Live Education Quiz

1. What is the main purpose of data analysis?

A To delete data

B To organize information

C To extract useful patterns

D To store data

2. Which of the following is the best example of qualitative data?

A Marks obtained

B Student height

C Student name

D Age

3. What is data?

A Processed information

B Raw facts and figures

C Computer program

D Output of analysis

4. Which tool is commonly used for data analysis at basic level?

A Paint

B Calculator

C Spreadsheet

D Browser

5. Which is an example of structured data?

A Emails

B Images

C Database records

D Videos

6. In the context of Big Data, what does the characteristic 'Variety' refer to?

A The speed at which data is created and processed.

B The huge quantity or amount of data.

C The different forms of data, such as text, images, and videos.

D The trustworthiness and quality of the data.

7. Which is a common source of Big Data?

A Typewriters

B Social media

C Handwritten notes

D Printed books

8. What is the first step in data analysis?

A Decision making

B Data collection

C Data deletion

D Reporting

9. What are the raw, unprocessed facts and figures collected from different sources called?

A Information

B Data

C Knowledge

D Analysis

10. Which data type has some organizational properties but does not fit into a rigid relational model? Examples include XML and JSON files.

A Structured data

B Unstructured data

C Raw data

D Semi-structured data

11. Which of the following is numeric data?

A Name of city

B Roll number

C Gender

D Color

12. Which characteristic of Big Data refers to the enormous size of the dataset?

A Velocity

B Variety

C Veracity

D Volume

13. Which of the following best describes information?

A Unprocessed data

B Meaningless facts

C Processed and organized data

D Random numbers

14. Why is Big Data important?

A It wastes time

B It increases paperwork

C It helps in better decision making

D It deletes information

15. Which factor is NOT a characteristic of Big Data?

A Volume

B Velocity

C Variety

D Simplicity

16. What do we call data represented in numbers?

A Qualitative data

B Quantitative data

C Descriptive data

D Unstructured data

17. What does Volume in Big Data mean?

A Speed of data

B Type of data

C Amount of data

D Accuracy of data

18. Which of the following is quantitative data?

A Color

B Weight

C Type

D Name

19. Data that is descriptive and represents categories, such as gender or city names, is called:

A Quantitative data

B Qualitative data

C Numerical data

D Time-series data

20. Which of the following is an example of Big Data velocity?

A Stored files

B Archived records

C Live streaming data

D Old documents

21. Which device generates large amounts of data?

A Chalk

B Smartphone

C Notebook

D Blackboard

22. Which of the '3 Vs' of Big Data refers to the different forms of data, such as text, images, and videos?

A Volume

B Variety

C Velocity

D Veracity

23. Which characteristic ensures data accuracy?

A Volume

B Velocity

C Variety

D Veracity

24. Which field mainly uses data analysis?

A Painting

B Sports only

C Data Science

D Poetry

25. What type of data includes videos and images?

A Structured

B Numeric

C Unstructured

D Tabular

26. Data that is organized in a fixed format, typically in rows and columns like in a database table, is known as:

A Structured data

B Unstructured data

C Semi-structured data

D Raw data

27. Which of the '3Vs' of Big Data refers to the speed at which new data is generated and processed?

A Volume

B Variety

C Veracity

D Velocity

28. Which sector uses Big Data extensively?

A Healthcare

B Education

C Banking

D All of these

29. In the context of Big Data, what does 'Velocity' refer to?

A The size of the dataset

B The different types of data

C The speed at which data is generated and processed

D The accuracy of the data

30. Which of the following is an example of semi-structured data?

A Relational database

B Plain text

C XML file

D Image file

Unit 4: Data and Analysis

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