1 )What is Artificial intelligence?
A. Putting your intelligence into Computer
B. Programming with your own intelligence
C. Making a Machine intelligent
D. Playing a Game
ANSWER: C
2) Strong Artificial Intelligence is
A. the embodiment of human intellectual capabilities within a computer
B. a set of computer programs that produce output that would be considered
to reflect intelligence if it were generated by humans
C. the study of mental faculties through the use of mental models implemented on a computer
D. all of the mentioned
ANSWER: A
3 )In which of the following situations might a blind search be acceptable?
A. real-life situation
B. complex game
C. small search space
D. all of the mentioned
ANSWER: C
4 )Which search method takes less memory?
A. Depth-First Search
B. Breadth-First search
C. Optimal search
D. Linear Search
ANSWER: A
5) A heuristic is a way of trying
A. To discover something or an idea embedded in a program
B. To search and measure how far a node in a search tree seems to be from a goal
C. To compare two nodes in a search tree to see if one is better than the other is
D. All of the mentioned
ANSWER: D
6) Which is not a property of representation of knowledge?
A. Representational Verification
B. Representational Adequacy
C. Inferential Adequacy
D. Inferential Efficiency
ANSWER: A
7) A.M. turing developed a technique for determining whether a computer could or could not demonstrate the artificial Intelligence, Presently, this technique is called
A. Turing Test
B. Algorithm
C. Boolean Algebra
D. Logarithm
ANSWER: A
8 )A Personal Consultant knowledge base contain information in the form of
A. parameters
B. contexts
C. production rules
D. all of the mentioned
ANSWER: D
9 )Which approach to speech recognition avoids the problem caused by the variation in speech patterns among different speakers?
A. Continuous speech recognition
B. Isolated word recognition
C. Connected word recognition
D. Speaker-dependent recognition
ANSWER: D
10 )Which of the following, is a component of an expert system?
A. inference engine
B. knowledge base
C. user interface
D. all of the mentioned
ANSWER: D
11 )A computer vision technique that relies on image templates is
A. edge detection
B. binocular vision
8th IT- Al Question Bank
C. model-based vision
D. robot vision
ANSWER: C
12) DARPA, the agency that has funded a great deal of American Artificial Intelligence research, is part of the Department of
A. Defense
B. Energy
C. Education
D. Justice
ANSWER: A
13 )Which of these schools was not among the early leaders in Artificial Intelligence research?
A. Dartmouth University
B. Harvard University
C. Massachusetts Institute of Technology
D. Stanford University
ANSWER: B
14 )Who is the “father” of artificial intelligence?
