1 What is often the first step in the Data Science Life Cycle? A Data Acquisition (getting the data). B Building a website for the data. C Selling the final results. D Presenting the conclusion.
3 What is the main benefit of data science? A Increased typing speed B Better decision making C More storage usage D Hardware improvement
4 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.
5 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.
6 Which visualization is best for showing frequency distribution? A Histogram B Pie chart C Line chart D Map
7 What does qualitative data describe? A Numbers only B Measurements C Qualities or characteristics D Calculations
8 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
10 What does a bar chart display? A Trends over time B Categories and values C Geographic data D Random data
11 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.
12 Which stage involves interpreting results? A Data collection B Data cleaning C Data analysis D Data storage
13 Data that has been collected but has not been processed or cleaned is called: A Final Data B Clean Data C Useful Data D Raw Data
14 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.
15 Which of the following is not a stage of data science life cycle? A Data collection B Data cleaning C Hardware installation D Data analysis
16 What is the main purpose of Data Visualization? A To make data more complicated. B To hide the important facts in data. C To use as many colors as possible. D To help understand trends and patterns easily.
17 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
18 What is the final stage of the data science life cycle where the results are shared with others? A Data Acquisition B Data Preparation C Communication / Visualization D Asking a question
19 What is the first stage of the data science life cycle? A Data visualization B Data collection C Model deployment D Data cleaning
20 Which life cycle stage checks data accuracy? A Data collection B Data cleaning C Data visualization D Decision making