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

Question # 2

What type of data involves distinct, separate values that are countable?

Question # 3

Which of the following is an example of qualitative data?

Question # 4

What is the primary purpose of data visualization in data sciecne?

Question # 5

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

Question # 6

------------ is limitation of big data.

Question # 7

What is the types of data is used to categorize items without implying any order.

Question # 8

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

Question # 9

What does data encryption do?

Question # 10

What is the main purpose of data collection ?

Question # 11

Which tool can be used to create surveys online?

Question # 12

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

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

Sr.# Question Answer
1 Which of the following is an example of interval scaled attribute.
A. Age
B. Weight
C. Temperature in Celsius
D. Hight
2 What type of data involves distinct, separate values that are countable?
A. Nominal data
B. Discrete Data
C. Continous data
D. Ordinal Data
3 ------include the dtat which can only take certain values and cannot be further subdivided into smaller units.
A. Ordinal Data
B. Referral data
C. Statitical data
D. Referral data
4 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
5 What is the primary purpose of data visualization in data sciecne?
A. Data Collection
B. Data modeling
C. Extracting insights
D. Data exploration
6 Which programming language is commonly used for bign data analytics and machine learning tasks.
A. Java
B. C++
C. Phyton
D. Ruby
7 ------------ is limitation of big data.
A. Statistical data
B. Unlimited growth of data
C. Data visualiztion
D. Predictive maintence
8 Which of the following is not one of the characteristics of bign data.
A. Veracity
B. Validity
C. Volume
D. Velocity
9 Which big data technlogy is commonly used to store and preocess large datasets in a distributed manner?
A. SQL databases
B. Relational databases
C. Hadoop
D. Data warehouses
10 What is the types of data is used to categorize items without implying any order.
A. Ordinal data
B. Discrete Data
C. Nominal Data
D. Continous Data

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