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Quiz Questions and answers are as below:

1. What type of data is generated when a person transfers money using online banking?

a) Structured Data

b) Unstructured Data

c) Semi-Structured Data

d) Text Data

Answer: a) Structured Data

2. Which type of data is generated when a teen does a video chat with a friend?

a) Structured Data

b) Unstructured Data

c) Semi-Structured Data

d) None of the above

Answer: b) Unstructured Data

3. Which of the following is an example of ordinal data in an airline management system?

a) Passenger's name

b) Flight number

c) Time slots for flight availability

d) Customer feedback

Answer: c) Time slots for flight availability

4. Which type of data is generated when a person browses items on an e-commerce site and adds them to a shopping cart?

a) Structured Data

b) Unstructured Data

c) Semi-Structured Data

d) None of the above

Answer: c) Semi-Structured Data

5. In a smart airline management system, what type of data is passenger's age classified as?

a) Nominal Data

b) Ordinal Data

c) Numerical Data

d) Unstructured Data

Answer: c) Numerical Data

6. What type of data is used to track treatment progress in a hospital management system?

a) Nominal Data

b) Ordinal Data

c) Numerical Data

d) Unstructured Data

Answer: b) Ordinal Data

7. Which of the following is a goal of linear regression?

a) Find a linear relationship between two variables

b) Group data into clusters

c) Use a neural network to predict values

d) Calculate the distance between data points

Answer: a) Find a linear relationship between two variables

8. What analogy is commonly used to explain linear regression?

a) A road passing through houses in a town

b) A river flowing through a valley

c) A tree growing from a seed

d) A flight traveling from one city to another

Answer: a) A road passing through houses in a town

9. In gradient descent, what are "local minima" and "global minima"?

a) Points in the algorithm where errors are minimized

b) Types of data used in machine learning

c) Types of machine learning models

d) Methods to reduce overfitting

Answer: a) Points in the algorithm where errors are minimized

10. What is the primary function of K-Means clustering?

a) Predict future outcomes

b) Group data into clusters based on similarity

c) Reduce dimensionality

d) Improve model accuracy

Answer: b) Group data into clusters based on similarity

11. What does the simulation for gradient descent help visualize?

a) Data clustering patterns

b) The minimization of errors in a model

c) Word vector representations

d) Linear regression models

Answer: b) The minimization of errors in a model

12. Which type of data does the smart healthcare management system collect for patient records?

a) Nominal Data

b) Ordinal Data

c) Numerical Data

d) All of the above

Answer: d) All of the above

13. What is the primary purpose of the Word2Vec algorithm?

a) Transform words into vectors

b) Classify data into categories

c) Create linear regression models

d) Track numerical data

Answer: a) Transform words into vectors

14. How are unique patient IDs classified in the healthcare system?

a) Nominal Data

b) Ordinal Data

c) Numerical Data

d) Unstructured Data

Answer: a) Nominal Data

15. Which of the following is an example of unstructured data on the railway website?

a) Train schedules

b) Ticket booking information

c) Customer complaints and social media mentions

d) Reservation status

Answer: c) Customer complaints and social media mentions