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 purpose of data visualization in data sciecne?

Question # 2

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

Question # 3

How does data sciecne add value to bing data.

Question # 4

Which of the following is an example of interval scaled attribute.

Question # 5

Whcih tool is specifically designed for creatin detailed nd interactive visualizations?

Question # 6

What is the role of domain knowledge in data sciecne.

Question # 7

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

Question # 8

How many types of data analysis are availabe?

Question # 9

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

Question # 10

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

Question # 11

--------- is a structured or processsed collection of data usually associated with a unique body of work

Question # 12

Which statistical measure provides a measure of the central tendency of a dataset.

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

Sr.# Question Answer
1 How can you organize data to make it easier to analyse.
A. By keeping it in a messy notebook
B. By creating tables, charts, and graphs
C. By writing it in long paragraphs
D. By storing it in random files
2 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
3 Which is one of the key applicatins of big data in business.
A. Artistic creativity
B. Weather foreacing
C. Customer behavior analysis
D. Social media management
4 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
5 What is the primary challenge associated with traditional data processing techniques when dealing with big data.
A. Lack of storage capacity
B. Limited availability of data visualization tools
C. Inability to handle diverse data types and large volumes
D. Slow processing speed
6 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
7 What is the primary purpose of data visualization in data sciecne?
A. Data Collection
B. Data modeling
C. Extracting insights
D. Data exploration
8 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
9 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
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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