Unit 2 Data Literacy Class 9 AI MCQ
Unit 2 Data Literacy Class 9 AI MCQ
Q1. __________ means knowing how to understand, work with and talks about data.
a. Data Relation
b. Data literacy
c. Data Understanding
d. Data study
Q2. Data Literacy means __________
a. to understand data
b. to interpret data
c. to communicate with data
d. All of the above
Q3. Ability to read, comprehend and communicate in a language is known as ______________
a. Literacy
b. Communication
c. Literature
d. Data Literature
Q4. Data Pyramid is made of ________ stages of working with data.
a. One
b. Two
c. Three
d. Four
Q5. Processed data is called ______________
a. Information
b. Knowledge
c. Wisdom
d. Complete data
Q6. _____ allows us to understand why things are happening in a particular way.
a. Data
b. Wisdom
c. Knowledge
d. Information
Q7. Data literacy is essential because it enables individuals _____
a. to make informed decisions
b. to think critically
c. to solve problems and innovate
d. All of the above
Q8. Every data tells a story. A person who can interact with data to understand the world around them is ______
a. Data Educator
b. Data Professor
c. Data Literate
d. Data Story Teller
Q9. Aman is a data literate and now he want to buy mobile. Which of the following things he will do while doing online shopping?
a. Filter the category as per the requirement
b. Check the user ratings of the products
c. Check for specific requirements in the product
d. All of the above
Q10. Data literacy framework is an iterative process.(True/False)
a. True
b. False
Unit 2 Data Literacy Class 9 AI MCQ
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Unit 2 Data Literacy Class 9 AI MCQ
Q11. _______ provides guidance on using data efficiently and with all levels of awareness.
a. Data Literacy
b. Data Literature
c. Data Literacy Framework
d. Data Framework
Q12. Data Privacy and Data Security are not different from each other.(True/False)
a. True
b. False
Q13. _________ refers to how data is collected, shared and used.
a. Data Privacy
b. Data Security
c. Security
d. Data Literacy
Q14. ____________ refers to protecting data from hackers who might want to misuse it.
a. Data Privacy
b. Data Security
c. Security
d. Data Literacy
Q15. Proper handling of sensitive data such as certain financial data and intellectual property data as well as protecting the confidentiality and immutability of the data is ____________
a. Data Security
b. Data Management
c. Data Protection
d. Data Privacy
Q16. Which of the following may compromise our data privacy?
a. Downloading an unverified mobile application.
b. Accepting the terms of service without reading.
c. Both of the above
d. None of the above
Q17. __________ is the practice of protecting digital information from unauthorized access, corruption, or theft throughout its entire lifecycle.
a. Data Breach
b. Data Authentication
c. Data Privacy
d. Data Security
Q18. The most possible reasons why data security is more important are _____________
a. Cyber-attacks
b. Fast-technological changes will boom cyber attacks
c. Newer Hacking Methods
d. All of the above
Q19. __________ involves protecting computers, servers, mobile devices, electronic systems, networks, and data from harmful attacks.
a. Cyber Threat
b. Cyber Security
c. Cyber Crime
d. Cyber Cafe
Q20. What we can do to enhance cyber security?
a. Use strong, unique passwords
b. Activate Two-Factor Authentication (2FA) for added security
c. Download software from trusted sources
d. All of the above
Unit 2 Data Literacy Class 9 AI MCQ
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Unit 2 Data Literacy Class 9 AI MCQ
Q21. We should avoid sharing ____________ to prevent Cyber attack?
a. personal hobbies
b. personal info like real name or phone number
c. personal favorite book
d. personal favorite food
Q22. Cultivating Data Literacy means _______________
a. Utilize vocabulary and analytical skills
b. Acquire, develop, and improve data literacy skills
c. Develop skills in statistical methodologies
d. Develop skills in Math
Q23. ____________ is the practice of protecting digital information from unauthorized access, corruption, or theft throughout its entire lifecycle.
a. Data Security
b. Data Literacy
c. Data Privacy
d. Data Acquisition
Q24. Which of the following is serving as the foundation of AI?
