Computer 9th Chap 4 : Topic 2.23 - Maryam Publications

Computer Chapter 4 : Topic 2.23

Types of Data

1 / 15

A database stores student records in rows and columns with fixed fields such as ID, name, and marks. What type of data is this?

A) Unstructured data

B) Random data

C) Structured data

D) Qualitative data

2 / 15

A collection of social media posts containing text, images, and videos is best classified as:

A) Quantitative data

B) Unstructured data

C) Tabular data

D) Structured data

3 / 15

Which of the following is the best example of quantitative data?

A) Comments written in a survey

B) Colors of cars in a parking lot

C) Heights of students measured in centimeters

D) Student opinions about school facilities

4 / 15

Customer reviews such as “excellent service” or “poor experience” are examples of:

A) Numerical data

B) Structured data

C) Quantitative data

D) Qualitative data

5 / 15

Why is structured data easier to analyze using machine learning algorithms compared to unstructured data?

A) It is organized in a consistent format that machines can process easily

B) It contains random noise

C) It cannot be stored in databases

D) It has no labels or meaning

6 / 15

A dataset contains audio recordings of customer calls. This type of data is classified as:

A) Tabular data only

B) Quantitative data

C) Structured data

D) Unstructured data

7 / 15

Which statement best distinguishes quantitative data from qualitative data?

A) Quantitative data is descriptive, qualitative is numerical

B) Both are always unstructured

C) Both are always structured

D) Quantitative data is numerical, qualitative describes characteristics or categories

8 / 15

A dataset contains student grades such as A, B, C, and D. This type of data is:

A) Qualitative data

B) Structured numerical data

C) Continuous data only

D) Quantitative data

9 / 15

Why is unstructured data considered more difficult to analyze?

A) It lacks a fixed format or organization

B) It contains only numbers

C) It cannot be stored in computers

D) It is always too small

10 / 15

A dataset contains temperature readings recorded every hour. What type of data is this?

A) Qualitative data

B) Structured qualitative data

C) Unstructured data

D) Quantitative data

11 / 15

Which of the following best describes structured data in a machine learning context?

A) Handwritten notes without scanning

B) Data organized in databases with rows and columns

C) Random images and videos without format

D) Spoken conversations without transcription

12 / 15

Why is qualitative data important in data analysis despite not being numerical?

A) It provides insights into opinions, behavior, and context

B) It replaces all numerical data

C) It always increases storage size

D) It eliminates the need for databases

13 / 15

A machine learning model analyzing structured data is more efficient because:

A) The data is unpredictable

B) The data is always incomplete

C) The data is always unlabelled

D) The data follows a consistent schema

14 / 15

Which scenario best represents both quantitative and qualitative data together?

A) A list of numbers only

B) A survey containing ratings (1-5) and written feedback

C) A table with only text categories

D) A folder containing images only

15 / 15

Why is unstructured data increasingly important in modern computing systems?

A) It reduces internet speed

B) It contains valuable real-world information like images, videos, and text

C) It cannot be used in AI systems

D) It replaces all structured databases

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