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AAI - Quiz Time 12 05 2025

Total questions: 10

Worksheet time: 10mins

Name
Class
Date
1.

Which of the following is a primary component of a GAN architecture?

a)

Encoder

b)

 Decoder

c)

Generator

d)

Feature Mapper

2.

What is the main objective of the Discriminator in a GAN?

a)

Generate realistic data

b)

Distinguish between real and generated data

c)

Train the Generator using labels

d)

Reduce model size

3.

Which ensemble method builds multiple models in parallel to reduce variance in predictions?

a)

 Stacking

b)

Boosting

c)

Bagging

d)

Blending

4.

The latent representation in a Variational Autoencoder is used for:

a)

Calculating classification accuracy

b)

Encoding compressed data representations

c)

Saving training checkpoints

d)

Preprocessing input images

5.

CycleGANs are best used when:

a)

The dataset is labeled with pairs of corresponding images

b)

There are unpaired datasets for image translation

c)

 Only textual data is present

d)

 Training is supervised with explicit targets

6.

In Gaussian Mixture Models (GMMs), which parameter determines the spread of each Gaussian component?

a)

Mean vector

b)

Mixing coefficient

c)

Weight vector

d)

Covariance matrix

7.

Which type of autoencoder is specifically designed to handle noisy input data by learning robust representations?

a)

Sparse autoencoder

b)

Undercomplete autoencoder

c)

Denoising autoencoder

d)

Contractive autoencoder

8.

What is the primary advantage of using XGBoost over traditional gradient boosting methods?

a)

Parallel processing capability

b)

Smaller model size

c)

Fewer hyperparameters

d)

Linear time complexity

9.

In transfer learning, what is feature extraction primarily used for?

a)

Creating new features from scratch

b)

Using pre-trained model layers without modification

c)

Removing unnecessary features

d)

Transforming input data format

10.

Which component of the Metaverse ecosystem is most crucial for creating immersive AI experiences?

a)

Blockchain integration

b)

Social networking features

c)

Virtual/Augmented reality interfaces

d)

Digital currency support