Class 9 AI(417) – Data Literacy MCQs | Revise Smart & Score Higher
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Q1. Assertion (A): Data privacy and data security are different concepts.
Reason (R): Data security focuses on protecting digital information from unauthorized access, corruption or theft.
a) Both A and R are true, and R is the correct explanation of A
b) Both A and R are true, but R is not the correct explanation of A
c) A is true, but R is false
d) A is false, but R is true
Q2. Assertion (A): Only necessary data should be collected for a project.
Reason (R): User consent is important during data collection.
a) Both A and R are true, and R is the correct explanation of A
b) Both A and R are true, but R is not the correct explanation of A
c) A is true, but R is false
d) A is false, but R is true
Q3. Assertion (A): Data augmentation increases the amount of available data.
Reason (R): It does so by making small changes to existing data.
a) Both A and R are true, and R is the correct explanation of A
b) Both A and R are true, but R is not the correct explanation of A
c) A is true, but R is false
d) A is false, but R is true
Q4. Assertion (A): A dataset containing many duplicate records may have poor cleanliness.
Reason (R): Clean data should be free from duplicates, missing values and anomalies.
a) Both A and R are true, and R is the correct explanation of A
b) Both A and R are true, but R is not the correct explanation of A
c) A is true, but R is false
d) A is false, but R is true
Q5. Assertion (A): Tableau can be used for data visualization.
Reason (R): Tableau can transform song data into visualizations such as bar graphs and packed bubbles.
a) Both A and R are true, and R is the correct explanation of A
b) Both A and R are true, but R is not the correct explanation of A
c) A is true, but R is false
d) A is false, but R is true
Q6. Consider the following statements:
Statement I: Clean data should be free from duplicates and missing values.
Statement II: Accuracy indicates how closely data matches real-world values.
a) Both are true
b) Both are false
c) I is true, II is false
d) I is false, II is true
Q7. Consider the following statements:
Statement I: Data processing means making sense of processed data.
Statement II: Data interpretation means making sense of processed data.
a) Both are true
b) Both are false
c) I is true, II is false
d) I is false, II is true
Q8. A student compares product prices, user ratings and product requirements before purchasing an online video game. Which skill is primarily being demonstrated?
a) Data generation
b) Data literacy
c) Data security
d) Data presentation
Q9. Which of the following best explains why data literacy is important?
a) It eliminates the need for decision-making
b) It enables informed decisions and critical thinking
c) It converts all data into numbers
d) It prevents data collection
Q10. In the Data Pyramid, which stage represents raw facts before they become useful?
a) Wisdom
b) Knowledge
c) Information
d) Data
Q11. A school processes attendance records to understand attendance patterns. In the Data Pyramid, the processed data becomes:
a) Information
b) Raw data
c) Wisdom directly
d) Security
Q12. Which stage of the Data Pyramid helps us understand how things are happening?
a) Data
b) Information
c) Knowledge
d) Security
Q13. Rahul rates three films as “bad, best and average”. What kind of data is represented by these ratings?
a) Quantitative
b) Qualitative
c) Continuous
d) Discrete
Q14. A news article reports different figures about the same event. What should a data-literate person do?
a) Believe the first source
b) Believe the most attractive source
c) Compare and critically evaluate the sources
d) Ignore all sources
Q15. Which activity best demonstrates the impact of data literacy?
a) Making decisions solely on assumptions
b) Ranking news sources according to their accuracy
c) Avoiding data completely
d) Copying information from one source
Q16. A data-literate person buying a product online would most appropriately:
a) Select the first product displayed
b) Ignore user ratings
c) Filter products according to requirements
d) Choose the most expensive product
Q17. Which framework provides guidance on using data efficiently with awareness?
a) Data Security Framework
b) Data Literacy Process Framework
c) Data Acquisition Framework
d) Data Privacy Framework
Q18. Which of the following is most closely associated with data privacy?
