Welcome to the Hadoop IO MCQs Page

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

Hadoop IO MCQs | Page 5 of 6

Explore more Topics under Hadoop

01

Basics of Hadoop

02

MapReduce Basics

03

Hadoop Distributed File System

04

MapReduce Development and Features

05

Introduction to Pig

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.

Which of the following is a primitive data type in Avro?

null

boolean

float

all of the mentioned

Discuss

Answer: (d).all of the mentioned

Q42.

Avro supports ______ kinds of complex types.

Discuss

Answer: (d).7

Q43.

________ are encoded as a series of blocks.

Arrays

Enum

Unions

Maps

Discuss

Answer: (a).Arrays

Q44.

________ instances are encoded using the number of bytes declared in the schema.

Fixed

Enum

Unions

Maps

Discuss

Answer: (a).Fixed

Q45.

________ permits data written by one system to be efficiently sorted by another system.

Complex Data type

Order

Sort Order

All of the mentioned

Discuss

Answer: (c).Sort Order

Q46.

_____________ are used between blocks to permit efficient splitting of files for MapReduce processing.

Codec

Data Marker

Synchronization markers

All of the mentioned

Discuss

Answer: (c).Synchronization markers

Q47.

The __________ codec uses Google’s Snappy compression library.

null

snappy

deflate

none of the mentioned

Discuss

Answer: (b).snappy

Q48.

Avro messages are framed as a list of _________

buffers

frames

rows

none of the mentioned

Discuss

Answer: (b).frames

Q49.

Point out the correct statement.

The sequence file also can contain a “secondary” key-value list that can be used as file Metadata

SequenceFile formats share a header that contains some information which allows the reader to recognize is format

There’re Key and Value Class Name’s that allow the reader to instantiate those classes, via reflection, for reading

All of the mentioned

Discuss

Answer: (d).All of the mentioned

Q50.

Point out the wrong statement.

The data file contains all the key, value records but key N + 1 must be greater than or equal to the key N

Sequence file is a kind of hadoop file based data structure

Map file type is splittable as it contains a sync point after several records

None of the mentioned

Discuss

Answer: (c).Map file type is splittable as it contains a sync point after several records

Page 5 of 6

Welcome to the Hadoop IO MCQs Page

Hadoop IO MCQs | Page 5 of 6

Explore more Topics under Hadoop

Basics of Hadoop

MapReduce Basics

Hadoop Distributed File System

MapReduce Development and Features

Introduction to Pig

Hive and HBase

ZooKeeper,Sqoop and Cassandra

Hadoop Incubators and Hadoop Development Tools

Hadoop Frameworks

Hadoop Libraries and Utilities

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