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Welcome to the Big Data Processing with MapReduce MCQs Page

Dive deep into the fascinating world of Big Data Processing with MapReduce with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Big Data Processing with MapReduce, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Big Data Processing with MapReduce, 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 Big Data Computing.

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Check out the MCQs below to embark on an enriching journey through Big Data Processing with MapReduce. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Big Data Computing.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Big Data Processing with MapReduce. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Big Data Processing with MapReduce MCQs | Page 5 of 8

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Q41.
Which company originally developed Hadoop?

a.

Google

b.

Yahoo!

c.

IBM

d.

Amazon

Discuss
Answer: (a).Google Explanation:Hadoop was originally developed by Doug Cutting to support distribution for the Nutch search engine.
Q42.
What is the primary programming language used for writing MapReduce programs in Hadoop?

a.

Erlang

b.

Ruby

c.

Python

d.

Java

Discuss
Answer: (d).Java Explanation:The primary programming language used for writing MapReduce programs in Hadoop is Java.
Q43.
What is one advantage of Skynet's architecture compared to other MapReduce implementations?

a.

It has a centralized administration system.

b.

It uses a master-slave architecture.

c.

It is not fault-tolerant.

d.

Its administration is fully distributed with no single point of failure.

Discuss
Answer: (d).Its administration is fully distributed with no single point of failure. Explanation:One advantage of Skynet's architecture is that its administration is fully distributed with no single point of failure, unlike other MapReduce implementations that rely on centralized systems.
Q44.
What is Dryad's approach to executing data parallel applications?

a.

Dryad divides applications into map and reduce phases.

b.

Dryad expresses programs as directed acyclic graphs with computations as vertices and communication channels as edges.

c.

Dryad uses a master-slave architecture similar to MapReduce.

d.

Dryad relies on a centralized administration system.

Discuss
Answer: (b).Dryad expresses programs as directed acyclic graphs with computations as vertices and communication channels as edges. Explanation:Dryad expresses programs as directed acyclic graphs in which vertices are computations, and edges are communication channels.
Q45.
What programming language is the current implementation of Dryad written in?

a.

Java

b.

Python

c.

C++

d.

Erlang

Discuss
Answer: (c).C++ Explanation:The current implementation of Dryad is written in C++, but it offers interfaces that make it possible to use higher-level languages.
Q46.
Which subproject of Hadoop provides the common utilities and interfaces supporting other Hadoop subprojects?

a.

MapReduce

b.

HDFS

c.

Common

d.

Pig

Discuss
Answer: (c).Common Explanation:The "Common" subproject of Hadoop provides the common utilities and interfaces that support the other Hadoop subprojects.
Q47.
What does HBase provide, and what is it built on top of?

a.

HBase provides high-throughput access to application data and is built on top of Pig.

b.

HBase provides structured data storage for large tables and is built on top of HDFS.

c.

HBase provides a data summarization language and is built on top of Hive.

d.

HBase provides a distributed file system for Hadoop.

Discuss
Answer: (b).HBase provides structured data storage for large tables and is built on top of HDFS. Explanation:HBase provides structured data storage for large tables and is built on top of HDFS.
Q48.
Which of the following companies was one of the early adopters of Hadoop, using it to generate their search index?

a.

Google

b.

Yahoo!

c.

Microsoft

d.

Facebook

Discuss
Answer: (b).Yahoo! Explanation:Yahoo! was one of the early adopters of Hadoop, using it to generate their search index.
Q49.
What is the primary language used for writing MapReduce programs in Disco?

a.

C++

b.

Java

c.

Python

d.

Ruby

Discuss
Answer: (c).Python Explanation:In Disco, MapReduce programs are primarily written in Python.
Q50.
How does Skynet handle worker node failures in its MapReduce implementation?

a.

Skynet uses a centralized master server to monitor and recover failed workers.

b.

Skynet relies on a peer recovery system where workers watch out for each other and take over tasks if a node fails.

c.

Skynet does not handle worker node failures and requires manual intervention.

d.

Skynet uses external monitoring tools to recover failed nodes.

Discuss
Answer: (b).Skynet relies on a peer recovery system where workers watch out for each other and take over tasks if a node fails. Explanation:Skynet uses a peer recovery system where workers watch out for each other, and if a node fails, another worker will pick up the task.
Page 5 of 8

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