Realtime Processing with Apache Spark MCQ question and answer with solution | Hadoop MCQs

A. OutputJobInfo.describe

B. OutputJobInfo.create

C. OutputJobInfo.put

D. None of the mentioned

A. Spark Streaming

B. Spark SQL

C. RDDs

D. All of the mentioned

A. LucCodec

B. Lucene50Codec

C. Lucene20Cod

D. All of the mentioned

A. semi-structured

B. structured

C. unstructured

D. none of the mentioned

A. In local mode, nothing must be launched via the start scripts

B. Distributed Mode is just like the "Pseudo Distributed Mode"

C. Apache Hama is one of the under-hyped projects in the Hadoop ecosystem

D. All of the mentioned

A. HRecords

B. HCatRecos

C. HCatRecords

D. None of the mentioned

A. There is no guaranteed read consistency when a partition is dropped

B. Unpartitioned tables effectively have one default partition that must be created at table creation time

C. Once a partition is created, records cannot be added to it, removed from it, or updated in it

D. All of the mentioned

A. Thrift is developed for scalable cross-language services development

B. Thrift includes a complete stack for creating clients and servers

C. The top part of the Thrift stack is generated code from the Thrift definition

D. All of the mentioned

A. two

B. three

C. four

D. five

A. To create a Mahout service, one has to write Thrift files that describe it, generate the code in the destination language

B. Thrift is written in Java

C. Thrift is a lean and clean library

D. None of the mentioned