Question 1

Data in ___________ bytes size is called Big Data.
A)Tera
B)Giga
C)Peta
D)Meta

Accepted Answer

Data in Peta bytes size is called Big Data.

Question 2

How many V's of Big Data
A)2
B)3
C)4
D)5

Accepted Answer

The 5 V's of Big Data are Volume, Velocity, Variety, Veracity, and Value, which represent the key characteristics that make big data analysis challenging and unique.

Question 3

Transaction data of the bank is?
A)structured data
B)unstructured datat
C)Both A and B
D)None of the above

Accepted Answer

Transaction data of the bank is typically structured data because it is organized in a predefined manner, often in tables or databases, making it easy to access, query, and analyze.

Question 4

In how many forms BigData could be found?
A)2
B)3
C)4
D)5

Accepted Answer

Big Data can be found in three primary forms: structured, unstructured, and semi-structured.

Question 5

Which of the following are Benefits of Big Data Processing?
A)Businesses can utilize outside intelligence while taking decisions
B)Improved customer service
C)Better operational efficiency
D)All of the above

Accepted Answer

Big Data Processing offers multiple benefits including utilizing external data for informed decision-making, enhancing customer service through personalized experiences, and improving operational efficiency by optimizing processes.

Question 6

Which of the following are incorrect Big Data Technologies?
A)Apache Hadoop
B)Apache Spark
C)Apache Kafka
D)Apache Pytarch

Accepted Answer

Apache Pytarch is not a recognized Big Data technology; it seems to be a misspelling or incorrect term. The correct term might be PyTorch, which is a machine learning library, not specifically a Big Data technology.

Question 7

The overall percentage of the world's total data has been created just within the past two years is ?
A)80%
B)85%
C)90%
D)95%

Accepted Answer

It is estimated that around 90% of the world's total data has been generated in just the past two years, reflecting the exponential growth in digital information due to advancements in technology and the increase in internet usage worldwide.

Question 8

Apache Kafka is an open-source platform that was created by?
A)LinkedIn
B)Facebook
C)Google
D)IBM

Accepted Answer

Apache Kafka was created by LinkedIn. It was originally developed as a messaging queue and has evolved into a full-fledged event streaming platform. LinkedIn introduced Kafka in 2011 as an open-source project.

Question 9

What was Hadoop named after?
A)Creator Doug Cutting's favorite circus act
B)Cuttings high school rock band
C)The toy elephant of Cutting's son
D)A sound Cutting's laptop made during Hadoop development

Accepted Answer

Hadoop was named after a toy elephant belonging to the son of Doug Cutting, who was one of the creators of Hadoop.

Question 10

What are the main components of Big Data?
A)MapReduce
B)HDFS
C)YARN
D)All of the above

Accepted Answer

The main components of Big Data include MapReduce for processing large data sets, HDFS (Hadoop Distributed File System) for storage, and YARN (Yet Another Resource Negotiator) for cluster management, making all of the above correct.

Question 11

All of the following accurately describe Hadoop, EXCEPT ____________
A)Open-source
B)Real-time
C)Java-based
D)Distributed computing approach

Accepted Answer

Hadoop is not designed for real-time processing. It is primarily used for batch processing large sets of data across a distributed computing environment.

Question 12

__________ has the world's largest Hadoop cluster.
A)Apple
B)Datamatics
C)Facebook
D)None of the above

Accepted Answer

Facebook has the world's largest Hadoop cluster, which it uses to store and process vast amounts of data generated by its users.

Question 13

Facebook Tackles Big Data With _______ based on Hadoop.
A)Project Prism
B)Prism
C)Project Big
D)Project Data

Accepted Answer

Project Prism is a Facebook-developed data management platform based on Hadoop.

Question 14

___________ is general-purpose computing model and runtime system for distributed data analytics.
A)Mapreduce
B)Drill
C)Oozie
D)None of the above

Accepted Answer

MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a cluster. It is a cornerstone of many distributed data processing systems.

Question 15

The examination of large amounts of data to see what patterns or other useful information can be found is known as
A)Data examination
B)Information analysis
C)Big data analytics
D)Data analysis

Accepted Answer

Big data analytics involves examining large and varied data sets — or big data — to uncover hidden patterns, unknown correlations, market trends, customer preferences, and other useful information.

Question 16

Big data analysis does the following except?
A)Collects data
B)Spreads data
C)Organizes data
D)Analyzes data

Accepted Answer

The answer of Big data analysis does the following except?
A)Collects...

Question 17

What makes Big Data analysis difficult to optimize?
A)Big Data is not difficult to optimize
B)Both data and cost effective ways to mine data to make business sense out of it
C)The technology to mine data
D)None of the above

Accepted Answer

Big Data analysis is challenging to optimize due to the sheer volume of data and the need for cost-effective methods to mine and extract meaningful insights from this data for business purposes.

Question 18

The new source of big data that will trigger a Big Data revolution in the years to come is?
A)Business transactions
B)Social media
C)Transactional data and sensor data
D)RDBMS

Accepted Answer

Transactional data and sensor data are increasingly becoming significant sources of big data. Transactional data, generated from everyday business operations, and sensor data, produced by IoT devices, are both growing at an exponential rate, providing valuable insights that can drive innovation and efficiency.

Question 19

The unit of data that flows through a Flume agent is
A)Log
B)Row
C)Record
D)Event

Accepted Answer

The unit of data that flows through a Flume agent is referred to as an "Event." An Event is a single data record or unit that Flume can transport from its source to its destination.

Question 20

Listed below are the three steps that are followed to deploy a Big Data Solution except
A)Data Processing
B)Data dissemination
C)Data Storage
D)Data Ingestion

Accepted Answer

Data dissemination is not a step in deploying a Big Data solution; it refers to the distribution or spreading of data for use by end-users, which is different from the core steps of processing, storing, and ingesting data in a Big Data context.

Quiz 1: Understanding the Basics and Technologies

Data in ___________ bytes size is called Big Data.

How many V's of Big Data

Transaction data of the bank is?

In how many forms BigData could be found?

Which of the following are Benefits of Big Data Processing?

Which of the following are incorrect Big Data Technologies?

The overall percentage of the world's total data has been created just within the past two years is ?

Apache Kafka is an open-source platform that was created by?

What was Hadoop named after?

What are the main components of Big Data?

All of the following accurately describe Hadoop, EXCEPT ____________

__________ has the world's largest Hadoop cluster.

Facebook Tackles Big Data With _______ based on Hadoop.

___________ is general-purpose computing model and runtime system for distributed data analytics.

The examination of large amounts of data to see what patterns or other useful information can be found is known as

Big data analysis does the following except?

What makes Big Data analysis difficult to optimize?

The new source of big data that will trigger a Big Data revolution in the years to come is?

The unit of data that flows through a Flume agent is

Listed below are the three steps that are followed to deploy a Big Data Solution except