Data Science and Artificial Intelligence
GATE DA topic:computing PYQs
Build your understanding with focused practice from past exam papers.
Questions 81–90 of 195. Imported answers require independent review unless marked reviewed.
Question 16
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If a relational decomposition is not dependency-preserving, which one of the following relational operators will be executed more frequently in order to maintain the dependencies?
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Consider the following three relations:
Car (model, year, serial, color)
Make (maker, model)
Own (owner, serial)
A tuple in Car represents a specific car of a given model, made in a given year, with a serial number and a color. A tuple in Make specifies that a maker company makes cars of a certain model. A tuple in Own specifies that an owner owns the car with a given serial number. Keys are underlined; (owner, serial) together form key for Own. (
denotes natural join)
Which one of the following options describes what the above expression computes?
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Consider a hash table of size 10 with indices
, with the hash function
where linear probing is used to handle collisions. The hash table is initially empty and the following sequence of keys is inserted into the hash table: 1, 4, 5, 6, 14, 15. The indices where the keys 14 and 15 are stored are, respectively
Your answerChoose one option.
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Let
be a continuous random variable whose cumulative distribution function (CDF)
, for some
, is given as follows:
If the median of
is 3, then what is the value of
?Your answerChoose one option.
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Let
, where
is a standard normal random variable, and
are two unknown constants. It is given that
where
denotes the expectation of random variable
. The values of
are:Your answerChoose one option.
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It is given that
for an exponentially distributed random variable
with
, where
denotes the expectation of
. What is the value of
?(ln denotes natural logarithm)
Your answerChoose one option.
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Consider designing a linear classifier
on a dataset
,
. Recall that the sign function outputs +1 if the argument is positive, and −1 if the argument is non-positive. The parameters
and
are updated as per the following training algorithm:
whenever
. In other words, whenever the classifier wrongly predicts a sample
from the dataset,
gets updated to
, and likewise
gets updated to
. Consider the case
. ThenYour answerChoose one option.
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Consider the following Python declarations of two lists.
A=[1,2,3]
B=[4,5,6]
Which one of the following statements results in A=[1,2,3,4,5,6]?
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Consider two functions
and
. Both functions are differentiable at a point
. Which of the following functions is/are ALWAYS differentiable at
? The symbol
denotes product and the symbol
denotes composition of functions.Your answerSelect all correct options. You can choose more than one.
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Which of the following statements is/are correct?
Your answerSelect all correct options. You can choose more than one.
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