Artificial Intelligence - MCQs - 1

 Artificial Intelligence - MCQs - 1


1. What is Artificial Intelligence?
A. Artificial Intelligence is a field that aims to make humans     more intelligent
B. Artificial Intelligence is a field that aims to improve the 
   security
C. Artificial Intelligence is a field that aims to develop           intelligent machines
D. Artificial Intelligence is a field that aims to mine the data

Ans: C 

2. Who is the inventor of Artificial Intelligence?

          A. Geoffrey Hinton 

          B. Andrew Ng

          C. John McCarthy    

          D. Jürgen Schmidhuber

Ans: C

3. Which of the following is the branch of Artificial Intelligence?

A. Machine Learning

B. Cyber forensics

C. Full-Stack Developer

D. Network Design 

Ans: A 

4. What is the goal of Artificial Intelligence?

A. To solve artificial problems

B. To extract scientific causes

C. To explain various sorts of intelligence

D. To solve real-world problems

Ans: C

5. Which of the following is an application of Artificial Intelligence?

A. It helps to exploit vulnerabilities to secure the firm

B. Language understanding and problem-solving (Text analytics and NLP)

C. Easy to create a website

D. It helps to deploy applications on the cloud

Ans:  B

6. Which of the following is not the commonly used programming language for Artificial Intelligence?
A. Perl
B. Java
C. PROLOG
D. LISP
Ans: A

7. Which of the following is not an application of artificial intelligence?
A. Face recognition system
B. Chatbots
C. LIDAR
D. DBMS
Ans: D

8. Which of the following is an advantage of artificial intelligence?
A. Reduces the time taken to solve the problem
B. Helps in providing security
C. Have the ability to think hence makes the work easier
D. All of the above

Ans: D

9. Which search method takes less memory?
A. Depth-First Search
B. Breadth-First search
C. Optimal search
D. Linear Search
Ans: A

10. A heuristic is a way of trying __________
A. To discover something or an idea embedded in a program
B. To search and measure how far a node in a search tree seems to be from a goal
C. To compare two nodes in a search tree to see if one is better than the other is
D. All of the mentioned

Ans: D

11. A.M. Turing developed a technique for determining whether a computer could or could not demonstrate the artificial Intelligence, Presently, this technique is called __________
A. Turing Test
B. Algorithm
C. Boolean Algebra
D. Logarithm

Ans: A

12. DARPA, the agency that has funded a great deal of American Artificial Intelligence research, is part of the Department of __________

A. Defense
B. Energy
C. Education
D. Justice
Ans: A

13. Which of these schools was not among the early leaders in Artificial Intelligence research?
A. Dartmouth University
B. Harvard University
C. Massachusetts Institute of Technology
D. Stanford University
Ans: B

14. A certain Professor at the Stanford University coined the word ‘artificial intelligence’ in 1956 at a conference held at Dartmouth college. Can you name the Professor?
A. David Levy
B. John McCarthy
C. Joseph Weizenbaum
D. Hans Berliner

Ans: B

15. The conference that launched the AI revolution in 1956 was held at?
A. Dartmouth
B. Harvard
C. New York
D. Stanford
Ans: A

16. What is a heuristic function?
A. A function to solve mathematical problems
B. A function which takes parameters of type string and returns an integer value
C. A function whose return type is nothing
D. A function that maps from problem state descriptions to measures of desirability
Ans: D

17. A search algorithm takes _________ as an input and returns ________ as an output.
A. Input, output
B. Problem, solution
C. Solution, problem
D. Parameters, sequence of actions
Ans: B

18. The _______ is a touring problem in which each city must be visited exactly once. The aim is to find the shortest tour.
A. Finding shortest path between a source and a destination
B. Travelling Salesman problem
C. Map coloring problem
D. Depth first search traversal on a given map represented as a graph
Ans: B

19. Which search method takes less memory?
A. Depth-First Search
B. Breadth-First search
C. Linear Search
D. Optimal search
Ans: A

20. Which search strategy is also called as blind search?
A. Uninformed search
B. Informed search
C. Simple reflex search
D. All of the mentioned
Ans: A

21. Which search is implemented with an empty first-in-first-out queue?
A. Depth-first search
B. Breadth-first search
C. Bidirectional search
D. None of the mentioned
Ans: B

22. Which search implements stack operation for searching the states?
A. Depth-limited search
B. Depth-first search
C. Breadth-first search
D. None of the mentioned
Ans: B

23. What is the other name of informed search strategy?
A. Simple search
B. Heuristic search
C. Online search
D. None of the mentioned
Ans: B

24. Which function will select the lowest expansion node at first for evaluation?
A. Greedy best-first search
B. Best-first search
C. Depth-first search
D. None of the mentioned
Ans: B

25. _________________ are mathematical problems defined as a set of objects whose state must satisfy a number of constraints or limitations.
A. Constraints Satisfaction Problems
B. Uninformed Search Problems
C. Local Search Problems
D. All of the mentioned
Ans: A

26. A heuristic is a way of trying ___________
A. To discover something or an idea embedded in a program
B. To search and measure how far a node in a search tree seems to be from a goal
C. To compare two nodes in a search tree to see if one is better than another
D. All of the mentioned
Ans: D

27. A* algorithm is based on ___________
A. Breadth-First-Search
B. Depth-First –Search
C. Best-First-Search
D. Hill climbing
Ans: C

28. Uninformed search strategies are better than informed search strategies.
A. True
B. False
Ans: B

29. Best-First search can be implemented using the following data structure
A. Queue
B. Stack
C. Priority Queue
D. Circular Queue
Ans: C

30. What is the evaluation function in A* approach?
A. Heuristic function
B. Path cost from start node to current node
C. Path cost from start node to current node + Heuristic cost
D. Average of Path cost from start node to current node and Heuristic cost
Ans: C

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