Data Science and Artificial Intelligence
GATE DA topic:computing PYQs
Build your understanding with focused practice from past exam papers.
Questions 141–150 of 195. Imported answers require independent review unless marked reviewed.
Question 11
Open questionDAMCQ1 markNeeds review
Consider the following statements:
(i) The mean and variance of a Poisson random variable are equal.
(ii) For a standard normal random variable, the mean is zero and the variance is one.
Which ONE of the following options is correct?
Your answerChoose one option.
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Three fair coins are tossed independently. T is the event that two or more tosses result in heads. S is the event that two or more tosses result in tails.
What is the probability of the event
?Your answerChoose one option.
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Consider the matrix
.Which ONE of the following statements is TRUE?
Your answerChoose one option.
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Open questionDAMCQ1 markNeeds review
Consider performing depth-first search (DFS) on an undirected and unweighted graph
starting at vertex
. For any vertex
in
,
is the length of the shortest path from
to
. Let
be an edge in
such that
. If the edge
is explored first in the direction from
to
during the above DFS, then
becomes a ______ edge.Your answerChoose one option.
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Open questionDAMCQ1 markNeeds review
For any twice differentiable function
, if at some
,
and
, then the function
necessarily has a _____ at
. Note:
denotes the set of real numbers.Your answerChoose one option.
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Open questionDAMCQ1 markNeeds review
Match the items in Column 1 with the items in Column 2 in the following table:
Column 1: (p) First In First Out; (q) Lookup Operation; (r) Last In First Out.
Column 2: (i) Stacks; (ii) Queues; (iii) Hash Tables
Your answerChoose one option.
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Open questionDAMCQ1 markNeeds review
Consider the dataset with six datapoints:
, where
,
,
,
,
,
and the labels are given by
, and
. A hard margin linear support vector machine is trained on the above dataset. Which ONE of the following sets is a possible set of support vectors?Your answerChoose one option.
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Open questionDAMCQ1 markNeeds review
Match the items in Column 1 with the items in Column 2 in the following table:
Column 1: (p) Principal Component Analysis; (q) Naïve Bayes Classification; (r) Logistic Regression.
Column 2: (i) Discriminative Model; (ii) Dimensionality Reduction; (iii) Generative Model
Your answerChoose one option.
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Open questionDAMCQ1 markNeeds review
Euclidean distance based
-means clustering algorithm was run on a dataset of 100 points with
. If the points
and
are both part of cluster 3, then which ONE of the following points is necessarily also part of cluster 3?Your answerChoose one option.
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Open questionDAMCQ1 markNeeds review
Given a dataset with
binary-valued attributes (where
) for a two-class classification task, the number of parameters to be estimated for learning a naïve Bayes classifier isYour answerChoose one option.
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