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Welcome to the Basics of Hadoop MCQs Page

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

Basics of Hadoop MCQs | Page 2 of 6

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Q11.
As companies move past the experimental phase with Hadoop, many cite the need for additional capabilities, including _______________

a.

Improved data storage and information retrieval

b.

Improved extract, transform and load features for data integration

c.

Improved data warehousing functionality

d.

Improved security, workload management, and SQL support

Discuss
Answer: (d).Improved security, workload management, and SQL support
Q12.
According to analysts, for what can traditional IT systems provide a foundation when they’re integrated with big data technologies like Hadoop?

a.

Big data management and data mining

b.

Data warehousing and business intelligence

c.

Management of Hadoop clusters

d.

Collecting and storing unstructured data

Discuss
Answer: (a).Big data management and data mining
Q13.
Hadoop is a framework that works with a variety of related tools. Common cohorts include ____________

a.

MapReduce, Hive and HBase

b.

MapReduce, MySQL and Google Apps

c.

MapReduce, Hummer and Iguana

d.

MapReduce, Heron and Trumpet

Discuss
Answer: (a).MapReduce, Hive and HBase
Q14.
Point out the wrong statement.

a.

Hardtop processing capabilities are huge and its real advantage lies in the ability to process terabytes & petabytes of data

b.

Hadoop uses a programming model called “MapReduce”, all the programs should confirm to this model in order to work on Hadoop platform

c.

The programming model, MapReduce, used by Hadoop is difficult to write and test

d.

All of the mentioned

Discuss
Answer: (c).The programming model, MapReduce, used by Hadoop is difficult to write and test
Q15.
What was Hadoop named after?

a.

Creator Doug Cutting’s favorite circus act

b.

Cutting’s high school rock band

c.

The toy elephant of Cutting’s son

d.

A sound Cutting’s laptop made during Hadoop development

Discuss
Answer: (c).The toy elephant of Cutting’s son
Q16.
All of the following accurately describe Hadoop, EXCEPT ____________

a.

Open-source

b.

Real-time

c.

Java-based

d.

Distributed computing approach

Discuss
Answer: (b).Real-time
Q17.
__________ can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of data.

a.

MapReduce

b.

Mahout

c.

Oozie

d.

All of the mentioned

Discuss
Answer: (a).MapReduce
Q18.
__________ has the world’s largest Hadoop cluster.

a.

Apple

b.

Datamatics

c.

Facebook

d.

None of the mentioned

Discuss
Answer: (c).Facebook
Q19.
Facebook Tackles Big Data With _______ based on Hadoop.

a.

‘Project Prism’

b.

‘Prism’

c.

‘Project Big’

d.

‘Project Data’

Discuss
Answer: (a).‘Project Prism’
Q20.
________ is a platform for constructing data flows for extract, transform, and load (ETL) processing and analysis of large datasets.

a.

Pig Latin

b.

Oozie

c.

Pig

d.

Hive

Discuss
Answer: (c).Pig
Page 2 of 6

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