MCQs — Data and Analysis

Practice questions for Computer Science.

Question 41

The colours of cars in a parking lot (red, blue, white) are which type of data?

A. Ordinal data
B. Nominal data
C. Discrete data
D. Ratio data
Question 42

The number of books in a school library is which type of data?

A. Discrete data
B. Continuous data
C. Nominal data
D. Ordinal data
Question 43

Students' heights recorded as 150.5 cm and 162.3 cm are which type of data?

A. Discrete data
B. Nominal data
C. Continuous data
D. Ordinal data
Question 44

Customer feedback recorded as Poor, Average, Good or Excellent is which type of data?

A. Nominal data
B. Interval data
C. Ratio data
D. Ordinal data
Question 45

A teacher gives a test to her own class and records the marks. These marks are:

A. Secondary data
B. Nominal data
C. Primary data
D. Metadata
Question 46

A student downloads a government dataset of population figures for a project. This is:

A. Secondary data
B. Primary data
C. Ordinal data
D. Nominal data
Question 47

Which pair correctly matches data with its type?

A. Eye colour – Ordinal data
B. Weight in kg – Ratio data
C. Number of siblings – Continuous data
D. T-shirt size (S, M, L) – Nominal data
Question 48

A company must store details of one million customers so they can be searched, updated and secured quickly. Which is the most suitable option?

A. A handwritten register
B. A sticky note
C. A loose paper file
D. A database
Question 49

Big data refers to:

A. Data stored only on paper
B. Extremely large and complex datasets that traditional tools cannot handle easily
C. A small dataset in a spreadsheet
D. Data used only in calculators
Question 50

What are the three Vs of big data?

A. Value, Vision and Victory
B. Video, Voice and Visual
C. Virus, Vector and Vault
D. Volume, Velocity and Variety
Question 51

In big data, 'Volume' refers to:

A. The speed of data generation
B. The types of data
C. The amount or size of data
D. The accuracy of data
Question 52

The rapid growth of big data since the 2000s is mainly due to:

A. The rise of the internet, social media and smart devices
B. The invention of the typewriter
C. The decline of computers
D. The end of digital storage
Question 53

Which V describes text, images, audio and video all appearing in one dataset?

A. Volume
B. Velocity
C. Vault
D. Variety
Question 54

Why can traditional tools not easily handle big data?

A. Its size, speed and variety exceed their capacity
B. Big data has no value
C. Big data is always small
D. Big data contains no numbers
Question 55

How does big data help businesses?

A. It removes the need for customers
B. It guarantees profit
C. It reveals customer trends that support better decisions
D. It makes decision-making slower
Question 56

Why is data privacy a challenge in big data?

A. Big data never contains personal data
B. Large amounts of personal data can be misused if not protected
C. Privacy has no link with data
D. Large data automatically protects itself
Question 57

Why does big data need special storage such as cloud systems?

A. It is very small
B. It cannot be stored digitally
C. Its huge volume cannot fit in ordinary storage systems
D. It must be kept on paper
Question 58

Why is data quality a challenge in big data?

A. All big data is always perfect
B. Data comes from many sources and may be incomplete or inaccurate
C. Big data has no sources
D. Quality matters only for small data
Question 59

A traffic app must process live location updates within seconds of receiving them. Which V of big data is most important here?

A. Volume
B. Variety
C. Vault
D. Velocity
Question 60

A bank studies millions of transactions to spot unusual activity and prevent fraud. This shows which benefit of big data?

A. Better decision-making and fraud detection
B. Slower processing
C. Fewer customers
D. Lower data quality

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📌 MCQs — FAQs

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