Big Data MCQ Questions

Big Data MCQ Questions

  • Sharad Jaiswal
  • 26th Feb, 2022

We are introducing here the best Big Data MCQ Questions, which are very popular & asked various times. This Quiz contains the best 25+ Big Data MCQ with Answers, which cover the important topics of Big Data so that, you can perform best in Big Data exams, interviews, and placement activities.

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Practice Best Big Data MCQ Questions;

1) ________ is a collection of data that is huge in volume, yet growing exponentially with time.

  • A. Big Dataabase
  • B.Big Data
  • C.Big Datafile
  • D.Big DBMS

2) The size of data in Big Data is of ___________ bytes.

  • A. Terra
  • B.Mega
  • C.Giga
  • D.Peta

3) What are the 7 V's of big data?

  • A. Volume, Velocity
  • B.Variety, Variability
  • C.Veracity, Visualization, and Value.
  • D.All of the above

4) There are _______ forms of Big Data.

  • A. 3
  • B.5
  • C.7
  • D.9

5) Which company developed Apache Kafka?

  • A. Google
  • B.LinkedIn
  • C.Amazon
  • D.Microsoft

6) In which year Apache Kafka was developed ?

  • A. 2011
  • B.2012
  • C.2009
  • D.2014

7) The types of Big Data are _________.

  • A. Structured Data
  • B.Semi-Structured Data
  • C.Unstructured Data
  • D.All of the above

8) Facebook Tackles Big Data With _______

  • A. Prism
  • B.Prism Data
  • C.Project Prism
  • D.None of the above

9) ________ is general-purpose computing model and runtime system for distributed data analytics.

  • A. MapReduce
  • B.Oozie
  • C.Drill
  • D.None of the above

10) The unit of data that flows through a Flume agent is ________ .

  • A. Low
  • B.Event
  • C.Drill
  • D.None of the above

11) ________ has the world’s largest Hadoop cluster.

  • A. Google
  • B.LinkedIn
  • C.Facebook
  • D.IBM

12) _________ splits the gap between structured and unstructured data, which, using the right datasets, can make it a huge asset.

  • A. Structured Data
  • B.Unstructured Data
  • C.Semi-structured Data
  • D.None of the above

13) Big Data Analysis performs the following except ____________.

  • A. Collects data
  • B.Analyzes data
  • C.Spreads data
  • D.None of the above

14) The primary characteristics of Big Data are ________

  • A. Volume
  • B.Variety
  • C.Value
  • D.All of the above

15) Which among the following is not a Big Data technology ____________.

  • A. Hadoop Ecosystem
  • B.Data Lakes
  • C.R Programming
  • D.None of the above

16) Hadoop was named after __________.

  • A. The toy elephant of Cutting’s son
  • B.Cuttings high school rock band
  • C.Both A and B
  • D.None of the above

17) Do Hadoop need specialized hardware to process the data?

  • A. Yes
  • B.No
  • C.May be
  • D.Can't say

18) Application of Big Data is __________.

  • A. Education
  • B.Banking and Securities
  • C.Insurance
  • D.All of the above

19) Real World Big Data Examples are ________.

  • A. Personalized marketing
  • B.Streamlined media streaming
  • C.Both A and B
  • D.All of the above

20) Is Qubole a Big data tool ?

  • A. Yes
  • B.No
  • C.May be
  • D.Can't say

21) Big Data Analytics software is widely used in providing meaningful analysis of a large set of data.

  • A. True
  • B.False

22) __________ is a data processing framework in Big Data that can quickly perform processing tasks on very large data sets.

  • A. Apache Cassandra
  • B.Apache Spark
  • C.Both A and B
  • D.Apache Spark

23) Advantages of Big Data are _______.

  • A. Big data analysis derives innovative solutions.
  • B.Big data analysis helps in understanding and targeting customers.
  • C.It helps in optimizing business processes.
  • D.All of the above

24) Disadvantages of Big Data are ________.

  • A. Lots of big data is unstructured.
  • B.It can be used for manipulation of customer records.
  • C.Big data analysis violates principles of privacy.
  • D.All of the above

25) Big data is different than "Business Intelligence" and "data mining" in terms of data volume, number of transactions and number of data sources are very big and complex.

  • A. True
  • B.False

26) The examples of Big Data are _________.

  • A. stock exchanges
  • B.jet engines
  • C.social media sites
  • D.All of the above

27) Customer data can be collected by __________.

  • A. Big Data
  • B.SQL
  • C.Cassandra
  • D.None of the above

28) The majority of big data experts agree that the amount of generated data will be growing exponentially in the future.

  • A. Yes
  • B.No
  • C.May be
  • D.Can't say

29) IDC forecasts the global datasphere will reach 175 zettabytes by 2025.

  • A. True
  • B.False

30) Due to Big Data, new, innovative, and cost-effective technologies are constantly emerging and improving.

  • A. True
  • B.False

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