a. Data
b. Humanity
c. Ethics
d. Morals
Q25. Two common type of data used in AI is _______
a. Boolean and Date
b. Textual and Date
c. Textual and Numeric
d. Boolean and Numeric
Q26. Numeric Data used in AI is further classified as _________
a. Continuous Data and Discrete Data
b. Qualitative Data and Quantitative Data
c. Good Data and Bad Data
d. Continuous Data and Quantitative Data
Q27. Textual Data is also known as _______
a. Boolean Data
b. Quantitative Data
c. Qualitative Data
d. Numeric Data
Q28. Numeric Data is also known as _______
a. Boolean Data
b. Quantitative Data
c. Qualitative Data
d. Textual Data
Q29. __________ data is used for Natural Language Processing.
a. Numeric Data
b. Textual Data
c. Date Data
d. Audio and Visual Data
Q30. ____________ data is used for Statistical Data.
a. Numeric Data
b. Textual Data
c. Date Data
d. Audio and Visual Data
Unit 2 Data Literacy Class 9 AI MCQ
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Unit 2 Data Literacy Class 9 AI MCQ
Q31. Which of the following is an example of Qualitative Data?
a. Which is a good park nearby?
b. Vegetarian restaurant near me
c. Both of the above
d. Restaurant bill
Q32. Which of the following is an example of Quantitative Data?
a. Restaurant bill
b. Cricket Score
c. Height of a student
d. All of the above
Q33. Which of the followings are an example of continuous data?
a. Height, Weight and temperature
b. Mass, Length and Number of students in class
c. Temperature, Number of students in class, Percentage in Annual Exam
d. Number of students in class and Height of a student
Q34. _____________ is numeric data that contains only whole numbers and cannot be fractional.
a. Numerical Data
b. Quantitative Data
c. Continuous Data
d. Discrete data
Q35. Visual data like images or videos are used in _________ domain of AI.
a. NLP
b. CV
c. SD
d. None of the above
Q36. Numeric data like tables or excel sheets are used in ___________ domain of AI.
a. NLP
b. CV
c. SD
d. None of the above
Q37. What type of data is used in NLP?
a. Images or Videos
b. Documents or PDF files
c. Tables or Excel Sheets
d. None of the above
Q38. _____________ refers to the procedure of gathering data
a. Data Acquisition
b. Acquiring Data
c. Both of the above
d. None of the above
Q39. Data Acquisition typically comprises ___________ key steps.
a. One
b. Two
c. Three
d. Four
Q40. Which of the following is not the key step of Data Acquisition?
a. Data Discovery
b. Data sets
c. Data Augmentation
d. Data Generation
Unit 2 Data Literacy Class 9 AI MCQ
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Unit 2 Data Literacy Class 9 AI MCQ
Q41. Aman wants to create a CV model for a self-driving car. For this he require the ______
a. Pictures of roads
b. Pictures of different vehicles on road
c. Pictures of different objects on road
d. All of the above
Q42. Searching and downloading data from the internet for AI model is called __________
a. Data Base
b. Data Generation
c. Data Augmentation
d. Data Discovery
Q43. ____________ means increasing the amount of data by adding copies of existing data with small changes.
a. Data Base
b. Data Generation
c. Data Augmentation
d. Data Discovery
Q44. In which of the following steps of Data Acquisition, New data is added by slightly changing the existing data.
a. Data Base
b. Data Generation
c. Data Augmentation
d. Data Discovery
Q45. Recording temperature readings of a building is an example of _________
a. Data Base
b. Data Generation
c. Data Augmentation
d. Data Discovery
Q46. Sources for Acquiring Data is ________________
a. Surveys
b. Interviews
c. Experiments
d. All of the above
Q47. ________________ is an online community of data scientists where we can access different types of data.
a. Google
b. Kaggle
c. Datasets
d. UCI
Q48. ________ is a collection of databases, domain theories and data generators in collaboration with the university of Massachusetts.
a. Google
b. Kaggle
c. UCI
d. .gov datasets
Q49. Which of the following factors should be considered which make Good Data?
a. Information is well structured.
b. It should be Consistent
c. It should be accurate
d. All of the above
Q50. Which of the following factors make Bad Data?