A. Fisher Ada
B. John McCarthy
C. Allen Newell
D. Alan Turning
ANSWER: B
15 )A process that is repeated, evaluated, and refined is called
A. diagnostic
B. descriptive
C. interpretive
D. iterative ANSWER: D
16 )Visual clues that are helpful in computer vision include
A. color and motion
B. depth and texture
C. height and weight
D. color and motion, depth and texture
ANSWER: D
17 General games involves
A. Single-agent
B. Multi-agent
C. Neither Single-agent nor Multi-agent
D. Only Single-agent and Multi-agent
ANSWER: D
18 Adversarial search problems uses
A. Competitive Environment
B. Cooperative Environment
C. Neither Competitive nor Cooperative Environment
D. Only Competitive and Cooperative Environment
ANSWER: A
19 Zero sum game has to be a game.
A. Single player
B. Two player
C. Multiplayer
D. Three player
ANSWER: C
20 A game can be formally defined as a kind of search problem with the following components.
A. Initial State
B. Successor Function
C. Terminal Test
D. All of the mentioned
ANSWER: D
21 The initial state and the legal moves for each side define the for the game.
A. Search Tree
B. Game Tree
C. State Space Search
D. Forest
ANSWER: B
22 General algorithm applied on game tree for making decision of win/lose is
A. DFS/BFS Search Algorithms
B. Heuristic Search Algorithms
C. Greedy Search Algorithms
D. MIN/MAX Algorithms
ANSWER: D
23 What is the complexity of minirnax algorithm?
A. Same as of DES
B. Space — bm and time — bm
C. Time — bm and space — bm
D. Same as BFS
ANSWER: A
24 Which is the most straightforward approach for planning algorithm?
A. Best-first search
B. State-space search
C. Depth-first search
D. Hill-climbing search
ANSWER: B
25 What are taken into account of state-space search?
A. Postconditions
B. Preconditions
C. Effects
D. Both Preconditions & Effects
ANSWER: D
26 How many ways are available to solve the state-space search?
A. 1
B. 2
C. 3
D. 4
ANSWER: B
27 What is the other name for forward state-space search?
A. Progression planning
B. Regression planning
C. Test planning
D. None of the mentioned
ANSWER: A
28 How many states are available in state-space search?
A. 1
B. 2
C. 3
D. 4
ANSWER: D
29 What is the main advantage of backward state-space search?
A. Cost
B. Actions
C. Relevant actions
D. All of the mentioned
ANSWER: C
30 What is the other name of the backward state-space search?
A. Regression planning
B. Progression planning
C. State planning
D. Test planning
ANSWER: A
31 What is meant by consistent in state-space search?
A. Change in the desired literals
B. Not any change in the literals
C. No change in goal state
D. None of the mentioned
ANSWER: B
32 What will happen if a predecessor description is generated that is satisfied by the initial state of the planning problem?
A. Success
B. Error
C. Compilation
D. Termination
ANSWER: 0
33 Which approach is to pretend that a pure divide and conquer algorithm will work?
A. Goal independence
B. Subgoal independence
C. Both Goal & Subgoal independence
D. None of the mentioned
ANSWER: B
34 Which search is equal to minimax search but eliminates the branches that can’t influence the final decision?
A. Depth-first search
B. Breadth-first search
C. Alpha-beta pruning
D. None of the mentioned
ANSWER: C
35 Which values are independant in minimax search algorithm?
A. Pruned leaves x and y
B. Every states are dependant
C. Root is independant
D. None of the mentioned
ANSWER: A
36 To which depth does the alpha-beta pruning can be applied?
A. 10 states
B. 8 States
C. 6 States
D. Any depth
ANSWER: D
37 Which search is similar to minimax search?
A. Hill-climbing search
B. Depth-first search
C. Breadth-first search
D. All of the mentioned
ANSWER: B
38 Which value is assigned to alpha and beta in the alpha-beta pruning?
A. Alpha = max
B. Beta = min
C. Beta = max
D. Both Alpha = max & Beta = min
ANSWER: D
39 Where does the values of alpha-beta search get updated?
A. Along the path of search
B. Initial state itself
C. At the end
D. None of the mentioned
ANSWER: A
40 How the effectiveness of the alpha-beta pruning gets increased?
A. Depends on the nodes
B. Depends on the order in which they are executed
C. All of the mentioned
D. None of the mentioned
ANSWER: A
41 What is called as transposition table?
A. Hash table of next seen positions
B. Hash table of previously seen positions
C. Next value in the search
D. None of the mentioned
ANSWER: B
42 Which is identical to the closed list in Graph search?
A. Hill climbing search algorithm
B. Depth-first search
C. Transposition table
D. None of the mentioned
ANSWER: C
43 Which function is used to calculate the feasibility of whole game tree?
A. Evaluation function
B. Transposition
C. Alpha-beta pruning
D. All of the mentioned ANSWER: A
44 Knowledge and reasoning also play a crucial role in dealing with environment.
A. Completely Observable
B. Partially Observable
C. Neither Completely nor Partially Observable
D. Only Completely and Partially Observable
ANSWER: B
45 Treatment chosen by doctor for a patient for a disease is based on
A. Only current symptoms
B. Current symptoms plus some knowledge from the textbooks
C. Current symptoms plus some knowledge from the textbooks plus experience
D. All of the mentioned
ANSWER: C
46 Choose the correct option. A. Knowledge base (KB. is consists of set of statements.B. Inference is deriving a new sentence from the KB.
A. A is true, B is true
B. A is false, B is false
C. A is true, B is false
D. A is false, B is true
ANSWER: A
47 Wumpus World is a classic problem, best example of
A. Single player Game
B. Two player Game
C. Reasoning with Knowledge
D. Knowledge based Game
ANSWER: C
48 ‘a I= 13 Ito mean that the sentence a entails the sentence 13) if and only if, in every model in which a is 13 is also