a) Proper handling of sensitive information
b) Increasing storage capacity
c) Designing graphs
d) Creating bar charts
Q19. Which type of information is specifically mentioned in relation to data privacy?
a) Personal and confidential data
b) Only weather data
c) Only public advertisements
d) Only graphical data
Q20. Which statement correctly distinguishes data privacy from data security?
a) They are exactly the same
b) Privacy concerns proper handling of data, while security protects it from unauthorized access, corruption or theft
c) Security is related only to paper documents
d) Privacy deals only with passwords
Q21. Which is an appropriate data privacy practice?
a) Collect all available personal information
b) Collect only necessary data
c) Share passwords publicly
d) Ignore user consent
Q22. During data collection, what should be given utmost importance?
a) Data size
b) User consent
c) Number of devices
d) Internet speed
Q23. Data security protects digital information from:
a) Only duplication
b) Unauthorized access, corruption and theft
c) Only formatting errors
d) Only poor presentation
Q24. Data security should protect information throughout its:
a) Collection stage only
b) Storage stage only
c) Entire lifecycle
d) Presentation stage only
Q25. Which factor increases the need for data security according to the content?
a) Decrease in cloud data
b) Rising amount of data in the cloud
c) Decrease in cyber threats
d) Reduction in technology use
Q26. Two-Factor Authentication is used to:
a) Improve data visualization
b) Add an extra layer of security
c) Increase data size
d) Convert qualitative data into quantitative data
Q27. Which website should preferably be used for secure logins?
a) http\://
b) https\://
c) ftp\://
d) file://
Q28. Which information should generally not be shared online?
a) Favourite genre
b) Personal phone number
c) Publicly available song name
d) General weather information
Q29. A student receives a message asking for bank account details. What should the student do?
a) Provide the details
b) Ignore the suspicious request
c) Forward it to everyone
d) Post it publicly
Q30. Which activity violates the recommended cybersecurity practices?
a) Downloading software from trusted sources
b) Scanning files before opening
c) Copying copyrighted software without permission
d) Updating the operating system
Q31. Which of the following is an appropriate response to online bullying?
a) Participate in it
b) Ignore every incident
c) Report it to a trusted adult
d) Share personal information
Q32. Data acquisition refers to:
a) Presenting data
b) Gathering data
c) Deleting data
d) Interpreting graphs
Q33. Why is data acquisition important for AI projects?
a) AI models require suitable data for training
b) It eliminates the need for models
c) It prevents data analysis
d) It replaces visualization
Q34. Searching online for suitable datasets for an AI project is an example of:
a) Data discovery
b) Data interpretation
c) Data security
d) Data presentation
Q35. A team downloads road images from the internet to build a self-driving car model. This activity illustrates:
a) Data discovery
b) Data interpretation
c) Data cleaning
d) Data presentation
Q36. Data augmentation means:
a) Deleting duplicate data
b) Increasing data by making small changes to existing data
c) Converting numbers into words
d) Encrypting data
Q37. Recording temperature readings using sensors is an example of:
a) Data discovery
b) Data generation
c) Data presentation
d) Data interpretation
Q38. Which of the following is a primary data source?
a) Survey conducted by the researcher
b) External website
c) Existing report
d) Published database
Q39. Data obtained from external sources rather than being generated personally is:
a) Primary data
b) Secondary data
c) Generated data
d) Continuous data
Q40. Which of the following is a primary data collection method?
a) Interview
b) External website
c) Existing report
d) Published dataset
Q41. Which characteristic indicates how closely data matches real-world values?
a) Structure
b) Accuracy
c) Presentation
d) Visualization
Q42. A dataset contains several duplicate records. Which usability factor is primarily affected?
a) Cleanliness
b) Accuracy only
c) Presentation
d) Visualization
Q43. A measuring device records 20 cm for an object whose actual length is 15 cm. Which data characteristic is questionable?