a. Information is scattered
b. Contains inaccurate values
c. Contains duplicate values
d. All of the above
Unit 2 Data Literacy Class 9 AI MCQ
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Unit 2 Data Literacy Class 9 AI MCQ
Q51. The process of collecting data from websites using software is called ________________
a. Web Software
b. Web Scraping
c. Web Downloading
d. Web Sharing
Q52. Which of the following is not the ethical concerns in data acquisition?
a. Bias
b. Consent
c. Accountability
d. Certainity
Q53. Web Scraping is not illegal but using data without permission is illegal.(True/False)
a. True
b. False
Q54. ______________ means to take necessary permissions before collecting an individual data.
a. Accountability
b. Bias
c. Consent
d. Anonymity
Q55. ____________ ethical concern in data acquisition protects the identity of a person who is the source of data.
a. Bias
b. Accountability
c. Anonymity
d. Consent
Q56. ________________ ethical concern in data acquisition refers to take responsibility for your action in case of misuse of data.
a. Bias
b. Accountability
c. Anonymity
d. Consent
Q57. _______________ ethical concern in data acquisition refers to avoid any preferences or partiality in data.
a. Bias
b. Accountability
c. Anonymity
d. Consent
Q58. Which of the following is primary factors determining the usability of data?
a. Structure of data
b. Cleanliness
c. Accuracy
d. All of the above
Q59. In which of the following, structure of the stored data can be considered as good structure?
a. Spreadsheet
b. Notepad
c. Paint
d. Power Point
Q60. _________ is free from duplicates, missing values, outliers, and other anomalies.
a. Plain Data
b. Clean Data
c. Clear Data
d. No Error Data
Unit 2 Data Literacy Class 9 AI MCQ
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Unit 2 Data Literacy Class 9 AI MCQ
Q61. ______________ are the characteristics or properties of the data.
a. Data sets
b. Data features
c. Data base
d. Data design
Q62. Data features of student table is _______________
a. Name
b. Age
c. Class
d. All of the above
Q63. In a photo dataset, features might be the colors present in each image.(True/False)
a. True
b. False
Q64. In AI models, we need ____________ types of features.
a. 1
b. 2
c. 3
d. 4
Q65. ______ are the input to the model-they’re the information we provide to make predictions.
a. Interdependent features
b. Dependent features
c. Independent features
d. Data Features
Q66. ______ are the outputs or results of the model, they’re what we’re trying to predict.
a. Interdependent features
b. Dependent features
c. Independent features
d. Data Features
Q67. ___________ refers to operating on data to produce meaningful information.
a. Data Processing
b. Data Interpretation
c. Data Features
d. Dependent Features
Q68. __________ refers to analyzing data to arrive at meaningful decisions.
a. Data Features
b. Data Processing
c. Data Interpretation
d. Data base
Q69. The process of making sense out of data that has been processed is called ______
a. Data Features
b. Data Processing
c. Data Interpretation
d. Data base
Q70. ________ is to collect data from various data sources.
a. Independent data
b. Acquiring data
c. Processing data
d. Data Interpretation
Unit 2 Data Literacy Class 9 AI MCQ
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Unit 2 Data Literacy Class 9 AI MCQ
Q71. When raw data is collected and processed to derive meaningful information from it is called _____________
a. Data Acquiring
b. Data Analysis
c. Data Processing
d. Data Presentation
Q72. ______________ is to examine each component of the data in order to draw conclusions.
a. Data Acquiring
b. Data Analysis
c. Data Processing
d. Data Presentation
Q73. ___________________ is to be able to explain what these findings/conclusions mean in a given context.
a. Data Acquiring
b. Data Analysis
c. Data Interpretation
d. Data Presentation
Q74. There are ___________ ways to interpret data.
a. 1
b. 2
c. 3
d. 4
Q75. Which of the following data interpretation method tells us about the emotions and feelings of people?
a. Qualitative Data Interpretation
b. Quantitative Data Interpretation
c. Both of the above
d. None of the above
Q76. Which of the following data interpretation method is focused on insights and motivations of people?
a. Qualitative Data Interpretation
b. Quantitative Data Interpretation
c. Both of the above
d. None of the above
Q77. Reviews given by customer about a restaurant or a hotel is an example of ______
a. Quantitative data
b. Data Analysis
c. Data Interpretation
d. Qualitative data
Q78. In _____ method, data is collected using a one-to-one interaction.
