Scala For Big Data Set 4

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Free Online Best Scala For Big Data MCQ Questions for improve your basic knowledge of Scala For Big Data. This Scala For Big Data set 4 test that contains 25 Multiple Choice Questions with 4 options. You have to select the right answer to a question.

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Question 1

What is a Monad in Scala?

A	A Monad is an object that wraps another object
B	Monadis a collection of key value pairs wherein the value in a map can be retrieved using the key
C	Monad in Scala is an object that has a method called unapply as one of its members
D	All of the above

Question 2

Summingbird is _____

A	a framework for integrating batch and online MapReduce computations
B	a distributed streaming platform for handling real-time data feeds
C	a framework for writing, testing, and running MapReduce pipelines
D	a distributed stream-processing framework

Question 3

Apache Kafka is

A	a framework for integrating batch and online MapReduce computations
B	a distributed streaming platform for handling real-time data feeds
C	a framework for writing, testing, and running MapReduce pipelines
D	a distributed stream-processing framework

Question 4

Creating a hive environment in scala eclipse____

A	Adding hive maven dependency to the pom file of the eclipse
B	Adding spark-session with enableHiveSupport to the session builder
C	Command for creating database
D	All of the Above

Question 5

Which of the following is a distributed graph processing framework on top of Spark?

A	Spark Streaming
B	MLlib
C	GraphX
D	All of the above

Question 6

In a which cluster manager to do support of Spark?

A	MESOS
B	YARN
C	Standalone Cluster manager
D	All of the above

Question 7

Which of the following is leverage of Spark core fast scheduling capability to perform streaming analytics?

A	Spark Streaming
B	MLlib
C	GraphX
D	RDDs

Question 8

External table is ___

A	the default table in Hive
B	stored outside the warehouse directory
C	Command for creating database
D	Loading data into tables

Question 9

Which of the following is the reason for Spark being faster than MapReduce while execution time?

A	It supports different programming languages like Scala, Python, R, and Java.
B	RDDs
C	DAG execution engine and in-memory computation (RAM based)
D	All of the above

Question 10

Which of the following is a basic abstraction of Spark Streaming?

A	Shared variable
B	RDD
C	Dstream
D	All of the above

Question 11

Managed Tables is ____

A	stored outside the warehouse directory
B	the default table in Hive
C	Command for creating database
D	Loading data into tables

Question 12

Scala also has additional libraries for Big Data analytics and Machine Learning including__________

A	Spark Streaming
B	Spark SQL, Spark MLlib
C	Spark GraphX
D	All of the above

Question 13

Apache Samza is _____

A	a distributed stream-processing framework
B	a distributed streaming platform for handling real-time data feeds
C	a framework for writing, testing, and running MapReduce pipelines
D	a framework for integrating batch and online MapReduce computations

Question 14

Point out the incorrect statement in the context of Cassandra___

A	Cassandra is a centralized key -value store
B	Cassandra is originally designed at Facebook
C	Cassandra is designed to handle a large amount of data across many commodity servers, providing high availability with no single point if failure.
D	Cassandra uses a right based DHT*Distribution Hash Table) but without finger tables or routing

Question 15

Based on which functional programming language construct for Spark optimizer?

A	Python
B	R
C	Java
D	Scala

Question 16

Hive supports _____ kinds of tables

A	2
B	3
C	4
D	5

Question 17

Which of the following are the simplest NoSQL databases in BigData environment?

A	Document
B	Key-Value Pair
C	Wide – Column
D	All of the Above

Question 18

Apache Flink is ________

A	a framework for distributed stream and batch data processing
B	a distributed streaming platform for handling real-time data feeds
C	a framework for writing, testing, and running MapReduce pipelines
D	a distributed stream-processing framework

Question 19

Which of the following Machine Learning API for Spark based ?

A	RDD
B	Dataset
C	DataFrame
D	All of the above

Question 20

Scrunch is _____

A	a framework for writing, testing, and running MapReduce pipelines
B	a distributed streaming platform for handling real-time data feeds
C	a distributed stream-processing framework
D	a framework for integrating batch and online MapReduce computations

Question 21

The purpose of_____ is to match the value and take it apart.

A	unapply method
B	unhappy method
C	apply method
D	happy method

Question 22

Explain Extractors in Scala?

A	An Extractor is an object that wraps another object
B	An Extractor in Scala is an object that has a method called unapply as one of its members
C	An Extractor is a collection of key value pairs wherein the value in a map can be retrieved using the key
D	All of the above

Question 23

What is a Scala Map?

A	Scala Map is a collection of key value pairs wherein the value in a map can be retrieved using the key
B	A Scala Map is an object that wraps another object
C	both a and b
D	None of the Above

Question 24

Akka is ______

A	a concurrent framework for building distributed applications
B	a distributed streaming platform for handling real-time data feeds
C	a framework for writing, testing, and running MapReduce pipelines
D	a distributed stream-processing framework

Question 25

Which of the following is not a NoSQL database?

A	Cassandra
B	MongoDB
C	SQL Server
D	HBase

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