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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.

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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 18 of 20

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Q171.
Which of the following is true about mahout?

a.

A mahout is one who drives an elephant as its master.

b.

Apache Mahout is an open source project that is primarily used for creating scalable machine learning algorithms

c.

Mahout lets applications to analyze large sets of data effectively and in quick time.

d.

All of the above

Discuss
Answer: (d).All of the above
Q172.
In which year Apache Mahout started?

a.

2007

b.

2008

c.

2009

d.

2010

Discuss
Answer: (b).2008
Q173.
Mahout provides ____________ libraries for common and primitive Java collections.

a.

python

b.

perl

c.

java

d.

C

Discuss
Answer: (c).java
Q174.
Which of the following is not a features of Mahout?

a.

Mahout lets applications to analyze large sets of data effectively and in quick time.

b.

Mahout includes matrix and vector libraries.

c.

Mahout comes with distributed fitness function capabilities for evolutionary programming.

d.

All of the above

Discuss
Answer: (d).All of the above
Q175.
Point out the wrong statement.

a.

'Taste' collaborative-filtering recommender component of Mahout was originally a separate project and can run standalone without Hadoop

b.

Integration of Mahout with initiatives such as the Pregel-like Giraph are actively under discussion

c.

Calculating the LLR is very straightforward

d.

None of the above

Discuss
Answer: (d).None of the above
Q176.
How many classification does Naive Bayes Classifier have?

a.

1

b.

2

c.

3

d.

4

Discuss
Answer: (b).2
Q177.
How many algorithms mahout supports for clustering?

a.

1

b.

2

c.

3

d.

4

Discuss
Answer: (b).2
Q178.
Lucene provides scalable, high-Performance indexing over ______ per hour on modern hardware.

a.

1GB

b.

150GB

c.

1TB

d.

150TB

Discuss
Answer: (b).150GB
Q179.
All file access uses Java's __________ APIs which give Lucene stronger index safety.

a.

NIO.1

b.

NIO.2

c.

NIO.3

d.

NIO.4

Discuss
Answer: (b).NIO.2
Q180.
What is true about Apache Flume?

a.

Apache Flumeis a reliable and distributed system for collecting, aggregating and moving massive quantities of log data.

b.

It has a simple yet flexible architecture based on streaming data flows

c.

Apache Flume is used to collect log data present in log files from web servers and aggregating it into HDFS for analysis.

d.

All of the above

Discuss
Answer: (d).All of the above
Page 18 of 20

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