a. Case Studies
b. Longitudinal Studies
c. Focus groups
d. One-to-One Interviews
Q79. Data Collection Methods for Qualitative Data Interpretation is __________
a. Case studies
b. Observation
c. Focus groups
d. All of the above
Q80. A study conducted over a considerable amount of time to identify trends and patterns is called ______________
a. Case studies
b. Longitudinal studies
c. Focus group
d. Observation
Unit 2 Data Literacy Class 9 AI MCQ
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Unit 2 Data Literacy Class 9 AI MCQ
Q81. _______ is the first step for Qualitative Data Analysis.
a. Organize data
b. Collect data
c. Analyze your data
d. Reporting
Q82. _______ is the last step for Qualitative Data Analysis.
a. Organize data
b. Collect data
c. Analyze your data
d. Reporting
Q83. Quantitative data interpretation is made on ____________
a. String
b. Boolean Data
c. Numerical data
d. Characters
Q84. Which of the following is an example of Quantitative Data Interpretation?
a. Number of website visit
b. Recording height of students in a class.
c. CGPA of student
d. All of the above
Q85. Which of the following are Data Collection Methods for Quantitative Data Interpretation?
a. Interview
b. Observations
c. Longitudinal Studies
d. All of the above
Q86. A poll is a type of survey that asks simple questions to respondents. Polls are usually limited to ____________ question.
a. One
b. Two
c. Five
d. Infinite
Q87 a. Which of the following question is an example of Qualitative data interpretation?
a. How many students like attending online classes?
b. Why do students like attending online classes?
c. How many students like gardening as hobby?
d. How many students born in the moth of October?
Q87 b. Which of the following question is an example of Quantitative data interpretation.
a. How many students like attending online classes?
b. Why do students like attending online classes?
c. Name of the students who like gardening as hobby?
d. Why we should go for morning walk?
Q88. Arrange the following steps of Quantitative data interpretation.
1. Decide a measurement scale
2. Relate measurement scales with variables
3. Represent data in an appropriate format
4. Connect descriptive statistics with data
a. 1>2>3>4
b. 2>3>1>4
c. 2>4>1>3
d. 2>4>3>1
Q89. ______ method is used when the data is not large and can be easily comprehended by reading.
a. Textual
b. Tabular
c. Graphic
d. None of the above
Q90. ______ Data interpretation method is not suitable for large data.
a. Textual
b. Tabular
c. Graphic
d. None of the above
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Q91. In ________ data is represented systematically in the form of rows and columns
a. Textual DI
b. Tabular DI
c. Graphical DI
d. None of the above
Q92. Which of the following is used for Graphical DI?
a. Bar graph
b. Line graph
c. Pie Chart
d. All of the above
Q93. In _____, data is represented using vertical and horizontal bars.
a. Bar graph
b. Line graph
c. Pie Chart
d. All of the above
Q94. In ____ each slice represents the portion of the entire quantity allocated to each category.
a. Bar graph
b. Line graph
c. Pie Chart
d. All of the above
Q95. _______________is a circular chart divided into various sections (think of a cake cut into slices)
a. Bar graph
b. Line graph
c. Pie Chart
d. All of the above
Q96. A ______________ is created by connecting various data points.
a. Bar graph
b. Pie Chart
c. Line graph
d. Column chart
Q97. Which of the following is important feature of Data Interpretation?
a. Informed Decision Making
b. Reduced Cost
c. Identifying Needs
d. All of the above
Q98. Which software is useful for Data Visualization?
a. DBMS
b. MS Word
c. MS Paint
d. Tableau
Q99. Which of the following chart can not be created using Tableau?
a. Pie Chart
b. Bubble Chart
c. Bar Chart
d. Dot Dot Chart
Q100. Tableau can quickly transformed our bar chart to a chart of bubbles. (True/False)
a. True
b. False
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Important Links
Class IX A.I. Book
Class IX AI Curriculum
Class X AI Book
Class X AI Curriculum 2025-26
Python Manual
A.I. Reflection Project Cycle and Ethics Class 9 Notes Important Points
A.I. Reflection Project Cycle and Ethics Class 9 MCQ