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This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.
| 7101. |
What is the action of task environment in artificial intelligence?(a) Problem(b) Solution(c) Agent(d) Observation |
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Answer» Correct option is (a) Problem Easiest explanation: Task environments will pose a problem and rational agent will find the solution for the posed problem. |
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| 7102. |
General games involves ____________(a) Single-agent(b) Multi-agent(c) Neither Single-agent nor Multi-agent(d) Only Single-agent and Multi-agent |
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Answer» Right answer is (d) Only Single-agent and Multi-agent Explanation: Depending upon games it could be single agent (Sudoku) or multi-agent (Chess). |
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| 7103. |
The explanation facility of an expert system may be used to __________(a) construct a diagnostic model(b) expedite the debugging process(c) explain the system’s reasoning process(d) expedite the debugging process & explain the system’s reasoning process |
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Answer» The correct choice is (d) expedite the debugging process & explain the system’s reasoning process To elaborate: None. |
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| 7104. |
In 1985, the famous chess player David Levy beat a world champion chess program in four straight games by using orthodox moves that confused the program. What was the name of the chess program?(a) Kaissa(b) CRAY BLITZ(c) Golf(d) DIGDUG |
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Answer» Correct answer is (b) CRAY BLITZ For explanation: None. |
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| 7105. |
Which of the following task/tasks Artificial Intelligence could not do yet?(a) Understand natural language robustly(b) Web mining(c) Construction of plans in real time dynamic systems(d) All of the mentioned |
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Answer» The correct option is (d) All of the mentioned Easy explanation: These are the areas in which need more focus for improvements. |
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| 7106. |
A completely automated chess engine (Learn from previous games) is based on?(a) Strong Artificial Intelligence approach(b) Weak Artificial Intelligence approach(c) Cognitive Artificial Intelligence approach(d) Applied Artificial Intelligence approach |
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Answer» The correct choice is (a) Strong Artificial Intelligence approach The best explanation: Strong Artificial Intelligence aims to build machines that can truly reason and solve problems. These machines must be self-aware and their overall intellectual ability needs to be indistinguishable from that of a human being. Strong Artificial Intelligence maintains that suitably programmed machines are capable of cognitive mental states. |
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| 7107. |
The Face Recognition system is based on?(a) Strong Artificial Intelligence approach(b) Weak Artificial Intelligence approach(c) Cognitive Artificial Intelligence approach(d) Applied Artificial Intelligence approach |
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Answer» Right option is (d) Applied Artificial Intelligence approach To elaborate: Applied Artificial Intelligence approach aims to produce commercially viable “smart” systems such as, for example, a security system that is able to recognize the faces of people who permitted to enter a particular building. Applied Artificial Intelligence has already enjoyed considerable success. |
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| 7108. |
Which of the following could be the approaches to Artificial Intelligence?(a) Strong Artificial Intelligence(b) Weak Artificial Intelligence(c) Applied Artificial Intelligence(d) All of the mentioned |
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Answer» The correct answer is (d) All of the mentioned Easiest explanation: Strong Artificial Intelligence aims to build machines that can truly reason and solve problems. Weak Artificial Intelligence deals with the creation of some form of computer-based artificial intelligence that cannot truly reason and solve problems, but can act as if it were intelligent. Applied Artificial Intelligence aims to produce commercially viable “smart” systems. In the Cognitive Artificial Intelligence approach, a computer is used to test theories about how the human mind works. |
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| 7109. |
Automated vehicle is an example of ______(a) Supervised learning(b) Unsupervised learning(c) Active learning(d) Reinforcement learning |
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Answer» Correct choice is (a) Supervised learning To explain I would say: In automatic vehicle set of vision inputs and corresponding actions are available to learner hence it’s an example of supervised learning. |
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| 7110. |
Which of the following is not an application of learning?(a) Data mining(b) WWW(c) Speech recognition(d) None of the mentioned |
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Answer» The correct answer is (d) None of the mentioned Best explanation: All mentioned options are applications of learning. |
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| 7111. |
The action of the Simple reflex agent completely depends upon __________(a) Perception history(b) Current perception(c) Learning theory(d) Utility functions |
