Welcome to the Hadoop Frameworks MCQs Page

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

Hadoop Frameworks MCQs | Page 10 of 20

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

Introduction to Pig

07

Hive and HBase

08

ZooKeeper,Sqoop and Cassandra

09

Hadoop Incubators and Hadoop Development Tools

10

Hadoop Libraries and Utilities

Q91.

MapR __________ Solution Earns Highest Score in Gigaom Research Data Warehouse Interoperability Report.

SQL-on-Hadoop

Hive-on-Hadoop

Pig-on-Hadoop

All of the mentioned

Discuss

Answer: (a).SQL-on-Hadoop

Q92.

Drill integrates with BI tools using a standard __________ connector.

JDBC

ODBC

ODBC-JDBC

All of the mentioned

Discuss

Answer: (b).ODBC

Q93.

Drill analyze semi-structured/nested data coming from _________ applications.

RDBMS

NoSQL

NewSQL

None of the mentioned

Discuss

Answer: (b).NoSQL

Q94.

Apache _________ provides direct queries on self-describing and semi-structured data in files.

Drill

Mahout

Oozie

All of the mentioned

Discuss

Answer: (a).Drill

Q95.

Drill provides a __________ like internal data model to represent and process data.

XML

JSON

TIFF

None of the mentioned

Discuss

Answer: (b).JSON

Q96.

Drill also provides intuitive extensions to SQL to work with _______ data types.

simple

nested

int

all of the mentioned

Discuss

Answer: (b).nested

Q97.

The Apache Crunch Java library provides a framework for writing, testing, and running ___________ pipelines.

MapReduce

Pig

Hive

None of the mentioned

Discuss

Answer: (a).MapReduce

Q98.

For Scala users, there is the __________ API, which is built on top of the Java APIs.

Prunch

Scrunch

Hivench

All of the mentioned

Discuss

Answer: (b).Scrunch

Q99.

The Crunch APIs are modeled after _________ which is the library that Google uses for building data pipelines on top of their own implementation of MapReduce.

FlagJava

FlumeJava

FlakeJava

All of the mentioned

Discuss

Answer: (b).FlumeJava

Q100.

Crunch was designed for developers who understand __________ and want to use MapReduce effectively.

Java

Python

Scala

Javascript

Discuss

Answer: (a).Java

Page 10 of 20

Welcome to the Hadoop Frameworks MCQs Page

Hadoop Frameworks MCQs | Page 10 of 20

Explore more Topics under Hadoop

Basics of Hadoop

MapReduce Basics

Hadoop Distributed File System

Hadoop IO

MapReduce Development and Features

Introduction to Pig

Hive and HBase

ZooKeeper,Sqoop and Cassandra

Hadoop Incubators and Hadoop Development Tools

Hadoop Libraries and Utilities

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