1 What is data? A Processed information B Raw facts and figures C Computer program D Output of analysis
2 Which term refers to converting data into useful information? A Data entry B Data storage C Data analysis D Data deletion
4 What is the main purpose of data analysis? A To delete data B To organize information C To extract useful patterns D To store data
6 What do we call data represented in numbers? A Qualitative data B Quantitative data C Descriptive data D Unstructured data
7 Which data type describes qualities like color or name? A Quantitative B Numerical C Qualitative D Binary
10 What type of data is stored in tables with rows and columns? A Unstructured data B Structured data C Semi-structured data D Random data
14 Which of the following is an example of semi-structured data? A Relational database B Plain text C XML file D Image file
15 What does Big Data refer to? A Small datasets B Traditional files C Very large and complex datasets D Paper records
17 What does Volume in Big Data mean? A Speed of data B Type of data C Amount of data D Accuracy of data
18 What does Velocity in Big Data describe? A Size of data B Speed of data generation C Type of data D Storage method
20 Which is a common source of Big Data? A Typewriters B Social media C Handwritten notes D Printed books
21 Which technology is commonly used to handle Big Data? A Calculator B Spreadsheet only C Big Data tools D Notebook
22 Why is Big Data important? A It wastes time B It increases paperwork C It helps in better decision making D It deletes information
24 Which of the following is an example of Big Data? A Daily attendance sheet B Student notebook C Global social media posts D Single exam result
25 What is data analysis used for in education? A Decorating classrooms B Analyzing student performance C Writing novels D Drawing charts only
26 Which of the following best describes information? A Unprocessed data B Meaningless facts C Processed and organized data D Random numbers
29 Which tool is commonly used for data analysis at basic level? A Paint B Calculator C Spreadsheet D Browser
30 What is the role of data in decision making? A No role B Creates confusion C Provides evidence D Deletes choices
31 Which of the following best defines Big Data? A Small files B Large and fast-growing data C Paper records D Personal diary
37 Which example shows data analysis? A Collecting marks B Storing files C Finding average marks D Writing notes
39 Why is unstructured data difficult to analyze? A It is small B It lacks fixed format C It is numeric D It is accurate
40 Which of the following is an example of Big Data velocity? A Stored files B Archived records C Live streaming data D Old documents
41 Which concept helps in understanding trends? A Data analysis B Data deletion C Data entry D Data backup
42 Which subject mainly studies data and analysis? A Chemistry B Biology C Computer Science D Geography
43 Which of the following is the best example of qualitative data? A Marks obtained B Student height C Student name D Age
44 What is the first step in data analysis? A Decision making B Data collection C Data deletion D Reporting
45 What are the raw, unprocessed facts and figures collected from different sources called? A Information B Data C Knowledge D Analysis
46 The process of inspecting, cleaning, transforming, and modeling data to discover useful information is known as: A Data Entry B Data Storage C Data Analysis D Data Collection
47 Which of the following is an example of quantitative data? A Eye color B Favorite food C Student's name D Height of a student in centimeters
48 When raw data is processed, organized, and structured in a given context, it becomes: A Information B A database C A query D A variable
49 In the context of Big Data, what does 'Volume' refer to? A The speed at which data is generated B The different types of data C The amount or size of the data D The accuracy of the data
50 Data that is descriptive and represents categories, such as gender or city names, is called: A Quantitative data B Qualitative data C Numerical data D Time-series data
51 Which of the '3Vs' of Big Data refers to the speed at which new data is generated and processed? A Volume B Variety C Veracity D Velocity
52 Data that is organized in a fixed format, typically in rows and columns like in a database table, is known as: A Structured data B Unstructured data C Semi-structured data D Raw data
53 Which of the following best describes Big Data? A Any data that is stored in a computer's memory. B Extremely large and complex data sets that cannot be easily managed with traditional tools. C Data that is only composed of numbers and text. D A small collection of files stored on a single server.
54 The term 'Variety' in Big Data refers to: A The different forms of data, such as text, images, audio, and videos. B The number of users accessing the data. C The financial value of the data. D The physical location of the data storage.
55 Which of the following is a common example of unstructured data? A A student's roll number in a list B A table of employee salaries C The content of an email message D A list of temperatures recorded daily
56 A company reviews its sales records to identify the most popular products among customers. This activity is an example of: A Data input B Data storage C Data backup D Data analysis
57 When raw data is processed, organized, and structured, it becomes: A Information B A database C Big Data D A variable
58 What is the term for raw, unorganized facts and figures? A Information B Data C Analysis D Process
59 Which of the following is an example of unstructured data? A A table in a relational database B A CSV file C A video file D An XML file
60 Data that is organized in a fixed format, such as in rows and columns of a table, is known as: A Unstructured data B Semi-structured data C Big Data D Structured data
61 The term 'Big Data' refers to data sets that are: A Too large and complex for traditional data-processing application software B Only used by large companies C Stored in a single computer D Always accurate and clean
62 Which of the '3 Vs' of Big Data refers to the different forms of data, such as text, images, and videos? A Volume B Variety C Velocity D Veracity
63 In the context of Big Data, what does 'Velocity' refer to? A The size of the dataset B The different types of data C The speed at which data is generated and processed D The accuracy of the data
64 Which data type has some organizational properties but does not fit into a rigid relational model? Examples include XML and JSON files. A Structured data B Unstructured data C Raw data D Semi-structured data
66 Which of the following is the BEST example of structured data? A An email message B An employee record in a database table C A photograph D A tweet
67 The process of inspecting, cleaning, transforming, and modeling data to discover useful information is called: A Data Entry B Data Storage C Data Analysis D Data Deletion
68 Which characteristic of Big Data refers to the enormous size of the dataset? A Velocity B Variety C Veracity D Volume
69 Which term refers to the process of inspecting, cleaning, transforming, and modeling data to discover useful information and support decision-making? A Data Analysis B Data Storage C Data Entry D Data Collection
70 Which of the following is a primary example of structured data? A A video file from a social media platform. B An employee's record in a database with fields like ID, Name, and Salary. C The text content of a news article. D An audio recording of a customer service call.
71 In the context of Big Data, what does the characteristic 'Variety' refer to? A The speed at which data is created and processed. B The huge quantity or amount of data. C The different forms of data, such as text, images, and videos. D The trustworthiness and quality of the data.
72 The height of students in a class, measured in centimeters, is an example of which type of data? A Qualitative data B Categorical data C Unstructured data D Quantitative data
73 Raw, unorganized facts and figures that need to be processed to become meaningful are known as: A Data B Information C Analysis D Knowledge
74 Which characteristic of Big Data deals with the uncertainty, inconsistency, and trustworthiness of data? A Volume B Velocity C Veracity D Variety