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Answer» The correct option is (b) Current perception For explanation I would say: These agents select actions based on the current perception, ignoring the rest of the perception history. |
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| 7112. |
Which of the following is an example of active learning?(a) News Recommender system(b) Dust cleaning machine(c) Automated vehicle(d) None of the mentioned |
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Answer» Correct answer is (a) News Recommender system Easy explanation: In active learning, not only the teacher is available but the learner can ask suitable perception-action pair examples to improve performance. |
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| 7113. |
Decision trees are appropriate for the problems where ___________(a) Attributes are both numeric and nominal(b) Target function takes on a discrete number of values.(c) Data may have errors(d) All of the mentioned |
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Answer» Correct answer is (d) All of the mentioned Easy explanation: Decision trees can be used in all the conditions stated. |
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| 7114. |
Which agent deals with happy and unhappy states?(a) Simple reflex agent(b) Model based agent(c) Learning agent(d) Utility based agent |
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Answer» Correct answer is (d) Utility based agent Easy explanation: A utility function maps a state onto a real number which describes the associated degree of happiness. |
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| 7115. |
External actions of the agent is selected by __________(a) Perceive(b) Performance(c) Learning(d) Actuator |
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Answer» The correct choice is (b) Performance To explain I would say: It depends on how you want to improve and what the performance measures are. |
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| 7116. |
How many things are concerned in the design of a learning element?(a) 1(b) 2(c) 3(d) 4 |
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Answer» Correct answer is (c) 3 The explanation is: The three main issues are affected in design of a learning element are components, feedback and representation. |
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| 7117. |
Which action sequences are used to achieve the agent’s goal?(a) Search(b) Plan(c) Retrieve(d) Both Search & Plan |
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Answer» Correct choice is (d) Both Search & Plan Easiest explanation: When the environment becomes more tricky means, the agent needs plan and search action sequence to achieve the goal. |
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| 7118. |
In which of the following learning the teacher returns reward and punishment to learner?(a) Active learning(b) Reinforcement learning(c) Supervised learning(d) Unsupervised learning |
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Answer» Right answer is (b) Reinforcement learning To explain: Reinforcement learning is the type of learning in which teacher returns reward or punishment to learner. |
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| 7119. |
What is used in determining the nature of the learning problem?(a) Environment(b) Feedback(c) Problem(d) All of the mentioned |
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Answer» Correct choice is (b) Feedback The explanation is: The type of feedback is used in determining the nature of the learning problem that the agent faces. |
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| 7120. |
Which element in the agent are used for selecting external actions?(a) Perceive(b) Performance(c) Learning(d) Actuator |
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Answer» Correct option is (b) Performance Easy explanation: None. |
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| 7121. |
Which of the factors affect the performance of learner system does not include?(a) Representation scheme used(b) Training scenario(c) Type of feedback(d) Good data structures |
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Answer» Right option is (d) Good data structures Easiest explanation: Factors that affect the performance of learner system does not include good data structures. |
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| 7122. |
How many types are available in machine learning?(a) 1(b) 2(c) 3(d) 4 |
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Answer» Right option is (c) 3 To explain: The three types of machine learning are supervised, unsupervised and reinforcement. |
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| 7123. |
Artificial Intelligence has its expansion in the following application.(a) Planning and Scheduling(b) Game Playing(c) Diagnosis(d) All of the mentioned |
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Answer» The correct option is (d) All of the mentioned Explanation: All sectors require intelligence and automation for its working. |
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| 7124. |
What is Machine learning?(a) The autonomous acquisition of knowledge through the use of computer programs(b) The autonomous acquisition of knowledge through the use of manual programs(c) The selective acquisition of knowledge through the use of computer programs(d) The selective acquisition of knowledge through the use of manual programs |
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Answer» Right answer is (a) The autonomous acquisition of knowledge through the use of computer programs Best explanation: Machine learning is the autonomous acquisition of knowledge through the use of computer programs. |
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| 7125. |
Which is not the commonly used programming language for AI?(a) PROLOG(b) Java(c) LISP(d) Perl |
