Generative AI MCQ Quiz

Generative AI MCQ Quiz

Professional Development

75 Qs

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Generative AI MCQ Quiz

Generative AI MCQ Quiz

Assessment

Quiz

Computers

Professional Development

Practice Problem

Medium

Created by

Raparthi Sravani

Used 3+ times

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75 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary objective of a GAN's generator?

To classify images

To detect anomalies

To generate realistic data that can fool the discriminator

To calculate loss functions

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a role of the discriminator in a GAN?

Distinguish real data from fake data

Provide gradient feedback to the generator

Generate new data samples

Improve over time to detect better fakes

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What kind of loss is used in the original GAN paper for the generator?

Mean Squared Error

Binary Cross-Entropy

Hinge Loss

Wasserstein Loss

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is 'mode collapse' in GANs?

The generator learns the entire data distribution

The discriminator becomes too weak

The generator produces limited types of outputs

The training fails due to overfitting

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following helps in improving GAN training stability?

Decreasing the number of epochs

Using ReLU in the discriminator

One-sided label smoothing

Removing the discriminator

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What architecture does DCGAN use in place of fully connected layers?

RNN layers

LSTM layers

Convolutional layers

Transformer blocks

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does a transposed convolution layer do in a GAN generator?

Reduces spatial resolution

Acts as a pooling layer

Upsamples feature maps

Computes gradients

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