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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

3954

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

1 6019

 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

4949

 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

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

3039

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

2769

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

2203

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

2013

_______________ 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 term Pearson’s Correlation Coefficient?

370


What is pragmatic analysis?

860


You created a predictive model of a quantitative outcome variable using multiple regressions. What are the steps you would follow to validate the model?

344


A certain couple tells you that they have two children, at least one of whom is a girl. What is the probability that they have two girls?

337


Can you explain the historical context of Generative AI and how it has evolved?

75


There are also other operators, more linguistic in nature, called __________ that can be applied to fuzzy set theory. a) Hedges b) Lingual Variable c) Fuzz Variable d) None of the mentioned

3007


Explain what is the difference between inductive machine learning and deductive machine learning?

77


How many big Macs does McDonald sell every year in US?

320


What is the agent in artificial intelligence?

957


What are the challenges in defining ethical guidelines for AI?

1


How does masking work in Transformer models?

723


Why do we need artificial intelligence?

1038


Define the term cross-validation

317


What is a top-down parser?

980


Which laptop is best for research?

1