Hadoop Multiple Choice Questions 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
Answer: b
Clarification: 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
Answer: d
Clarification: 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
Answer: c
Clarification: 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
Answer: b
Clarification: You don’t have to worry about re-inventing the implementation wheel.
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
Answer: a
Clarification: 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
Answer: c
Clarification: Storm is a distributed real-time computation system.
7. Apache Storm added open source, stream data processing to _________ Data Platform.
a) Cloudera
b) Hortonworks
c) Local Cloudera
d) MapR
Answer: b
Clarification: 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
Answer: c
Clarification: A storm cluster has three sets of nodes.
9. __________ node distributes code across the cluster.
a) Zookeeper
b) Nimbus
c) Supervisor
d) None of the mentioned
Answer: b
Clarification: 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
Answer: c
Clarification: ZooKeeper nodes coordinate the Storm cluster.