Tag: Hadoop Spark

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

administrator
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

Spark runs on top of ___________ a cluster manager system which provides efficient resource isolation across distributed applications.

administrator
Spark runs on top of ___________ a cluster manager system which provides efficient resource isolation across distributed applications.
Mesos
Excellent ! Your Answer is Correct. Explanation: Mesos enables fine grained sharing which allows a Spark job to dynamically take advantage of the idle resources in the cluster during its execution.
Mesjs
Mesus
All Options are Correct

Point out the correct statement.

administrator
Point out the correct statement.
Spark enables Apache Hive users to run their unmodified queries much faster
Excellent ! Your Answer is Correct. Explanation: Shark can accelerate Hive queries by as much as 100x when the input data fits into memory, and up 10x when the input data is stored on disk.
Spark interoperates only with Hadoop
Spark is a popular data warehouse solution running on top of Hadoop
None of the Option is Correct
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