Welcome to the Hadoop Frameworks MCQs Page

Dive deep into the fascinating world of Hadoop Frameworks with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Hadoop Frameworks, a crucial aspect of Hadoop. In this section, you will encounter a diverse range of MCQs that cover various aspects of Hadoop Frameworks, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Hadoop.

Check out the MCQs below to embark on an enriching journey through Hadoop Frameworks. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Hadoop.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Hadoop Frameworks. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Hadoop Frameworks MCQs | Page 1 of 20

Explore more Topics under Hadoop

01

Basics of Hadoop

02

MapReduce Basics

03

Hadoop Distributed File System

04

Hadoop IO

05

MapReduce Development and Features

06

Introduction to Pig

07

Hive and HBase

08

ZooKeeper,Sqoop and Cassandra

09

Hadoop Incubators and Hadoop Development Tools

10

Hadoop Libraries and Utilities

Q1.

Spark was initially started by ____________ at UC Berkeley AMPLab in 2009.

Mahek Zaharia

Matei Zaharia

Doug Cutting

Stonebraker

Discuss

Answer: (b).Matei Zaharia

Q2.

____________ is a component on top of Spark Core.

Spark Streaming

Spark SQL

RDDs

All of the mentioned

Discuss

Answer: (b).Spark SQL

Q3.

Spark SQL provides a domain-specific language to manipulate ___________ in Scala, Java, or Python.

Spark Streaming

Spark SQL

RDDs

All of the mentioned

Discuss

Answer: (c).RDDs

Q4.

______________ leverages Spark Core fast scheduling capability to perform streaming analytics.

MLlib

Spark Streaming

GraphX

RDDs

Discuss

Answer: (b).Spark Streaming

Q5.

____________ is a distributed machine learning framework on top of Spark.

MLlib

Spark Streaming

GraphX

RDDs

Discuss

Answer: (a).MLlib

Q6.

________ is a distributed graph processing framework on top of Spark.

MLlib

Spark Streaming

GraphX

All of the mentioned

Discuss

Answer: (c).GraphX

Q7.

GraphX provides an API for expressing graph computation that can model the __________ abstraction.

GaAdt

Spark Core

Pregel

None of the mentioned

Discuss

Answer: (c).Pregel

Q8.

Spark architecture is ___________ times as fast as Hadoop disk-based Apache Mahout and even scales better than Vowpal Wabbit.

100

Discuss

Answer: (a).10

Q9.

Users can easily run Spark on top of Amazon’s __________

Infosphere

EC2

EMR

None of the mentioned

Discuss

Answer: (b).EC2

Q10.

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

Mesjs

Mesos

Mesus

All of the mentioned

Discuss

Answer: (b).Mesos

Page 1 of 20

Welcome to the Hadoop Frameworks MCQs Page

Hadoop Frameworks MCQs | Page 1 of 20

Explore more Topics under Hadoop

Basics of Hadoop

MapReduce Basics

Hadoop Distributed File System

Hadoop IO

MapReduce Development and Features

Introduction to Pig

Hive and HBase

ZooKeeper,Sqoop and Cassandra

Hadoop Incubators and Hadoop Development Tools

Hadoop Libraries and Utilities

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