Question 1

What is a common strategy to handle a model that is suffering from underfitting?

Options :

A : Increase model complexity by adding more layers or neurons

B : Simplify the model architecture

C : Apply data augmentation

D : Reduce the training dataset size

Answer: A

Question 2

Which TensorFlow tool is specifically designed to optimize models for deployment on mobile and IoT devices?

Options :

A : TensorFlow Serving

B : TensorFlow Cloud

C : TensorFlow Model Analysis

D : TensorFlow Lite Converter

Answer: D

Question 3

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 4

What is a significant ethical challenge associated with the deployment of White Box XAI models?

Options :

A : Risk of revealing sensitive data through transparency

B : Difficulty in achieving model accuracy

C : Potential over-reliance on human interpretations

D : Complexity in maintaining model interpretability

Answer: A

Question 5

In a multiclass classification problem, what does the term "class imbalance" refer to?

Options :

A : Disparity in the number of samples per feature

B : Unequal distribution of classes in the dataset

C : Inconsistent labeling of training data

D : Variability in feature values across different classes

Answer: B

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