Computer 9th Chap 4 : Topic 3.8 - Maryam Publications

Computer Chapter 4 : Topic 3.8

Data Science and Big Data

1 / 7

A business collects massive amounts of customer data, but meaningful insights are obtained only after analysis. How does data science create value from such big data?

A) By converting raw data into useful insights and knowledge

B) By storing data without examining it

C) By reducing the amount of collected information

D) By deleting unnecessary records immediately

2 / 7

A retail company uses data science techniques to identify customer purchasing patterns from millions of transactions. What value is primarily gained through this process?

A) Elimination of business competition

B) Reduced need for data collection

C) Better understanding of customer behavior

D) Increased hardware requirements only

3 / 7

A company analyzes historical sales data to estimate future product demand before manufacturing begins. Which role of data science is being demonstrated?

A) Data compression

B) Data duplication

C) Predictive analysis

D) Data formatting

4 / 7

Why is data science considered essential when organizations deal with extremely large and complex datasets?

A) It permanently replaces data storage systems

B) It reduces the importance of decision-making

C) It transforms large amounts of data into actionable business information

D) It prevents businesses from collecting new data

5 / 7

A streaming service studies users' viewing habits and recommends movies based on their interests. How is data science creating value in this situation?

A) By improving personalized customer experiences

B) By removing historical records permanently

C) By increasing storage costs unnecessarily

D) By reducing customer choices

6 / 7

Which activity best represents how data science extracts value from big data in a business environment?

A) Replacing all employees with computers

B) Increasing the number of files stored on servers

C) Reducing the amount of available information

D) Discovering hidden patterns and trends that support better decisions

7 / 7

What is the primary goal of applying data science techniques to big data collected from various sources within an organization?

A) To prevent future data collection activities

B) To increase the complexity of information systems

C) To store data without analyzing it

D) To generate useful insights that improve decision-making and business performance

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