Question 1

Which optimization technique involves designing algorithms to achieve the best possible worst-case performance by reducing the worst-case time complexity?

Options :

A : Amortized Analysis

B : Exact Analysis

C : Empirical Analysis

D : Asymptotic Analysis

Answer: D

Question 2

In the context of GANs (Generative Adversarial Networks), what is the primary objective of the discriminator network?

Options :

A : Optimize the loss function of the generator

B : Generate new data samples

C : Balance the generator-s performance

D : Distinguish between real and generated data

Answer: D

Question 3

Which method in Python is used to align a string to the center within a specified width, padding it with a specified character?

Options :

A : ljust()

B : rjust()

C : pad()

D : center()

Answer: D

Question 4

Which Python feature allows for the extension of existing classes or modules without modifying their source code?

Options :

A : Encapsulation

B : Composition

C : Inheritance

D : Polymorphism

Answer: C

Question 5

Which type of neural network is most effective for processing sequential data like time series or natural language?

Options :

A : Convolutional Networks

B : Decision Trees

C : Support Vector Machines

D : RNN

Answer: D