! Your Answer is Correct. Explanation: Spark is fast on disk too; it currently holds the world record in large scale on-disk sorting.
150x
200x
None of the Option is Correct

Point out the wrong statement.

Point out the wrong statement.
Spark is intended to replace, the Hadoop stack
Excellent ! Your Answer is Correct. Explanation: Spark is intended to enhance, not replace, the Hadoop stack.
Spark was designed to read and write data from and to HDFS, as well as other storage systems
Hadoop users who have already deployed or are planning to deploy Hadoop Yarn can simply run Spark on YARN
None of the Option is Correct
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