a) Structure
b) Accuracy
c) Genre
d) Interpretation
Q44. In a student dataset, “Age” and “Grade” are examples of:
a) Graphs
b) Features
c) Models
d) Sources
Q45. Features describe:
a) Characteristics or properties of data
b) Only graphs
c) Only security settings
d) Only numerical calculations
Q46. In an AI model, independent features are:
a) Outputs
b) Inputs used to make predictions
c) Final conclusions
d) Errors in the dataset
Q47. The feature that represents the result the model is trying to predict is:
a) Independent feature
b) Dependent feature
c) Raw feature
d) Security feature
Q48. If a model predicts a student’s final grade using attendance and study hours, the predicted grade is the:
a) Independent feature
b) Dependent feature
c) Source
d) Dataset structure
Q49. Performing operations on raw data using computers is called:
a) Data processing
b) Data privacy
c) Data acquisition
d) Data generation
Q50. Data interpretation means:
a) Collecting raw data
b) Making sense of processed data
c) Storing data
d) Encrypting information
Q51. Examining each component of data to draw conclusions is:
a) Data acquisition
b) Data analysis
c) Data presentation
d) Data generation
Q52. Selecting, organizing and grouping ideas and evidence logically refers to:
a) Data processing
b) Data presentation
c) Data acquisition
d) Data security
Q53. Which two broad approaches to data interpretation are given in the content?
a) Structured and unstructured
b) Qualitative and quantitative
c) Primary and secondary
d) Discrete and continuous
Q54. Qualitative data primarily provides insights into:
a) Feelings and emotions
b) Numerical quantities
c) Temperature
d) Number of students
Q55. Qualitative interpretation focuses mainly on:
a) Quantity
b) Insights and motivations
c) Numerical calculations
d) Measurements
Q56. Which question is best suited for qualitative interpretation?
a) How many students attended?
b) How often did students attend?
c) Why do students like online classes?
d) How many marks did students score?
Q57. Which method is associated with qualitative data collection?
a) Focus groups
b) Polls only
c) Numerical tests only
d) Measurement scales only
Q58. Observing people’s behaviour and emotions is an example of:
a) Observation method
b) Poll method
c) Survey method
d) Tabular presentation
Q59. A study repeatedly collecting information from the same source over an extended period is:
a) Case study
b) Longitudinal study
c) Poll
d) Focus group
Q60. Which is the correct sequence for qualitative data analysis?
a) Analyze → Collect → Report → Organize → Code
b) Collect → Organize → Set a code → Analyze → Report
c) Organize → Collect → Report → Analyze → Code
d) Code → Collect → Organize → Report → Analyze
Q61. Quantitative interpretation helps answer questions such as:
a) Why and how
b) When, how many and how often
c) What emotion
d) What motivation
Q62. Which method can be used to collect quantitative data from a large number of people?
a) Survey
b) Focus group only
c) Case study only
d) Observation of emotions only
Q63. Which type of data is categorical?
a) Qualitative
b) Quantitative
c) Continuous
d) Numerical
Q64. Which type of data provides insights into quantity?
a) Qualitative
b) Quantitative
c) Categorical
d) Textual only
Q65. Data presented in paragraph form is called:
a) Tabular DI
b) Graphical DI
c) Textual DI
d) Numerical DI
Q66. Which presentation is most appropriate for systematically displaying information in rows and columns?
a) Textual
b) Tabular
c) Graphical
d) Qualitative
Q67. Which graph represents change in quantity over time by connecting data points?
a) Pie chart
b) Bar graph
c) Line graph
d) Table
Q68. In a pie chart, each section represents:
a) A separate dataset
b) A portion of the whole
c) Only numerical errors
d) A data source
Q69. Which visualization software is used in the project activity?
a) Tableau
b) Photoshop
c) NetBeans
d) MySQL
Q70. In Tableau, “Sample (Count)” represents:
a) Number of columns
b) Total number of songs in the table
c) Number of genres only
d) Number of worksheets