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 data

Question # 2

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

Question # 3

What is the primary function of data collection in the context of data science?

Question # 4

------include the dtat which can only take certain values and cannot be further subdivided into smaller units.

Question # 5

------------- is a method of collecting information from individuals.

Question # 6

Which big data technlogy is commonly used to store and preocess large datasets in a distributed manner?

Question # 7

Customer satisfaction level such as satisfied, dissatisfied and neutral are examples of ................ data type.

Question # 8

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

Question # 9

What is an outlier in a dataset.

Question # 10

How does data sciecne add value to bing data.

Question # 11

What is the role of domain knowledge in data sciecne.

Question # 12

Which type of data attibute represents categories with a specific order but inconsistent intervals between them?

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9th Class (English Medium) Computer Science (New Book) Chapter 9 Important MCQ's

Sr.# Question Answer
1 What type of data involves distinct, separate values that are countable?
A. Nominal data
B. Discrete Data
C. Continous data
D. Ordinal Data
2 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
3 Which of the following is an example of interval scaled attribute.
A. Age
B. Weight
C. Temperature in Celsius
D. Hight
4 -------------- is the grahical represnetation of data through use of common charts, plots, infographics and animations.
A. Data cleaning
B. Missing values
C. Data visualization
D. Data hiding
5 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
6 What does the volume characteristic of big data refer to.
A. The speed at which data is generated
B. The different forms data can take
C. The sheer amount of data being collected
D. The way data is processed
7 ------------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
8 --------- 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
9 What is the example of continous data?
A. Number of cars in a parking lot
B. Height of students in centimetres
C. types of fruits
D. Shirt sizes
10 What does data encryption do?
A. It automatically delet old data
B. It speeds up internet connection
C. It converts data into a code to prevent unauthorized access
D. It makes data availabel to every one online

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