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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.

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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

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Q41.
Point out the correct statement.

a.

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

b.

You can run Pig in batch mode using the Grunt shell

c.

You can run Pig in interactive mode using the FS shell

d.

None of the mentioned

Discuss
Answer: (a).You can run Pig in either mode using the “pig” command
Q42.
Point out the wrong statement.

a.

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

b.

The DISPLAY operator will display the results to your terminal screen

c.

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

d.

All of the mentioned

Discuss
Answer: (b).The DISPLAY operator will display the results to your terminal screen
Q43.
Point out the correct statement.

a.

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

b.

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

c.

Hadoop properties are interpreted by Pig

d.

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.

a.

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

b.

ILLUSTRATE is based on an example generator

c.

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

d.

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.

a.

LoadMeta has methods to convert byte arrays to specific types

b.

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

c.

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

d.

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.

a.

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

b.

LoadCaster has methods to convert byte arrays to specific types.

c.

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

d.

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.

a.

Invoke the Grunt shell using the “enter” command

b.

Pig does not support jar files

c.

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

d.

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.

a.

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

b.

DECLARE defines a Pig macro

c.

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

d.

None of the mentioned

Discuss
Answer: (b).DECLARE defines a Pig macro
Q49.
Point out the correct statement.

a.

LoadPredicatePushdown is same as LoadMetadata.setPartitionFilter

b.

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

c.

Pig works with data from many sources

d.

None of the mentioned

Discuss
Answer: (c).Pig works with data from many sources
Q50.
Point out the wrong statement.

a.

Pig can invoke code in language like Java Only

b.

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

c.

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

d.

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

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