1.
What is the ultimate goal of analyzing data in data science?
A
To create colourful charts.
B
To make better decisions.
C
To collect as much data as possible.
D
To write long reports.
2.
What does qualitative data describe?
A
Numbers only
B
Measurements
C
Qualities or characteristics
D
Calculations
3.
What is the final stage of the data science life cycle?
A
Data collection
B
Data cleaning
C
Decision making or deployment
D
Data visualization
4.
What is the main role of a data scientist?
A
To repair computer hardware.
B
To design computer motherboards.
C
To analyze data and find useful insights.
D
To manage the school's computer lab.
5.
What is raw data?
A
Processed information
B
Final results
C
Unprocessed facts
D
Graphs and charts
6.
A map showing the population in different cities of a country is an example of:
A
Data Visualization.
B
A text document.
C
A computer program.
D
A spreadsheet formula.
7.
The process of removing errors and inconsistencies from data is called?
A
Data Cleaning.
B
Data Collection.
C
Data Modeling.
D
Data Visualization.
8.
Which step converts raw data into useful information?
A
Data cleaning
B
Data analysis
C
Data storage
D
Data collection
9.
What is data science mainly concerned with?
A
Writing computer games
B
Extracting knowledge from data
C
Repairing hardware
D
Designing websites
10.
Which life cycle stage checks data accuracy?
A
Data collection
B
Data cleaning
C
Data visualization
D
Decision making
11.
What does a bar chart display?
A
Trends over time
B
Categories and values
C
Geographic data
D
Random data
12.
Which software is commonly used for basic data visualization?
A
Spreadsheet software
B
Operating system
C
Antivirus software
D
Compiler
13.
Which step helps stakeholders understand results easily?
A
Data visualization
B
Data collection
C
Data cleaning
D
Data storage
14.
Which chart is best for showing parts of a whole, like the percentage of students who like different fruits?
A
Line chart
B
Scatter plot
C
Flowchart
D
Pie chart
15.
Which stage of the Data Science Life Cycle involves presenting the findings to others?
A
Data Acquisition.
B
Data Preparation.
C
Model Building.
D
Communication.
16.
Which of the following is an example of data?
A
Student marks list
B
Final report
C
Decision
D
Conclusion
17.
What kind of chart uses dots to show data points?
A
Bar chart
B
Line chart
C
Scatter plot
D
Pie chart
18.
Which of the following is the first step in the Data Science Life Cycle?
A
Building a model.
B
Collecting data.
C
Visualizing data.
D
Cleaning data.
19.
Which chart is most suitable for continuous data?
A
Line chart
B
Pie chart
C
Bar chart
D
Table
20.
Which field combines statistics, programming, and domain knowledge?
A
Networking
B
Web development
C
Data science
D
Cyber security
21.
Which of the following is a source of data?
A
Survey
B
Printer
C
Monitor
D
Speaker
22.
Which stage uses charts and graphs?
A
Data cleaning
B
Data visualization
C
Data collection
D
Data storage
23.
What is the first stage of the data science life cycle?
A
Data visualization
B
Data collection
C
Model deployment
D
Data cleaning
24.
What is meant by data analysis?
A
Collecting data
B
Storing data
C
Examining data to draw conclusions
D
Deleting data
25.
The process of cleaning and organizing raw data to make it suitable for analysis is called:
A
Data Deletion.
B
Data Preparation.
C
Data Guessing.
D
Data Hiding.
26.
Which visualization helps identify relationships between variables?
A
Pie chart
B
Bar chart
C
Scatter plot
D
Table
27.
Why is data cleaning necessary?
A
To add errors
B
To improve data quality
C
To increase file size
D
To slow processing
28.
In which stage of the data science life cycle are models built to find patterns?
A
Data Analysis
B
Data Collection
C
Problem Definition
D
Data Deletion
29.
Which skill is essential for a data scientist?
A
Drawing skills
B
Statistical analysis
C
Hardware repair
D
Typing speed
30.
A chart that shows data as a circle divided into slices is called a...?
A
Line graph.
B
Bar chart.
C
Pie chart.
D
Flowchart.
31.
Which chart is best for showing trends over time?
A
Pie chart
B
Line chart
C
Bar chart
D
Table
32.
What is the main benefit of data science?
A
Increased typing speed
B
Better decision making
C
More storage usage
D
Hardware improvement
33.
Which visualization is best for comparing percentages?
A
Pie chart
B
Line chart
C
Scatter plot
D
Histogram
34.
What does a pie chart mainly show?
A
Exact values
B
Parts of a whole
C
Trends
D
Relationships
35.
What is Data Science?
A
The art of drawing pictures on a computer.
B
The process of building computer hardware.
C
The study of data to find useful information and patterns.
D
The process of creating animations and games.
36.
What is the main goal of data analysis?
A
To design hardware
B
To find patterns and insights
C
To type documents
D
To send emails
37.
Which of the following is a common way to visually represent data?
A
Writing a long paragraph.
B
Creating a bar chart.
C
Recording an audio file.
D
Sending a text message.
38.
What is Data Science mainly about?
A
Getting knowledge and insights from data.
B
Creating computer hardware.
C
Designing websites.
D
Writing computer programs only.
39.
What is the purpose of decision making in data science?
A
To collect more data
B
To take actions based on insights
C
To clean data
D
To visualize data
40.
Which stage involves removing errors and inconsistencies from data?
A
Data collection
B
Data cleaning
C
Data visualization
D
Data storage