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AI/ML MASTERMIND

Total questions: 21

Worksheet time: 1hrs 3mins

Name
Class
Date
1.

Who is the inventor of Artificial Intelligence?

a)

a) Geoffrey Hinton


b)

b) Andrew Ng

c)

c) John McCarthy

d)

d) Jürgen Schmidhuber

2.

What is the goal of Artificial Intelligence?

a)

a) To solve artificial problems


b)

b) To extract scientific causes

c)

c) To explain various sorts of intelligence

d)

d) To solve real-world problems

3.

In how many categories process of Artificial Intelligence is categorized?

a)

a) categorized into 5 categories


b)

b) processes are categorized based on the input provided

c)

c) categorized into 3 categories

d)

d) process is not categorized

4.

Which of the following is a component of Artificial Intelligence?

a)

a) Learning


b)

b) Training

c)

c) Designing

d)

d) Puzzling

5.

Which of the following is not a type of Artificial Intelligence agent?

a)

a) Learning AI agent


b)

b) Goal-based AI agent

c)

c) Simple reflex AI agent

d)

d) Unity-based AI agent

6.

Which of the following is not the commonly used programming language for Artificial Intelligence?

a)

a) Perl


b)

b) Java

c)

c) PROLOG

d)

d) LISP

7.

Which of the following are the approaches to Artificial Intelligence?

a)

a) Applied approach


b)

b) Strong approach

c)

c) Weak approach

d)

d) All of the mentioned

8.

Face Recognition system is based on which type of approach?

a)

a) Weak AI approach


b)

b) Applied AI approach

c)

c) Cognitive AI approach

d)

d) Strong AI approach

9.

Which of the following is an advantage of artificial intelligence?

a)

) Reduces the time taken to solve the problem


b)

b) Helps in providing security

c)

c) Have the ability to think hence makes the work easier

d)

d) All of the above

10.

Which of the following is an example of artificial intelligent agent/agents?

a)

a) Autonomous Spacecraft


b)

b) Human

c)

c) Robot

d)

d) All of the mentioned

11.

Which of the following is an expansion of Artificial Intelligence application?

a)

a) Game Playing


b)

b) Planning and Scheduling

c)

c) Diagnosis

d)

d) All of the mentioned

12.

What is the name of Artificial Intelligence which allows machines to handle vague information with a deftness that mimics human intuition?

a)

a) Human intelligence
b) Boolean logic
c) Functional logic
d) Fuzzy logic

b)

b) Boolean logic

c)

c) Functional logic

d)

d) Fuzzy logic

13.

Which of the following are the 5 big ideas of AI?

a)

a) Perception


b)

b) Human-AI Interaction

c)

c) Societal Impact

d)

d) All of the above

14.

What is Weak AI?

a)

a) the study of mental faculties using mental models implemented on a computer

b)

b) the embodiment of human intellectual capabilities within a computer

c)

c) a set of computer programs that produce output that would be considered to reflect intelligence if it were generated by humans

d)

d) all of the mentioned

15.

Which of the following produces hypotheses that are easy to read for humans?

a)

a) Human intelligence


b)

b) Boolean logic

c)

c) Functional logic

d)

d) Fuzzy logic

16.

K-Nearest Neighbors (KNN) is classified as what type of machine learning algorithm?

a)

a) Instance-based learning


b)

b) Parametric learning

c)

c) Non-parametric learning

d)

d) Model-based learning

17.

Which of the following is not a supervised machine learning algorithm?

a)

a) K-means


b)

b) Naïve Bayes

c)

c) SVM for classification problems

d)

d) Decision tree

18.

What is the key difference between supervised and unsupervised learning?

a)

a) Supervised learning requires labeled data, while unsupervised learning does not.

b)

b) Supervised learning predicts labels, while unsupervised learning discovers patterns.

c)

c) Supervised learning is used for classification, while unsupervised learning is used for regression.

d)

d) Supervised learning is always more accurate than unsupervised learning.

19.

Which of the following statements is true about AdaBoost?

a)

a) It is particularly prone to overfitting on noisy datasets

b)

b) Complexity of the weak learner is important in AdaBoost

c)

c) It is generally more prone to overfitting

d)

d) It improves classification accuracy

20.

Which one of the following models is a generative model used in machine learning?

a)

a) Support vector machines


b)

b) Naïve Bayes

c)

c) Logistic Regression

d)

d) Linear Regression

21.

Based on which of the following parameter Artificial Intelligence is categorized?

a)

a) Based on functionally only


b)

b) Based on capabilities only

c)

c) Based on capabilities and functionally

d)

d) It is not categorized