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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 3 of 6

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Q21.
_________ hides the limitations of Java behind a powerful and concise Clojure API for Cascading.

a.

Scalding

b.

HCatalog

c.

Cascalog

d.

All of the mentioned

Discuss
Answer: (c).Cascalog
Q22.
Hive also support custom extensions written in ____________

a.

C#

b.

Java

c.

C

d.

C++

Discuss
Answer: (b).Java
Q23.
________ is the most popular high-level Java API in Hadoop Ecosystem

a.

Scalding

b.

HCatalog

c.

Cascalog

d.

Cascading

Discuss
Answer: (d).Cascading
Q24.
___________ is general-purpose computing model and runtime system for distributed data analytics.

a.

Mapreduce

b.

Drill

c.

Oozie

d.

None of the mentioned

Discuss
Answer: (a).Mapreduce
Q25.
The Pig Latin scripting language is not only a higher-level data flow language but also has operators similar to ____________

a.

SQL

b.

JSON

c.

XML

d.

All of the mentioned

Discuss
Answer: (a).SQL
Q26.
_______ jobs are optimized for scalability but not latency.

a.

Mapreduce

b.

Drill

c.

Oozie

d.

Hive

Discuss
Answer: (d).Hive
Q27.
______ is a framework for performing remote procedure calls and data serialization.

a.

Drill

b.

BigTop

c.

Avro

d.

Chukwa

Discuss
Answer: (c).Avro
Q28.
Point out the correct statement.

a.

Hadoop do need specialized hardware to process the data

b.

Hadoop 2.0 allows live stream processing of real-time data

c.

In Hadoop programming framework output files are divided into lines or records

d.

None of the mentioned

Discuss
Answer: (b).Hadoop 2.0 allows live stream processing of real-time data
Q29.
Point out the correct statement.

a.

Hive is not a relational database, but a query engine that supports the parts of SQL specific to querying data

b.

Hive is a relational database with SQL support

c.

Pig is a relational database with SQL support

d.

All of the mentioned

Discuss
Answer: (a).Hive is not a relational database, but a query engine that supports the parts of SQL specific to querying data
Q30.
Point out the wrong statement.

a.

Elastic MapReduce (EMR) is Facebook’s packaged Hadoop offering

b.

Amazon Web Service Elastic MapReduce (EMR) is Amazon’s packaged Hadoop offering

c.

Scalding is a Scala API on top of Cascading that removes most Java boilerplate

d.

All of the mentioned

Discuss
Answer: (a).Elastic MapReduce (EMR) is Facebook’s packaged Hadoop offering
Page 3 of 6

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