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Answer» Correct answer is (d) Perl Easy explanation: Because Perl is used as a script language, and not of much use for AI practice. All others are used to generate an artificial program. |
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| 7126. |
In his landmark book Cybernetics, Norbert Wiener suggested a way of modeling scientific phenomena using not energy, but ___________(a) mathematics(b) intelligence(c) information(d) history |
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Answer» The correct answer is (c) information To explain I would say: None. |
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| 7127. |
Which is the first AI programming language?(a) BASIC(b) FORTRAN(c) IPL(Inductive logic programming)(d) LISP |
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Answer» The correct option is (d) LISP The best explanation: None. |
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| 7128. |
A search algorithm takes _________ as an input and returns ________ as an output.(a) Input, output(b) Problem, solution(c) Solution, problem(d) Parameters, sequence of actions |
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Answer» Right answer is (b) Problem, solution The explanation is: A search algorithm takes input as a problem and returns a solution to the problem as an output. |
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| 7129. |
Input segments of AI programming contain(s)?(a) sound(b) smell(c) touch(d) none of the mentioned |
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Answer» The correct choice is (d) none of the mentioned For explanation: None. |
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| 7130. |
An Artificial Intelligence system developed by Terry A. Winograd to permit an interactive dialogue about a domain he called blocks-world.(a) SHRDLU(b) SIMD(c) BACON(d) STUDENT |
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Answer» The correct choice is (a) SHRDLU The best explanation: None. |
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| 7131. |
What kind of signal is used in speech recognition?(a) Electromagnetic signal(b) Electric signal(c) Acoustic signal(d) Radar |
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Answer» Right choice is (c) Acoustic signal For explanation: Acoustic signal is used to identify a sequence of words uttered by a speaker. |
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| 7132. |
A 3-input neuron is trained to output a zero when the input is 110 and a one when the input is 111. After generalization, the output will be zero when and only when the input is?(a) 000 or 110 or 011 or 101(b) 010 or 100 or 110 or 101(c) 000 or 010 or 110 or 100(d) 100 or 111 or 101 or 001 |
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Answer» Correct option is (c) 000 or 010 or 110 or 100 The best explanation: The truth table before generalization is: |
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| 7133. |
What is the primary interactive method of communication used by humans?(a) reading(b) writing(c) speaking(d) all of the mentioned |
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Answer» Correct answer is (c) speaking Best explanation: None. |
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| 7134. |
What is the dominant modality for communication between humans?(a) Hear(b) Speech(c) Smell(d) None of the mentioned |
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Answer» The correct option is (b) Speech The explanation: Speech is the dominant modality for communication between humans and reliable speech recognition between machines. |
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| 7135. |
What is the name of the function in the following statement “A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0”?(a) Step function(b) Heaviside function(c) Logistic function(d) Perceptron function |
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Answer» The correct option is (b) Heaviside function Best explanation: Also known as the step function – so answer 1 is also right. It is a hard thresholding function, either on or off with no in-between. |
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| 7136. |
Which were built in such a way that humans had to supply the inputs and interpret the outputs?(a) Agents(b) AI system(c) Sensor(d) Actuators |
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Answer» Right answer is (b) AI system For explanation: AI systems were built in such a way that humans had to supply the inputs and interpret the outputs. |
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| 7137. |
Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.(a) True – this works always, and these multiple perceptrons learn to classify even complex problems(b) False – perceptrons are mathematically incapable of solving linearly inseparable functions, no matter what you do(c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded(d) False – just having a single perceptron is enough |
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Answer» Right answer is (c) True – perceptrons can do this but are unable to learn to do it – they have to be explicitly hand-coded Easy explanation: None. |
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| 7138. |
What is perceptron?(a) a single layer feed-forward neural network with pre-processing(b) an auto-associative neural network(c) a double layer auto-associative neural network(d) a neural network that contains feedback |
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Answer» The correct option is (a) a single layer feed-forward neural network with pre-processing Easiest explanation: The perceptron is a single layer feed-forward neural network. It is not an auto-associative network because it has no feedback and is not a multiple layer neural network because the pre-processing stage is not made of neurons. |
