Question 1

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 2

Which TensorFlow Lite feature is used to enable real-time inference on edge devices?

Options :

A : TensorFlow Federated

B : TensorFlow Hub

C : TensorFlow Extended

D : TensorFlow Lite Micro

Answer: D

Question 3

Which TD learning variant involves updating the value function based on the difference between the estimated value of the current state and the reward plus the value of the next state?

Options :

A : TD(λ)

B : Q-Learning

C : SARSA

D : Actor-Critic

Answer: B

Question 4

In Keras, which class is used to define a custom training loop?

Options :

A : tf.keras.Model

B : tf.keras.callbacks.Callback

C : tf.keras.layers.Layer

D : tf.keras.optimizers.Optimizer

Answer: A

Question 5

How can you handle missing values when importing a CSV file into pandas?

Options :

A : Use replace()

B : Use dropna()

C : Use convert_dtypes()

D : Use fillna()

Answer: D