Welcome to the Introduction to Pig MCQs Page

Dive deep into the fascinating world of Introduction to Pig with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Introduction to Pig, a crucial aspect of Hadoop. In this section, you will encounter a diverse range of MCQs that cover various aspects of Introduction to Pig, 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 Introduction to Pig. 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 Introduction to Pig. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Introduction to Pig MCQs | Page 5 of 6

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

Hive and HBase

07

ZooKeeper,Sqoop and Cassandra

08

Hadoop Incubators and Hadoop Development Tools

09

Hadoop Frameworks

10

Hadoop Libraries and Utilities

Q41.

Point out the correct statement.

You can run Pig in either mode using the “pig” command

You can run Pig in batch mode using the Grunt shell

You can run Pig in interactive mode using the FS shell

None of the mentioned

Discuss

Answer: (a).You can run Pig in either mode using the “pig” command

Q42.

Point out the wrong statement.

To run Pig in local mode, you need access to a single machine

The DISPLAY operator will display the results to your terminal screen

To run Pig in mapreduce mode, you need access to a Hadoop cluster and HDFS installation

All of the mentioned

Discuss

Answer: (b).The DISPLAY operator will display the results to your terminal screen

Q43.

Point out the correct statement.

During the testing phase of your implementation, you can use LOAD to display results to your terminal screen

You can view outer relations as well as relations defined in a nested FOREACH statement

Hadoop properties are interpreted by Pig

None of the mentioned

Discuss

Answer: (b).You can view outer relations as well as relations defined in a nested FOREACH statement

Q44.

Point out the wrong statement.

ILLUSTRATE operator is used to review how data is transformed through a sequence of Pig Latin statements

ILLUSTRATE is based on an example generator

Several new private classes make it harder for external tools such as Oozie to integrate with Pig statistics

None of the mentioned

Discuss

Answer: (c).Several new private classes make it harder for external tools such as Oozie to integrate with Pig statistics

Q45.

Point out the correct statement.

LoadMeta has methods to convert byte arrays to specific types

The Pig load/store API is aligned with Hadoop InputFormat class only

LoadPush has methods to push operations from Pig runtime into loader implementations

All of the mentioned

Discuss

Answer: (c).LoadPush has methods to push operations from Pig runtime into loader implementations

Q46.

Point out the wrong statement.

The load/store UDFs control how data goes into Pig and comes out of Pig.

LoadCaster has methods to convert byte arrays to specific types.

The meaning of getNext() has changed and is called by Pig runtime to get the last tuple in the data

None of the mentioned

Discuss

Answer: (c).The meaning of getNext() has changed and is called by Pig runtime to get the last tuple in the data

Q47.

Point out the correct statement.

Invoke the Grunt shell using the “enter” command

Pig does not support jar files

Both the run and exec commands are useful for debugging because you can modify a Pig script in an editor

All of the mentioned

Discuss

Answer: (c).Both the run and exec commands are useful for debugging because you can modify a Pig script in an editor

Q48.

Point out the wrong statement.

You can run Pig scripts from the command line and from the Grunt shell

DECLARE defines a Pig macro

Use Pig scripts to place Pig Latin statements and Pig commands in a single file

None of the mentioned

Discuss

Answer: (b).DECLARE defines a Pig macro

Q49.

Point out the correct statement.

LoadPredicatePushdown is same as LoadMetadata.setPartitionFilter

getOutputFormat() is called by Pig to get the InputFormat used by the loader

Pig works with data from many sources

None of the mentioned

Discuss

Answer: (c).Pig works with data from many sources

Q50.

Point out the wrong statement.

Pig can invoke code in language like Java Only

Pig enables data workers to write complex data transformations without knowing Java

Pig’s simple SQL-like scripting language is called Pig Latin, and appeals to developers already familiar with scripting languages and SQL

Pig is complete, so you can do all required data manipulations in Apache Hadoop with Pig

Discuss

Answer: (a).Pig can invoke code in language like Java Only

Page 5 of 6

Welcome to the Introduction to Pig MCQs Page

Introduction to Pig MCQs | Page 5 of 6

Explore more Topics under Hadoop

Basics of Hadoop

MapReduce Basics

Hadoop Distributed File System

Hadoop IO

MapReduce Development and Features

Hive and HBase

ZooKeeper,Sqoop and Cassandra

Hadoop Incubators and Hadoop Development Tools

Hadoop Frameworks

Hadoop Libraries and Utilities

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