Hadoop Questions and Answers – Storm

This set of Hadoop Multiple Choice Questions & Answers (MCQs) focuses on “Storm”.

1. ____________ is a distributed real-time computation system for processing large volumes of high-velocity data.
a) Kafka
b) Storm
c) Lucene
d) BigTop
View Answer

Answer: b
Explanation: Storm on YARN is powerful for scenarios requiring real-time analytics, machine learning and continuous monitoring of operations.

2. Point out the correct statement.
a) A Storm topology consumes streams of data and processes those streams in arbitrarily complex ways
b) Apache Storm is a free and open source distributed real-time computation system
c) Storm integrates with the queueing and database technologies you already use
d) All of the mentioned
View Answer

Answer: d
Explanation: Storm has many use cases: real-time analytics, online machine learning, continuous computation, distributed RPC, ETL, and more.

3. Storm integrates with __________ via Apache Slider.
a) Scheduler
b) YARN
c) Compaction
d) All of the mentioned
View Answer

Answer: c
Explanation: Impala is open source (Apache License), so you can self-support in perpetuity if you wish.

4. For Apache __________ users, Storm utilizes the same ODBC interface.
a) cTakes
b) Hive
c) Pig
d) Oozie
View Answer

Answer: b
Explanation: You don’t have to worry about re-inventing the implementation wheel.

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5. Point out the wrong statement.
a) Storm is difficult and can be used with only Java
b) Storm is fast: a benchmark clocked it at over a million tuples processed per second per node
c) Storm is scalable, fault-tolerant, guarantees your data will be processed
d) All of the mentioned
View Answer

Answer: a
Explanation: Storm is simple, can be used with any programming language.

6. Storm is benchmarked as processing one million _______ byte messages per second per node.
a) 10
b) 50
c) 100
d) 200
View Answer

Answer: c
Explanation: Storm is a distributed real-time computation system.

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7. Apache Storm added the open source, stream data processing to _________ Data Platform.
a) Cloudera
b) Hortonworks
c) Local Cloudera
d) MapR
View Answer

Answer: b
Explanation: The Storm community is working to improve capabilities related to three important themes: business continuity, operations, and developer productivity.

8. How many types of nodes are present in Storm cluster?
a) 1
b) 2
c) 3
d) 4
View Answer

Answer: c
Explanation: A storm cluster has three sets of nodes.

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9. __________ node distributes code across the cluster.
a) Zookeeper
b) Nimbus
c) Supervisor
d) None of the mentioned
View Answer

Answer: b
Explanation: Nimbus node is master node, similar to the Hadoop JobTracker.

10. ____________ communicates with Nimbus through Zookeeper, starts and stops workers according to signals from Nimbus.
a) Zookeeper
b) Nimbus
c) Supervisor
d) None of the mentioned
View Answer

Answer: c
Explanation: ZooKeeper nodes coordinate the Storm cluster.

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If you find a mistake in question / option / answer, kindly take a screenshot and email to [email protected]

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Manish Bhojasia - Founder & CTO at Sanfoundry
Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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