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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

2250

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

4041

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

1 6161

 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

5003

 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

2209

 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

2404

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

5293

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)

1622

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

3078

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

4066

 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

4899

 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

2819

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

2262

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

2062

_______________ 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 2873


Un-Answered Questions { Artificial Intelligence }

How do you assess the privacy risks of a new AI project?

1


What motivates you to work in the field of Generative AI?

854


perform para-a,is true?it's perform or not?

1614


State the difference between a validation set and a test set?

386


Why do we need artificial intelligence?

1093


What is linear optimization? Where is it used?

376


Explain unsupervised learning?

353


List the variants of backpropagation?

426


What is the difference between data science, machine learning and artificial intelligence?

381


Explain eager execution?

3


Can you describe the importance of human-AI interaction in AI for improved user experience?

83


Can you use machine learning for time series analysis?

368


What is artificial intelligence journal?

1094


Explain the types of machine learning?

101


In "artificial intelligence" where you can use the bayes rule?

935