Practice Questions: Data Literacy | Artificial Intelligence (AI) for Class 9 PDF Download

Q1. What does the Data Literacy Pyramid help us understand?
(a) How to clean data
(b) The journey from raw data to wisdom
(c) How to format data
(d) The difference between AI and data

Ans: (b) 
The Data Pyramid moves from data → information → knowledge → wisdom. It illustrates how raw data can evolve into valuable insights.

Q2. Which of the following is an example of Quantitative Data?
(a) A movie review as "excellent"
(b) Temperature recorded as 36.6°C
(c) A tweet about a product
(d) A customer’s mood

Ans: (b) 
Quantitative data deals with numerical values. Temperature is numerical and measurable, hence quantitative.

Q3. What is the role of a Data Literate person while shopping online?
(a) Buy the most expensive item
(b) Ignore user reviews
(c) Compare products, filter prices, and check ratings
(d) Skip product details

Ans: (c) 
A data literate person uses available data (like ratings and price filters) to make informed decisions.

Q4. What is the difference between Data Privacy and Data Security?
(a) They are the same
(b) Privacy is about data collection; Security is about data protection
(c) Privacy is physical safety; Security is digital safety
(d) Privacy protects software; Security protects hardware

Ans: (b)
Privacy is about handling sensitive data appropriately. Security ensures protection from unauthorized access.

Q5. Which of the following is NOT a best practice for Cybersecurity?
(a) Use Two-Factor Authentication
(b) Share passwords with friends
(c) Update antivirus software regularly
(d) Download software from trusted sources

Ans: (b)
Sharing passwords is unsafe and violates cybersecurity best practices.

Q6. Which of the following is a Primary Data Source?
(a) Government Census website
(b) Wikipedia
(c) A classroom survey
(d) Newspaper archives

Ans: (c) 
Primary data is collected firsthand, like surveys, interviews, and experiments.

Q7. What does 'Data Augmentation' mean?
(a) Deleting duplicate data
(b) Changing data to wrong values
(c) Generating new data by modifying existing ones
(d) Collecting random data from the web

Ans: (c)
Data augmentation involves small changes to existing data to increase the dataset, e.g., changing image brightness or angle.

Q8. What are the two types of features in a dataset used in AI models?
(a) Internal and External
(b) Simple and Complex
(c) Independent and Dependent
(d) Static and Dynamic

Ans: (c)
Independent features are inputs, and dependent features are outputs the model is trained to predict.

Q9. What type of chart would best show percentage distribution among categories?
(a) Line graph
(b) Bar graph
(c) Pie chart
(d) Scatter plot

Ans: (c)
A pie chart is best for showing proportional data or percentage breakdown among categories.

Q10. What is the main goal of Data Interpretation?
(a) Storing raw data
(b) Cleaning unstructured data
(c) Deriving meaningful insights from data
(d) Encrypting user data

Ans: (c)
Data interpretation involves making sense of data to support conclusions and decision-making.