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| 7139. |
What is an auto-associative network?(a) a neural network that contains no loops(b) a neural network that contains feedback(c) a neural network that has only one loop(d) a single layer feed-forward neural network with pre-processing |
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Answer» Right choice is (b) a neural network that contains feedback Best explanation: An auto-associative network is equivalent to a neural network that contains feedback. The number of feedback paths(loops) does not have to be one. |
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| 7140. |
A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0.(a) True(b) False(c) Sometimes – it can also output intermediate values as well(d) Can’t say |
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Answer» Correct option is (a) True For explanation: Yes the perceptron works like that. |
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| 7141. |
Neural Networks are complex ______________with many parameters.(a) Linear Functions(b) Nonlinear Functions(c) Discrete Functions(d) Exponential Functions |
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Answer» The correct option is (b) Nonlinear Functions Explanation: Neural networks parameters can be learned from noisy data and they have been used for thousands of applications, so it varies from problem to problem and thus use nonlinear functions. |
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| 7142. |
Which is true for neural networks?(a) It has set of nodes and connections(b) Each node computes it’s weighted input(c) Node could be in excited state or non-excited state(d) All of the mentioned |
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Answer» Correct answer is (d) All of the mentioned The explanation is: All mentioned are the characteristics of neural network. |
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| 7143. |
Neural Networks are complex ______________ with many parameters.(a) Linear Functions(b) Nonlinear Functions(c) Discrete Functions(d) Exponential Functions |
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Answer» Right choice is (a) Linear Functions Explanation: Neural networks are complex linear functions with many parameters. |
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| 7144. |
Why are linearly separable problems of interest of neural network researchers?(a) Because they are the only class of problem that network can solve successfully(b) Because they are the only class of problem that Perceptron can solve successfully(c) Because they are the only mathematical functions that are continue(d) Because they are the only mathematical functions you can draw |
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Answer» Right option is (b) Because they are the only class of problem that Perceptron can solve successfully Best explanation: Linearly separable problems of interest of neural network researchers because they are the only class of problem that Perceptron can solve successfully. |
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| 7145. |
The differential equations are separable y`- xy2 = 0. |
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Answer» \(y' - xy^2 = 0\) ⇒ \(\frac{dy}{dx} = xy^2\) ⇒ \(\frac{dy}{y^2} = xdx\) ⇒ \(\frac{-1}{y} = \frac{x^2}{2} + C\) (By integrating on both sides) which is solution of given differential equation. |
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| 7146. |
As a laboratory technician how can you deal with the hemorrhagic fluids in cytopathology laboratory? |
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| 7147. |
As a GDA Rohit is working in a hospital. He has to play an important role in Administration of care plan. Rohit will follow some steps to perform his work in better way. Which of the following steps will be followed by Rohit? a) Assessment, Planning intervention, Implementation, Problem identification, and Evaluation b) Assessment, Implementation, Problem identification, Planning intervention, and Evaluation c) Assessment, Planning intervention, Problem identification, Implementation, and Evaluation d) Assessment, Problem identification, Planning intervention, Implementation, and Evaluation |
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Answer» d) Assessment, Problem identification, Planning intervention, Implementation, and Evaluation |
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| 7148. |
Rohit is working as Laboratory technician in hospital. He has to know about the principle behind automated cell counters. What it can bea) X ray, Light scattering, and Computed Tomography b) Electrical impedance, light scattering and flowcytometry c) Computed tomography, light scattering and flowcytometry d) X ray, light scattering and flowcytometry |
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Answer» Correct option: b) Electrical impedance, light scattering and flowcytometry |
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| 7149. |
Mass excess for U-235 isA. 0.034 uB. 0.043 uC. 0.05 uD. 0.06 u |
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Answer» The Correct option is B. 0.043 u |
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| 7150. |
The atomic number of an element is: A. the whole number nearest to its mass B. the number of protons in its nucleus C. the nearest whole number of hydrogen atoms having the same mass as a single atom of the given element D. the number of neutrons in its nucleus E. its order of discovery |
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Answer» B. the number of protons in its nucleus |
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