CBSE Class 10 Artificial Intelligence (AI) Project Cycle MCQ Questions PDF Download 2022

CBSE Class 10 Artificial Intelligence (AI) Project Cycle MCQ Questions PDF Download 2022

CBSE Class 10 Artificial Intelligence (AI) Project Cycle MCQ Questions PDF Download 2022

Type (Knowledge based/ Conceptual Understanding/Reasoning Based/Skill based Based)

1. Which of the following is not an authentic source of data acquisition?

a. Sensors

b. Surveys

c. Web Scraping

d. System Hacking 

d. System Hacking 

Knowledge based

2. What are the two different approaches for AI modelling?

1. Rule based and Learning Based
2. Teaching based and Learning based
3. Rule based and Decision based
4. Decision based and Clustering based

1. Rule based and Learning Based

Knowledge based

3.The Sustainable Development Goals (SDGs) are also known as _____________.

1. The Universal Goals
2. The Global Goals
3. Public goals

2. The Global Goals

Knowledge based

4.Name the 4Ws of problem canvases under the problem scoping stage of the AI Project Cycle.

1. Who, what ,where and why
2. Who, what , which and where 
3. Who, why , which and where 
4. Who, what , which and why

1. Who, what ,where and why

Knowledge based

5.The different types of learning based approaches for AI modelling are:

1. Clustering , Supervised and unsupervised 
2. Supervised, unsupervised and regression
3. Supervised, unsupervised and re-enforcement

3. Supervised, unsupervised and re-enforcement

Knowledge based

6. The main objective of __________domain of AI is to teach machines to collect information from pixels.

1. Data Science
2. Computer Vision
3. NLP

b. Computer Vision

Understanding 

7. Which statement(s) is/are applicable for Problem Scoping of AI project cycle?

1. setting the goal
2. identifying the problem
3. a deeper understanding of the problem
4. All of these 

d. All of these 

Understanding

8. Tick the limitation of Artificial Intelligence.

1. Access to data knowingly or unknowingly
2. Less expensive
3. Data Privacy is maintained
4. Access to data knowingly or unknowingly

Understanding

9. The classification Model of AI Project cycle works on :

1. The labelled data
2. The discrete dataset
3. The continuous data
4. Both a and b
5. Both a and c
6. None of the above

4. Both a and b

Understanding

10. Match Column A with Column B 

A                                               B 

a. Classification Model     i. The labelled data

b. Regression Model         ii. The discrete dataset

c. The continuous data     iv. Unlabeled data

1. a->i and ii , b->iii and iv
2. a->i and iii , b->ii and iv
3. a->ii and iii , b->i and iv
4. a->i and ii , b->ii 

1. a->i and ii , b->iii and iv

Skill based

11. Which of the following node is the last node of a decision tree?

1. root
2. terminal
3. interior
4. parent

2. terminal

Knowledge based

12. Here are the stages of AI project cycle. Rearrange the stages in the correct order.

1. Problem scoping
2. Data Exploration
3. Data Acquisition
4. Evaluation
5. Modelling

a. i) -> iii) -> ii) -> v) -> iv) 

b) ii) -> iv) -> iii) -> v) -> i) 

c) iii) -> ii) -> iii) -> iv) -> v) 

d) iii) -> v) -> iv) -> ii) -> i)

a. i) -> iii) -> ii) -> v) -> iv) 

Skill based

13. Which of the following statement is true for an AI machine?

1. Smart machines which are AI, require training data and they work on algorithms.
2. Smart machines which are AI, do not require training data, they work on algorithms only.
3. Machines which are AI cannot take decisions on their own.
4. AI machines cannot learn from mistakes and experience. 

1. Smart machines which are AI, require training data and they work on algorithms.

Skill based

14. Which of the following is correct about the learning based approach? 

a) We can provide enough rules to the machine. 

b) A drawback/feature for this approach is that the learning is static. 

c) Once the rules are fed into the system, it takes into consideration any changes made in the original training dataset. 

d) It can improve itself based on the feedbacks.

d) It can improve itself based on the feedbacks.

Understanding

15. AI cannot use advanced machine learning algorithms to:

1. Analyze browser history
2. Web page clicks
3. Social interactions (likes, shares)
4. Operate a Refrigerator

4. Operate a Refrigerator

Understanding

16. Unscramble the letters and find the parameter that is not used in Unsupervised Learning

a. dlelabueln adatets

b. isnailoafscict

c. scnglrueti

b. isnailoafscict

Skill based

17. Madhur was asked to match the correct option from column B with the given stages of AI Project Cycle in Column A. Help him to do so.

             A                B 

a. Data Acquisition      i. Bar Chart

b. Data Exploration     ii. Decision Tree                   

c. Histogram                 iii. Web Scrapings

                                        iv.. Surveys

1. a->iv and v, b-> i and iii

2. a->iv and ii, b-> i ,iii and v

3. a-> i, iii and v, b->ii and iv

4. a->ii, iv and v, b->i and iii 

a->iv and v, b-> i and iii

Skill based

18. Assertion (A): At evaluation stage of AI cycle , efficiency of a model is calculated.

Reason (R): Regression is one of the parameters to test a model’s efficiency.

a) (A) is false but (R) is true 

b) (A) is true but (R) is false 

c) Both (A) and (R) are true 

d) Both (A) and (R) are false

b) (A) is true but (R) is false 

Reasoning Based

19. Assertion (A): Linear Regression can be used for online shopping business.

 Reason(R):  Linear Regression is one of the best Machine Learning algorithms used for forecasting sales.

a) (A) is false but (R) is true 

b) (A) is true but (R) is false 

c) Both (A) and (R) are true 

d) Both (A) and (R) are false

c) Both (A) and (R) are true 

Reasoning Based

20. Let’s say a user A who is a sports enthusiast bought, pizza, pasta, and a coke. Now a couple of weeks later, another user B who rides a bicycle buys pizza and pasta. He does not buy the coke, but Amazon recommends a bottle of coke to user B. Why did this happen?

a. E-commerce websites like Amazon make use of Machine Learning to recommend products to their customers. 

b. This kind of recommendation comes from collaborative filtering, which is the process of comparing users with similar shopping behaviours in order to recommend products to a new user with similar shopping behavior.

c. Both a and b

d. None of the above

c. Both a and b

Skill based

21. The crop yield in India is degrading because farmers are unable to detect diseases in crops during the early stages. Can AI be used for disease detection in crops? If yes, explain.

a. Yes, AI can be used to implement image processing and classification techniques for extraction and classification of leaf diseases.

b. No, AI cannot be used for disease detection, farmers must be trained for handling it.

c. Yes, AI can be used to implement Dimensionality Reduction for extraction and classification of leaf diseases.

a. Yes, AI can be used to implement image processing and classification techniques for extraction and classification of leaf diseases.

Skill based