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 11 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

Q101.

Hive, Pig, and Cascading all use a _________ data model.

value centric

columnar

tuple-centric

none of the mentioned

Discuss

Answer: (c).tuple-centric

Q102.

A __________ represents a distributed, immutable collection of elements of type T.

PCollect<T>

PCollection<T>

PCol<T>

All of the mentioned

Discuss

Answer: (b).PCollection<T>

Q103.

___________ executes the pipeline as a series of MapReduce jobs.

SparkPipeline

MRPipeline

MemPipeline

None of the mentioned

Discuss

Answer: (b).MRPipeline

Q104.

__________ represent the logical computations of your Crunch pipelines.

DoFns

DoFn

ThreeFns

None of the mentioned

Discuss

Answer: (a).DoFns

Q105.

PCollection, PTable, and PGroupedTable all support a __________ operation.

intersection

union

None of the mentioned

Discuss

Answer: (b).union

Q106.

Crunch uses Java serialization to serialize the contents of all of the ______ in a pipeline definition.

Transient

DoFns

Configuration

All of the mentioned

Discuss

Answer: (b).DoFns

Q107.

Inline DoFn that splits a line up into words is an inner class ____________

Pipeline

MyPipeline

ReadPipeline

WritePipe

Discuss

Answer: (b).MyPipeline

Q108.

DoFns provide direct access to the __________ object that is used within a given Map or Reduce task via the getContext method.

TaskInputContext

TaskInputOutputContext

TaskOutputContext

All of the mentioned

Discuss

Answer: (b).TaskInputOutputContext

Q109.

The top-level ___________ package contains three of the most important specializations in Crunch.

org.apache.scrunch

org.apache.crunch

org.apache.kcrunch

all of the mentioned

Discuss

Answer: (b).org.apache.crunch

Q110.

The Avros class also has a _____ method for creating PTypes for POJOs using Avro’s reflection-based serialization mechanism.

spot

reflects

gets

all of the mentioned

Discuss

Answer: (b).reflects

Page 11 of 20

Welcome to the Hadoop Frameworks MCQs Page

Hadoop Frameworks MCQs | Page 11 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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