Artificial Intelligence Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)

Artificial Intelligence Interview Questions

Questions Answers Views Company eMail

Solving a constraint satisfaction problem on a finite domain is an/a ___________ problem with respect to the domain size. a) P complete b) NP complete c) NP hard d) Domain dependent

2317

____________ is/are useful when the original formulation of a problem is altered in some way, typically because the set of constraints to consider evolves because of the environment. a) Static CSPs b) Dynamic CSPs c) Flexible CSPs d) None of the above

1 3802

Fuzzy logic is a form of a) Two-valued logic b) Crisp set logic c) Many-valued logic d) Binary set logic

2278

Traditional set theory is also known as Crisp Set theory. a) True b) False

1 8131

The truth values of traditional set theory is ____________ and that of fuzzy set is __________ a) Either 0 or 1, between 0 & 1 b) Between 0 & 1, either 0 or 1 c) Between 0 & 1, between 0 & 1 d) Either 0 or 1, either 0 or 1

1 8110

Fuzzy logic is extension of Crisp set with an extension of handling the concept of Partial Truth. a) True b) False

1 3993

How many types of random variables are available? a) 1 b) 2 c) 3 d) 4

1806

The room temperature is hot. Here the hot (use of linguistic variable is used) can be represented by _______ . a) Fuzzy Set b) Crisp Set

1 4860

The values of the set membership is represented by a) Discrete Set b) Degree of truth c) Probabilities d) Both b & c

1 10100

What is meant by probability density function? a) Probability distributions b) Continuous variable c) Discrete variable d) Probability distributions for Continuous variables

1912

Japanese were the first to utilize fuzzy logic practically on high-speed trains in Sendai. a) True b) False

3007

Which of the following is used for probability theory sentences? a) Conditional logic b) Logic c) Extension of propositional logic d) None of the mentioned

3196

Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following. a) AND b) OR c) NOT d) EX-OR

1 5401

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

3005

Where does the Bayes rule can be used? a) Solving queries b) Increasing complexity c) Decreasing complexity d) Answering probabilistic query

1 3138

Un-Answered Questions { Artificial Intelligence }

Explain the benefit of naive bayes in machine learning?

101

A problem in a search space Is defined by, a) Initial state b) Goal test c) Intermediate states d) All of the above

4122

Can you explain k-mean?

398

What is a Confusion Matrix?

115

What are the recommended systems?

122

Tell us where do you usually source datasets?

How would you ensure accountability in AI systems?

How can AI be used to optimize traffic flow and reduce congestion?

Explain types of statistical data?

323

Here is a comprehensive list of over 200 job interview questions tailored to the AI-related topics you've outlined:

Is regression a machine learning?

What are expert systems in artificial intelligence?

850

Tell me how is knn different from k-means clustering?

How do you translate user needs into AI solutions?

Which objects are iterated in python?

375

For More Un-Answered { Artificial Intelligence } Questions Click Here