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Artificial Intelligence Interview Questions
Questions Answers Views Company eMail

Optimality of BFS is a) When there is less number of nodes b) When all step costs are equal c) When all step costs are unequal d) Both a & c

2186

How many successors are generated in backtracking search? a) 1 b) 2 c) 3 d) 4

3955

What is the space complexity of Greedy search? a) O(b) b) O(bl) c) O(m) d) O(bm)

1 6021

 In A* approach evaluation function is 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

4950

 In A* approach evaluation function is 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

2134

 A* is optimal if h(n) is an admissible heuristic-that is, provided that h(n) never underestimates the cost to reach the goal. a) True b) False

2283

What is the other name of informed search strategy? a) Simple search b) Heuristic search c) Online search d) None of the mentioned

5225

What is the heuristic function of greedy best-first search? a) f(n) != h(n) b) f(n) < h(n) c) f(n) = h(n) d) f(n) > h(n)

1551

Which search uses only the linear space for searching? a) Best-first search b) Recursive best-first search c) Depth-first search d) None of the mentioned

3040

Which method is used to search better by learning? a) Best-first search b) Depth-first search c) Metalevel state space d) None of the mentioned

3980

 Which is used to improve the performance of heuristic search? a) Quality of nodes b) Quality of heuristic function c) Simple form of nodes d) None of the mentioned

4850

 In many problems the path to goal is irrelevant, this class of problems can be solved using, a) Informed Search Techniques b) Uninformed Search Techniques c) Local Search Techniques d) Only a and b

2770

Though local search algorithms are not systematic, key advantages would include a) Less memory b) More time c) Finds a solution in large infinite space d) No optimum solution

2204

A complete, local search algorithm always finds goal if one exists, an optimal algorithm always finds a global minimum/maximum. State whether True or False. a) True b) False

2014

_______________ Is an algorithm, a loop that continually moves in the direction of increasing value – that is uphill a) Up-Hill Search b) Hill-Climbing c) Hill algorithm d) Reverse-Down-Hill search

1 2765


Un-Answered Questions { Artificial Intelligence }

What is random forests and how is it different from decision trees?

313


How can data governance be centralized in an LLM ecosystem?

51


List some products that are built using tensorflow.

1


What are cases and variables?

1241


What challenges do researchers face in neuromorphic computing?

93


What do you understand by Eigenvectors and Eigenvalues?

114


Explain calculate distance methods briefly?

319


What are good programming languages for ai?

996


How to choose notable variables while working on a data set?

96


What is the box-cox transformation used for?

84


What are the hardware constraints to consider when developing Edge AI applications?

119


What is logistic and linear regression? Name some packages in r and python for building regression models.

337


How useful and reliable bayes’ theorem is according to you in the machine learning context?

3


What is the difference between a.i. And machine learning, and has a.i. Been oversold for decades because of sci-fi?

75


What are the key technologies behind autonomous vehicles?

88