9th Class Computer Science Chapter 9 English Medium Online MCQ Test With Answer

MCQ's Test For Data Science and Data Gathering

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Data Science and Data Gathering

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Question # 1

What is the main purpose of data collection ?

Question # 2

What is the role of domain knowledge in data sciecne.

Question # 3

What is the primary challenge associated with traditional data processing techniques when dealing with big data.

Question # 4

Which of the following key concepts involves transforming raw data into a structured format that is suitable fof analyis.

Question # 5

What does the volume characteristic of big data refer to.

Question # 6

Which of the following best describes the concept of big data.

Question # 7

What is an outlier in a dataset.

Question # 8

What is data

Question # 9

Which programming language is commonly used for bign data analytics and machine learning tasks.

Question # 10

-------is the fast rate at which data is received and acted on.

Question # 11

Which of the following is not one of the characteristics of bign data.

Question # 12

------------refer to the process of carefully examining and studing data to identify patterns, draw conculsios, or make the data meaningful

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Sr.# Question Answer
1 What is the primay purpose of data preprocessing in big data analytics.
A. To increase data storage costs
B. To prepare raw data for analysis
C. To eliminate the need for data visualization
D. To reduce the volume of data
2 What is the role of domain knowledge in data sciecne.
A. writing code for data analysis
B. Visualizing data
C. Understanding the specific context of data
D. conducting staticial tests
3 Which of the following key concepts involves transforming raw data into a structured format that is suitable fof analyis.
A. Data ethics
B. Data modeling
C. Data exploration
D. Data collection
4 ------------refer to the process of carefully examining and studing data to identify patterns, draw conculsios, or make the data meaningful
A. Data analytics
B. Daa predictions
C. Data set
D. Data base
5 Which of the following is an example of interval scaled attribute.
A. Age
B. Weight
C. Temperature in Celsius
D. Hight
6 How does data sciecne add value to bing data.
A. By creating more data
B. By extracting insights and predictions from data
C. By making data storage more efficient
D. By ensuring data quality and consistency
7 --------- is a structured or processsed collection of data usually associated with a unique body of work
A. Dataset
B. Data base
C. Data and information
D. Information
8 Which type of data attibute represents categories with a specific order but inconsistent intervals between them?
A. Nominal
B. Binary
C. Ordinal
D. Interval
9 In the context of bign data what does the 3 Vs refer to?
A. Varacity velocity, veracity
B. Variety, velocity, volume
C. Volume, value, velocity
D. Validity, variety, volume
10 Which of the following is an example of qualitative data?
A. Temperature readings in degrees Celsius
B. Number of students in a class
C. Favourite ice cream flavours
D. Test scores out of 100

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