Practice
Resources
Contests
Online IDE
New
Free Mock
Events New Scaler
Practice
Improve your coding skills with our resources
Contests
Compete in popular contests with top coders
logo
Events
Attend free live masterclass hosted by top tech professionals
New
Scaler
Explore Offerings by SCALER
/ Interview Guides / Big Data MCQ

Big Data MCQ

Last Updated: Aug 17, 2023
Certificate included
About the Speaker
What will you Learn?
Register Now

Big data is a field that treats ways to analyze systematically extract information from or otherwise deal with data sets. Data can be large or complex to be dealt with by traditional data processing applications software

  • A large amount of data
  • It is a popular term used to express the exponential growth of data.
  • Big data is difficult to store, collect, maintain, analyze and visualize.

Distributed file system: Distributed file system is a file system in which data is stored on a server. The data is accessed and processed as if it were stored on the local client machine.

 Characteristics of distributed file system:

  • Transparency
  • user mobility
  • Performance
  • simplicity and ease of use
  • Scalability
  • high availability
  • high reliability

Big data tools: Apache Hadoop,  Apache Storm, Cassandra,  Mongo DB, Neo4j.

Big data sources:  Amazon,  Redshift,  Mongo DB

Challenges of big data:

  • Uncertainty of data management
  • The talent gap in big data
  • Getting data into a big data structure
  • Synchronizing across data sources
  • Integration

Benefits of big data:

  • Cost
  • Time reduction
  • Speeding up decision making
  • Analyze in real-time
  • Model and Test variation

Characteristics of big data:

  • Volume
  • Velocity
  • Variety

Types of big data:

  • Structured
  • unstructured
  • Semi-structured
  • hybrid

Use cases of big data

  • Recommendation engine
  • Analyzing call detail records
  • Fraud detection
  • Market  basket analysis
  • sentiment analysis

BIG Data MCQs

Crack your next tech interview with confidence!
Take a free mock interview, get instant⚡️ feedback and recommendation💡
Explore free masterclasses from our top instructors
Live Masterclass
Taught by top industry experts
Access to learning material
No More Events to show!
No More Events to show!
No More Events to show!
No More Events to show!
Certificate included
About the Speaker
What will you Learn?
Register Now
View All
1. 

What are the main components of big data?

2. 

On which of the following platforms does Hadoop run?

3. 

Data in ____ bytes size is called big data

4. 

Transaction of data of the bank is a type of.

5. 

The total forms of big data is ____

6. 

Identify the incorrect big data Technologies.

7. 

In which language is Hadoop written?

8. 

___________ is a collection of data that is used in volume, yet growing exponentially with time

9. 

Identify among the options below which is general-purpose computing model and runtime system for Distributed Data Analytics.

10. 

Choose the primary characteristics of big data among the following

11. 

Identify whether true or false: Qubole Is a big data tool.

12. 

Choose the languages which are used in data science.

13. 

Which of the following is not a part of the data science process.

14. 

Identify the different features of Big Data Analytics.

15. 

Total V’s of big data is ____

16. 

Among the following options choose the one which depicts the correct reason why big data analysis is difficult to optimize.

17. 

All of the following accurately describe Hadoop, except

18. 

Which of the following are the Benefits of Big Data Processing?

19. 

Big data analysis does the following except?

20. 

Which of the following is true about big data?

21. 

Which of the following can be generally used to clean and prepare big data.

22. 

Identify the operation which can be performed in the data warehouse.

23. 

Among the following options which component deals with ingesting streaming data into Hadoop?

24. 

Among the following option which of the following property gets configured on mapred-site.xml

25. 

Mapper class is

26. 

Among the following which does the Job control in Hadoop?

27. 

Identify the term used to define the multidimensional model of the data warehouse.

28. 

Fixed-size pieces of MapReduce job is known as ________

29. 

The output of map tasks is written in?

30. 

What is the time horizon in the data warehouse?

31. 

Where can the data be updated?

32. 

Hadoop Common Package contains?

33. 

Small logical units where data warehouses hold large amounts of data is known as _____.

34. 

Choose the incorrect property of the data warehouse.

35. 

Identify the slave node among the following.

36. 

What is the source of all data warehouse data known as?

37. 

Fact tables are _______

38. 

Identify the correct definition of Reconciled data.

39. 

Identify the node which acts as a checkpoint node in HDFS.

40. 

Identify the most common source of change data in refreshing a data warehouse.

41. 

DSS in data warehouse stands for __________

42. 

________ is data about data.

43. 

How many approaches are there in data warehousing to integrate heterogeneous databases?

44. 

Identify the correct options which are considered before investing in data mining

45. 

Efficiency and scalability of data mining algorithms" issues come under?

46. 

Identify among the following for which system of data warehousing is mostly used.

47. 

What is the use of data cleaning?

48. 

What is the minimum amount of data that a disk can read or write in HDFS?

Scaler Courses
Why Scaler Premium?
Premium
Explore Scaler Premium Program and unlock a world of benefits
We have received your request. Someone from our team will soon connect with you
Structured Curriculum
Experience expert-led learning with our industry-proven curriculum
1:1 Mentorship Sessions
Learn from industry experts with our personalised 1:1 Mentorship
Career Support
We're dedicated to helping you achieve your career goals
Excel at your interview with Masterclasses Know More
Certificate included
What will you Learn?
Free Mock Assessment
Fill up the details for personalised experience.
Phone Number *
OTP will be sent to this number for verification
+1 *
+1
Change Number
Graduation Year *
Graduation Year *
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
2024
2025
2026
2027
2028
*Enter the expected year of graduation if you're student
Current Employer
Company Name
College you graduated from
College/University Name
Job Title
Job Title
Engineering Leadership
Software Development Engineer (Backend)
Software Development Engineer (Frontend)
Software Development Engineer (Full Stack)
Data Scientist
Android Engineer
iOS Engineer
Devops Engineer
Support Engineer
Research Engineer
Engineering Intern
QA Engineer
Co-founder
SDET
Product Manager
Product Designer
Backend Architect
Program Manager
Release Engineer
Security Leadership
Database Administrator
Data Analyst
Non Coder
Other
Please verify your phone number
Edit
Resend OTP
By clicking on Start Test, I agree to be contacted by Scaler in the future.
Already have an account? Log in
Free Mock Assessment
Instructions from Interviewbit
Start Test