Artificial Intelligence

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Welcome to NTA NET ASPIRANT ACADEMY

NTA NET ASPIRANT ACADEMY is a training academy for College Lectures, Assistant Professor, Research Scholar and PG Students to make qualified for Assistant Professor & JRF in UGC NET / TNSET

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Congratulations - you have completed Artificial Intelligence. You scored %%SCORE%% out of %%TOTAL%%. Your performance has been rated as %%RATING%%

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Question 1

Which of the following statements are true? NTA NET JUNE 2020

A. Minimax search is breadth first; it processes all the nodes at a level before moving to a node in next level.

B. The effectiveness of the alpha - beta pruning is highly dependent on the order in which the states are examined.

C. The alpha - beta search algorithm computes the same optimal moves as minimax algorithm.

D. Optimal play in games of imperfact information does not require reasoning about the current and future belief states of each player

Choose the correct answer from the options given below:

A	(A) and (C) only
B	(A) and (D) only
C	(B) and (C) only
D	(C) and (D) only

Question 2

Given below are two statements: NTA NET JUNE 2020

If two variables V1 and V2 are used for clustering, then consider the following statements for K means clustering with K=3:-

Statement I: If V1 and V2 have correlation of 1 the cluster centroid will be in straight line.

Statement II: If V1 and V2 have correlation of 0 the cluster centroid will be in straight line.

In the light of above statements, choose the correct answers from the options given below:

A	Both Statement I and Statement II are true.
B	Both Statement I and Statement II are false.
C	Statement I is true but Statement II is false.
D	Statement I is false but Statement II is true.

Question 3

Given below are two statements: NTA NET JUNE 2020

Statement I: A genetic algorithm is a stochastic hill - climbing search in which a large population of states is maintained.

Statement II: In nondeterministic environments, agents can apply AND - OR search to generate contingent plans that reach the goal regardless of which outcomes occur during execution.

In the light of the above statements, choose the correct answer from the options given below:

A	Both Statement I and Statement II are true.
B	Both Statement I and Statement II are false.
C	Statement I is true but Statement II is false.
D	Statement I is false but Statement II is true.

Question 4

Which of the following is NOT true in problem solving in artificial intelligence? NTA NET JUNE 2020

A	Implements heuristic search technique
B	Solutions steps are not explicit
C	Knowledge is imprecise
D	It works on or implements repetition mechanism

Question 5

Match List I with List II

List - I	List - II
A. Branch and Bound	(i) Keeps track of all partial paths which can be candidate for further exploration
B. Steepest - accent hill climbing	(ii) Detects difference between current state and goal state
C. Constraint satisfaction	(iii) Discovers problem state(s) that satisfy a set of constraints
D. Means-end-analysis	(iv) Considers all moves from current state and selects best move

A	A- i, B - iv, C - iii, D - ii
B	A- i, B - ii, C - iii, D - iv
C	A- ii, B - i, C - iii, D - iv
D	A- ii, B - iv, C - iii, D - i

Question 6

Match List I with List II NTA NET JUNE 2020

List - I	List - II
A. Greedy Best - first search	(i) Space complexity is O(d) where d=depth of the deepest optimal solution
B. A*	(ii) Incomplete even if the search space is finite.
C. Recursive Best - first search	(iii) Optimal if optimal solution is reachable; otherwise, returns the beat reachable optimal solution.
D. SMA*	(iv) Computation and space complexity is too high

Choose the correct answer from the options given below:

A	A - ii, B - iv, C - i, D - iii
B	A - ii, B - iii, C - i, D - iv
C	A - iii, B - ii, C - iv, D - i
D	A - iii, B - iv, C - ii, D - i

Question 7

Consider the following: NTA NET DECEMBER 2019

A. Trapping at local Maxima

B. Reaching a plateau

C. Traversal along the ridge.

Which of the following option represents shortcomings of the hill climbing algorithm?

A	(A) and (B) only
B	(A) and (C) only
C	(B) and (C) only
D	(A),(B) and (C) only

Question 8

Consider the following learning algorithms: NTA NET DECEMBER 2019

A. Logistic regression

B. Support Vector Machine (SVM)

C. Linear regression

Which of the following option represents classification algorithms?

A	(A) and (B) only
B	(A) and (C) only
C	(B) and (C) only
D	(A), (B) and (C) only

Question 9

In Artificial Intelligence (AI), an environment is uncertain if it is _______. CBSE NET JULY 2018

A	Not fully observable and not deterministic
B	Not fully observable or not deterministic
C	fully observable but not deterministic
D	Not fully observable but deterministic

Question 10

In Artificial Intelligence (AI), a simple reflex agent selects actions on the basis of _____. CBSE NET JULY 2018

A	Current percept, Completely ignoring rest of the percept history.
B	rest of the percept history, completely ignoring current percept.
C	both current percept and complete percept history
D	both current percept and just previous percept

Question 11

In heuristic search algorithms in Artificial Intelligence(AI), if a collection of admissible heuristics h₁.....h_m is available for a problem and none of them dominates any of the others, which should we choose? CBSE NET JULY 2018

A	h(n) = max{h1(n),......,hm(n)}
B	h(n) = min{h1(n),......,hm(n)}
C	h(n) = avg{h1(n),......,hm(n)}
D	h(n) = sum{h1(n),......,hm(n)}

Question 12

Consider the following sentences regarding A^*, an informed search strategy in Artificial Intelligence (AI). CBSE NET JULY 2018

(A) A^* expands all nodes with f(n)*.

(B) A^* expands no nodes with f(n)≥C^*.

(C) Pruning is integral to A^*.

Here, C^* is the cost of the optimal solution path.

Which of the following is correct with respect to the above statements?

A	Both Statement (A) and Statement (B) are true
B	Both Statement (A) and Statement (C) are true
C	Both Statement (B) and Statement (C) are true
D	All the statements (A), (B) and (C) are true.

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There are 12 questions to complete.