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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

2181

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

3954

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

1 6013

 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

4945

 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

2124

 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

2280

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

5224

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)

1550

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

3038

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

3977

 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

2766

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

2200

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

2012

_______________ 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 2760


Un-Answered Questions { Artificial Intelligence }

During analysis, how do you treat missing values?

407


How does automation in AI affect job markets and employment?

1


What is data augmentation in ml?

102


Define a sql query? What is the difference between select and update query?

368


What do you mean by the term linear regression?

337


What is the role of multidisciplinary teams in addressing AI ethics?

1


How do you use lambda in python?

359


Can I run tensorboard without tensorflow?

1


How to decide one problem is a machine learning problem or not?

194


How is AI applied in portfolio management?

71


What is morpheme natural language processing terminology?

900


What is the use of deep learning in today's age, and how is it adding data scientists?

1


Tell us what is your training in machine learning and what types of hands-on experience do you have?

77


Why is data munging useful?

307


What are the key steps involved in deploying LLM applications into containers?

47