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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 14 of 20

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Q131.
Point out the correct statement.

a.

Spark enables Apache Hive users to run their unmodified queries much faster

b.

Spark interoperates only with Hadoop

c.

Spark is a popular data warehouse solution running on top of Hadoop

d.

None of the mentioned

Discuss
Answer: (a).Spark enables Apache Hive users to run their unmodified queries much faster
Q132.
Point out the wrong statement.

a.

Spark is intended to replace, the Hadoop stack

b.

Spark was designed to read and write data from and to HDFS, as well as other storage systems

c.

Hadoop users who have already deployed or are planning to deploy Hadoop Yarn can simply run Spark on YARN

d.

None of the mentioned

Discuss
Answer: (a).Spark is intended to replace, the Hadoop stack
Q133.
Point out the correct statement.

a.

Flume is a distributed, reliable, and available service

b.

Version 1.5.2 is the eighth Flume release as an Apache top-level project

c.

Flume 1.5.2 is production-ready software for integration with hadoop

d.

All of the mentioned

Discuss
Answer: (a).Flume is a distributed, reliable, and available service
Q134.
Point out the wrong statement.

a.

Version 1.4.0 is the fourth Flume release as an Apache top-level project

b.

Apache Flume 1.5.2 is a security and maintenance release that disables SSLv3 on all components in Flume that support SSL/TLS

c.

Flume is backwards-compatible with previous versions of the Flume 1.x codeline

d.

None of the mentioned

Discuss
Answer: (d).None of the mentioned
Q135.
Point out the correct statement.

a.

Building PyLucene requires GNU Make, a recent version of Ant capable of building Java Lucene and a C++ compiler

b.

PyLucene is supported on Mac OS X, Linux, Solaris and Windows

c.

Use of setuptools is recommended for Lucene

d.

All of the mentioned

Discuss
Answer: (d).All of the mentioned
Q136.
Point out the wrong statement.

a.

PyLucene is a Lucene port

b.

PyLucene embeds a Java VM with Lucene into a Python process

c.

The PyLucene Python extension, a Python module called lucene is machine-generated by JCC

d.

PyLucene is built with JCC

Discuss
Answer: (a).PyLucene is a Lucene port
Q137.
Point out the correct statement.

a.

Every Lucene segment now stores a unique id per-segment and per-commit to aid in accurate replication of index files

b.

The default norms format now uses sparse encoding when appropriate

c.

Tokenizers and Analyzers no longer require Reader on init

d.

All of the mentioned

Discuss
Answer: (d).All of the mentioned
Q138.
Point out the wrong statement.

a.

ConcurScheduler detects whether the index is on SSD or not

b.

Memory index supports payloads

c.

Auto-IO-throttling has been added to ConcurrentMergeScheduler, to rate limit IO writes for each merge depending on incoming merge rate

d.

The default codec has an option to control BEST_SPEED or BEST_COMPRESSION for stored fields

Discuss
Answer: (a).ConcurScheduler detects whether the index is on SSD or not
Q139.
Point out the correct statement.

a.

In local mode, nothing must be launched via the start scripts

b.

Distributed Mode is just like the “Pseudo Distributed Mode”

c.

Apache Hama is one of the under-hyped projects in the Hadoop ecosystem

d.

All of the mentioned

Discuss
Answer: (b).Distributed Mode is just like the “Pseudo Distributed Mode”
Q140.
Point out the wrong statement.

a.

Apache Hama is not a pure Bulk Synchronous Parallel Engine

b.

Hama uses the Hadoop Core for RPC calls

c.

Apache Hama is optimized for massive scientific computations such as matrix, graph and network algorithms

d.

Hama is a relatively newer project than Hadoop

Discuss
Answer: (a).Apache Hama is not a pure Bulk Synchronous Parallel Engine
Page 14 of 20

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