A. True, true
B. True, false
C. False, true
D. False, false
ANSWER: A
49 Which is not a property of representation of knowledge?
A. Representational Verification
B. Representational Adequacy
C. Inferential Adequacy
D. Inferential Efficiency
ANSWER: A
50 Which is not Familiar Connectives in First Order Logic?
A. and
B. iff
C. or
D. not
ANSWER: D
51 Inference algorithm is complete only if
A. It can derive any sentence
B. It can derive any sentence that is an entailed version
C. It is truth preserving
D. it can derive any sentence that is an entailed version & It is truth preserving
ANSWER: D
52 A constructive approach in which no commitment is made unless it is necessary to do so is
A. Least commitment approach
B. Most commitment approach
C. Nonlinear planning
D. Opportunistic planning
ANSWER: A
53 Uncertainty arises in the wumpus world because the agent’s sensors give only
A. Full & Global information
B. Partial & Global Information
C. Partial & local Information
D. Full & local information
ANSWER: C
54 A Hybrid Bayesian network contains
A. Both discrete and continuous variables
B. Only Discrete variables
C. Only Discontinuous variable
D. Both Discrete and Discontinuous variable
ANSWER: A
55 How fuzzy logic different from conventional control method ?
A. IF and THEN Approach
B. FOR Approach
C. WHILE Approach
D. DO Approach
ANSWER: A
56 If a hypothesis says it should be positive, but in fact it is negative, we call it
A. A consistent hypothesis
B. A false negative hypothesis
C. A false positive hypothesis
D. A specialized hypothesis ANSWER: C
57 Which is true for Decision theory?
A. Decision Theory = Probability theory + utility theory
B. Decision Theory = Inference theory + utility theory
C. Decision Theory = Uncertainty + utility theory
D. Decision Theory = Probability theory + preference
ANSWER: C
58 A constructive approach in which no commitment is made unless it is necessary to do so is
A. Least commitment approach
B. Most commitment approach
C. Nonlinear planning
D. Opportunistic planning
ANSWER: A
59 What is the form of Fuzzy logic?
A. Two-valued logic
B. Crisp set logic
C. Many-valued logic
D. Binary set logic
ANSWER: C
60 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
ANSWER: A
61 The room temperature is hot. Here the hot (use of linguistic variable is useD. can be represented by
A. Fuzzy Set
B. Crisp Set
C. Fuzzy & Crisp Set
D. None of the mentioned
ANSWER: A
62 The values of the set membership is represented by
A. Discrete Set
B. Degree of truth
C. Probabilities
D. Both Degree of truth & Probabilities
ANSWER: B
63 Fuzzy Set theory defines fuzzy operators. Choose the fuzzy operators from the following.
A. AND
B. OR
C. NOT
D. All of the mentioned
ANSWER: D
64 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
ANSWER: A
65 Fuzzy logic is usually represented as
A. IF-THEN-ELSE rules
B. IF-THEN rules
C. Both IF-THEN-ELSE rules & IF-THEN rules
D. None of the mentioned
ANSWER: B
66 ________ is/are the way/s to represent uncertainty.
A. Fuzzy Logic
B. Probability
C. Entropy
D. All of the mentioned
ANSWER: D
67 ________are algorithms that learn from their more complex environments (hence eco) to generalize, approximate and simplify solution logic.
A. Fuzzy Relational DB
B. Ecorithms
C. Fuzzy Set
D. None of the mentioned
ANSWER: C
68 How many terms are required for building a bayes model?
A. 1
B. 2
C. 3
D. 4
ANSWER: C
69 What is needed to make probabilistic systems feasible in the world?
A. Reliability
B. Crucial robustness
8th IT- AI Question Bank
C. Feasibility
D. None of the mentioned
ANSWER: B
70 Where does the bayes rule can be used?
A. Solving queries
B. Increasing complexity
C. Decreasing complexity
D. ANSWERing probabilistic query
ANSWER: D
71 What does the bayesian network provides?
A. Complete description of the domain
B. Partial description of the domain
C. Complete description of the problem
D. None of the mentioned
ANSWER: A
72 How the entries in the full joint probability distribution can be calculated?
A. Using variables
B. Using information
C. Both Using variables & information
D. None of the mentioned
ANSWER: B
73 How the bayesian network can be used to answer any query ?
A. Full distribution
B. Joint distribution
C. Partial distribution
D. All of the mentioned
ANSWER: B
74 How the compactness of the bayesian network can be described?
A. Locally structured
B. Fully structured
C. Partial structure
D. All of the mentioned
ANSWER: A
75 To which does the local structure is associated?
A. Hybrid
B. Dependant
C. Linear
D. None of the mentioned
ANSWER: C
76 Which condition is used to influence a variable directly by all the others?
A. Partially connected
B. Fully connected
C. Local connected
D. None of the mentioned
ANSWER: B
77 What is the consequence between a node and its predecessors while creating bayesian network?
A. Functionally dependent
B. Dependant
C. Conditionally independent
D. Both Conditionally dependant & Dependant
ANSWER: C
78 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
ANSWER: A
79 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
ANSWER: B
80 A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2. The inputs are 4, 10, 5 and 20 respectively. What will be the output?
