Question: What is the significance of containerization in model deployment?

Options:

1. It improves model accuracy
2. It simplifies the deployment process and ensures consistency
3. It reduces the need for data preprocessing
4. It eliminates the need for model monitoring

Correct Answer: It simplifies the deployment process and ensures consistency

Solution:

Containerization simplifies the deployment process by packaging the model and its dependencies, ensuring consistency across different environments.