Question 1

Which technique is used to visualize high-dimensional word embeddings in 2D or 3D?

Options :

A : UMAP

B : PCA

C : t-SNE

D : ICA

Answer: C

Question 2

Which GAN variant is specifically designed to improve stability and training efficiency?

Options :

A : Wasserstein GAN (WGAN)

B : CycleGAN

C : Conditional GAN (cGAN)

D : Deep Convolutional GAN (DCGAN)

Answer: A

Question 3

What is the main challenge associated with the variance of Policy Gradient estimates?

Options :

A : It can lead to slow convergence and unstable learning

B : It complicates the implementation of target networks

C : It requires large experience replay buffers

D : It makes the reward signals less informative

Answer: A

Question 4

During the model development phase, which step is crucial for ensuring that a model generalizes well to unseen data?

Options :

A : Model Deployment

B : Hyperparameter Tuning

C : Feature Engineering

D : Data Splitting into Training, Validation, and Test Sets

Answer: D

Question 5

How does the Dueling DQN architecture enhance the learning of value functions?

Options :

A : By incorporating a second experience replay buffer for improved stability

B : By combining Q-values with advantage values to better separate value and advantage estimates

C : By adding a recurrent layer to capture temporal dependencies

D : By using a separate network to compute the discount factor for future rewards

Answer: B

Free CAIE Mock Exam – Practice Online Confidently