Apache Spark, Flume, Lucene, Hama, HCatalog, Mahout, Drill, Crunch and Thrift

This set of MCQs helps students to learn about various important things such as Apache Spark, Flume, Lucene, Hama, HCatalog, Mahout, Drill, Crunch and Thrift in Hadoop.

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

Mesjs Mesos Mesus All of the mentioned

Which of the following can be used to launch Spark jobs inside MapReduce?

SIM SIMR SIR RIS

Which of the following language is not supported by Spark?

Java Pascal Scala Python

Spark is packaged with higher level libraries, including support for _________ queries.

SQL C C++ None of the mentioned

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

100x 150x 200x None of the mentioned

Spark includes a collection over ________ operators for transforming data and familiar data frame APIs for manipulating semi-structured data.

50 60 70 80

All file access uses Java’s __________ APIs which give Lucene stronger index safety.

NIO.2 NIO.3 NIO.4 NIO.5

New ____________ type enables Indexing and searching of date ranges, particularly multi-valued ones.

RangeField DateField DateRangeField All of the mentioned

SolrJ now has first class support for __________ API.

Compactions Collections Distribution All of the mentioned

____________ Collection API allows for even distribution of custom replica properties.

BALANUNIQUE BALANCESHARDUNIQUE BALANCEUNIQUE None of the mentioned

Heap usage during IndexWriter merging is also much lower with the new _________