A. 238
B. 76
C. 119
D. 123
ANSWER: A
81 Which of the following is true? (I) On average, neural networks have higher computational rates than conventional computers. (ii) Neural networks learn by example. (iii) Neural networks mimic the way the human brain works.
A. All of the mentioned are true
B. (ii) and NO are true
C. 0), (ii) and (iii) are true
D. None of the mentioned
ANSWER: A
82 Which of the following is true for neural networks? 0) The training time depends on the size of the network. (ii) Neural networks can be simulated on a conventional computer. (iii) Artificial neurons are identical in operation to biological ones.
A. All of the mentioned
B. (ii) is true
C. (i) and (ii) are true
D. None of the mentioned
ANSWER: C
83 What are the advantages of neural networks over conventional computers? (F) They have the ability to learn by example (ii) They are more fault tolerant (iii)They are more suited for real time operation due to their high `computational’ rates
A. (i) and (ii) are true
B. (I) and (iii) are true
C. Only (i)
D. All of the mentioned
ANSWER: D
84 Which of the following is true?
Single layer associative neural networks do not have the ability to:
(i) perform pattern recognition
(ii) find the parity of a picture
(iii)determine whether two or more shapes in a picture are connected or not
A. (ii) and (iii) are true
B. (ii) is true
C. All of the mentioned
D. None of the mentioned
ANSWER: A
85 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
ANSWER: D
86 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
ANSWER: C
87 Why is the XOR problem exceptionally interesting to neural network researchers?
A. Because it can be expressed in a way that allows you to use a neural network
B. Because it is complex binary operation that cannot be solved using neural networks
C. Because it can be solved by a single layer perceptron
D. Because it is the simplest linearly inseparable problem that exists.
ANSWER: D
88 What is back propagation?
A. It is another name given to the curvy function in the perceptron
B. It is the transmission of error back through the network to adjust the inputs
C. It is the transmission of error back through the network to allow weights to be adjusted so that the network can learn
D. None of the mentioned
ANSWER: C
89 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
ANSWER: B
90 Which of the following is not the promise of artificial neural network?
A. It can explain result
B. It can survive the failure of some nodes
C. It has inherent parallelism
D. It can handle noise
ANSWER: A
91 Neural Networks are complex with many parameters.
A. Linear Functions
B. Nonlinear Functions
C. Discrete Functions
D. Exponential Functions
ANSWER: A
92 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 O.
A. True
B. False
C. Sometimes — it can also output intermediate values as well
D. Can’t say
ANSWER: A
93 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
ANSWER: B
94 What is a Cybernetics?
A. Study of communication between two machines
B. Study of communication between human and machine
C. Study of communication between two humans
D. Study of Boolean values
ANSWER: B
95 What is the goal of artificial intelligence?
A. To solve real-world problems
B. To solve artificial problems
C. To explain various sorts of intelligence
D. To extract scientific causes ANSWER: C
96 An algorithm is complete if
A. It terminates with a solution when one exists
B. It starts with a solution
8th IT- AI Question Bank
C. It does not terminate with a solution
D. It has a loop
ANSWER: A
97 Which is true regarding BFS (Breadth First Search)?
A. BFS will get trapped exploring a single path
B. The entire tree so far been generated must be stored in BFS
C. BFS is not guaranteed to find a solution if exists
D. BFS is nothing but Binary First Search
ANSWER: B
98 What is a heuristic function?
A. A function to solve mathematical problems
B. A function which takes parameters of type string and returns an integer value
C. A function whose return type is nothing
D. A function that maps from problem state descriptions to measures of desirability
ANSWER: D
99 The traveling salesman problem involves n cities with paths connecting the cities. The time taken for traversing through all the cities, without knowing in advance the length of a minimum tour, is
A. 0(n)
B. 0(n2)
C. 0(n1)
D. 0(n/2)
ANSWER: C
100 What is the problem space of means-end analysis?
A. An initial state and one or more goal states
B. One or more initial states and one goal state
C. One or more initial states and one or more goal state
D. One initial state and one goal state
ANSWER: A
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1 Comments
Thank you sir 🙏❤️
ReplyDeleteIf you have any doubt, please let me know here.