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

Options:

1. To improve model accuracy
2. To ensure consistent environments across deployments
3. To reduce model size
4. To enhance data preprocessing

Correct Answer: To ensure consistent environments across deployments

Solution:

Containerization ensures consistent environments across deployments, reducing compatibility issues.