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1 : 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
2 : What type of data involves distinct, separate values that are countable?
A
:
Nominal Data
B
:
Ordinal Data
C
:
Discrete Data
D
:
Continuous Data
3 : What is an example of continuous data?
A
:
Number of cars in a parking lot
B
:
Height of students in centimetres
C
:
Types of fruits
D
:
Shirt sizes (small, medium, large)
4 : What is the main purpose of data collection?
A
:
To create random numbers
B
:
To gather information to answer questions or make decisions
C
:
To delete old data
D
:
To format text documents
5 : What is data?
A
:
Processed information
B
:
Raw facts gathered about things
C
:
A collection of numbers only
D
:
A list of observed events
6 : Which tool is specifically designed for creating detailed and interactive visualizations?
A
:
Microsoft Excel
B
:
Google Sheets
C
:
Tableau
D
:
PowerPoint
7 : How can you organise data to make it easier to analyse?
A
:
By writing it in long paragraphs
B
:
By creating tables, charts, and graphs
C
:
By storing it in random files
D
:
By keeping it in a messy notebook
8 : What type of data is used to categorize items without implying any order?
A
:
Ordinal Data
B
:
Discrete Data
C
:
Nominal Data
D
:
Continuous Data
9 : What is the first step in the data science process?
A
:
Data Cleaning
B
:
Data Analysis
C
:
Data Collection
D
:
Understanding the problem
10 : Which tool can be used to create surveys online?
A
:
Microsoft Word
B
:
Google Forms
C
:
Excel Spreadsheets
D
:
Adobe Photoshop
11 : What is the primary purpose of data visualization?
A
:
To generate random numbers
B
:
To convert text into data
C
:
To make data easier to understand by turning it into pictures
D
:
To hide complex data
12 : 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
13 : What is an outlier in a dataset?
A
:
The most frequent value
B
:
The average of all values
C
:
An unusual or extreme value that doesn't fit the pattern
D
:
The middle value when all values are arranged in order
14 : What does data encryption do?
A
:
It converts data into a code to prevent unauthorized access.
B
:
It makes data available to everyone online.
C
:
It automatically deletes old data.
D
:
It speeds up internet connection.
15 : How many types of data analysis are available?
A
:
1
B
:
2
C
:
3
D
:
4
16 : Which statistical measure provides central tendency?
A
:
Standard deviation
B
:
Variance
C
:
Mean
D
:
Range
17 : What is the primary function of data collection?
A
:
Data analysis
B
:
Data storage
C
:
Data generation
D
:
Data acquisition
18 : Which is NOT a characteristic of big data?
A
:
Veracity
B
:
Velocity
C
:
Validity
D
:
Volume
19 : Which industry relies on IoT for supply chain optimization?
A
:
Healthcare
B
:
Finance
C
:
Retail
D
:
Education
20 : Common language for big data analytics?
A
:
Java
B
:
Python
C
:
C++
D
:
Ruby
21 : How does data science add value to big data?
A
:
Creating more data
B
:
Making storage efficient
C
:
Extracting insights and predictions
D
:
Ensuring data quality
22 : Method of collecting information from individuals?
A
:
Survey
B
:
Data scraping
C
:
Data mining
D
:
Data synthesis
23 : Which technology stores/processes large distributed datasets?
A
:
SQL databases
B
:
Hadoop
C
:
Relational databases
D
:
Excel
24 : Customer satisfaction levels are what data type?
A
:
Ordinal data
B
:
Continuous data
C
:
Numerical data
D
:
Ratio data
25 : What is the primary purpose of data visualization?
A
:
Data collection
B
:
Data exploration
C
:
Extracting insights
D
:
Data modeling
26 : Which is an interval scaled attribute?
A
:
Age
B
:
Temperature in Celsius
C
:
Height
D
:
Weight
27 : Key application of big data in business?
A
:
Social media management
B
:
Customer behavior analysis
C
:
Weather forecasting
D
:
Artistic creativity
28 : What do the 3Vs of big data refer to?
A
:
Veracity, Velocity, Variety
B
:
Volume, Value, Velocity
C
:
Validity, Variety, Volume
D
:
Volume, Velocity, Variety
29 : What transforms raw data into structured format?
A
:
Data modeling
B
:
Data preprocessing
C
:
Data collection
D
:
Data ethics
30 : Data that can only take certain values is?
A
:
Continuous data
B
:
Discrete data
C
:
Ordinal data
D
:
Interval data
31 : Limitation of big data?
A
:
Unlimited growth
B
:
Data privacy concerns
C
:
Data visualization
D
:
Predictive maintenance
32 : Which data attribute has ordered categories with inconsistent intervals?
A
:
Nominal
B
:
Binary
C
:
Ordinal
D
:
Interval
33 : What best describes big data?
A
:
Data stored in traditional databases
B
:
High volume, velocity, and variety data
C
:
Small datasets
D
:
Only social media data
34 : Fast rate of data reception is called?
A
:
Volume
B
:
Velocity
C
:
Variety
D
:
Veracity
35 : Graphical data representation is called?
A
:
Data cleaning
B
:
Data visualization
C
:
Data transformation
D
:
Data annotation
36 : Examining data to identify patterns is called?
A
:
Data analytics
B
:
Data predictions
C
:
Data mining
D
:
Data modeling
37 : A structured collection of data associated with work is called?
A
:
Database
B
:
Dataset
C
:
Data warehouse
D
:
Data lake
38 : Primary challenge with traditional data processing for big data?
A
:
Lack of storage
B
:
Slow processing speed
C
:
Inability to handle diverse/large data
D
:
High cost
Computer 9th MCQs || Ilam Ghar
Computer 9th
Chapter 9 : Data science and data gathering