Storm For Big Data Set 2

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Free Online Best Storm For Big Data MCQ Questions for improve your basic knowledge of Storm For Big Data. This Storm For Big Data set 2 test that contains 25 Multiple Choice Questions with 4 options. You have to select the right answer to a question.

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Question 1

Which of the following are NOT big data problem(s)?

A	Parsing 5 MB XML file every 5 minutes
B	Processing IPL tweet sentiments
C	Processing online bank transactions
D	both A and C

Question 2

For Apache __________ users, Storm utilizes the same ODBC interface

A	cTakes
B	Hive
C	Pig
D	Oozie

Question 3

Which of the following are the core components of Hadoop?

A	HDFS
B	Map Reduce
C	HBase
D	both a and c

Question 4

____________ communicates with Nimbus through Zookeeper, starts and stops workers according to signals from Nimbus

A	Zookeeper
B	Nimbus
C	Supervisor
D	None of the above

Question 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 above

Question 6

Apache Storm added open source, stream data processing to _________ Data Platform

A	Cloudera
B	Hortonworks
C	Local Cloudera
D	MapR

Question 7

__________ node distributes code across the cluster

A	Zookeeper
B	Nimbus
C	Supervisor
D	None of the above

Question 8

Which of the following Batch Processing instance is NOT an example of BigData Batch Processing?

A	Processing 10 GB sales data every 6 hours
B	Processing flights sensor data
C	Web crawling app
D	Trending topic analysis of tweets for last 15 minutes

Question 9

Hive can be used for real time queries?

A	TRUE
B	FALSE
C	True if data set is small
D	True for some distributions

Question 10

____________ communicates with Nimbus through Zookeeper, starts and stops workers according to signals from Nimbus

A	Nimbus
B	Zookeeper
C	Supervisor
D	All of the above

Question 11

____________ is a distributed real-time computation system for processing large volumes of high-velocity data.

A	Kafka
B	Storm
C	Lucene
D	BigTop

Question 12

Storm is benchmarked as processing one million _______ byte messages per second per node

A	10
B	50
C	100
D	200

Question 13

Sliding window operations typically fall in the category of__________________

A	OLTP Transactions
B	Big Data Batch Processing
C	Big Data Real Time Processing
D	Small Batch Processing

Question 14

Which of the following are example(s) of Real Time Big Data Processing?

A	Complex Event Processing (CEP) platforms
B	Stock market data analysis
C	Bank fraud transactions detection
D	both a and c

Question 15

What is Hive used as?

A	Hadoop query engine
B	MapReduce wrapper
C	Hadoop SQL interface
D	All of the above

Question 16

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 above

Question 17

What is HBase used as?

A	Tool for Random and Fast Read/Write operations in Hadoop
B	Faster Read only query engine in Hadoop
C	MapReduce alternative in Hadoop
D	Fast MapReduce layer in Hadoop

Question 18

What does “Velocity” in Big Data mean?

A	Speed of input data generation
B	Speed of individual machine processors
C	Speed of ONLY storing data
D	Speed of storing and processing data

Question 19

The term Big Data first originated from____

A	Stock Markets Domain
B	Banking and Finance Domain
C	Genomics and Astronomy Domain
D	Social Media Domain

Question 20

What are the steps involved in Installation and Configuration of Apache Storm?

A	Choosing the Storm Version
B	OS Selection
C	Machine Selection
D	All of the above

Question 21

Which of the following are NOT true for Hadoop?

A	It’s a tool for Big Data analysis
B	It supports structured and unstructured data analysis
C	It aims for vertical scaling out/in scenarios
D	both a and c

Question 22

Storm integrates with __________ via Apache Slider

A	Scheduler
B	YARN
C	Compaction
D	All of the above

Question 23

What does commodity Hardware in Hadoop world mean?

A	Very cheap hardware
B	Industry standard hardware
C	Discarded hardware
D	Low specifications Industry grade hardware

Question 24

How many types of nodes are present in Storm cluster?

A	1
B	2
C	3
D	4

Question 25

What is the default HDFS block size?

A	32 MB
B	64 KB
C	128 KB
D	64 MB

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