Question: What is the role of a load balancer in model deployment?

Options:

1. To train multiple models simultaneously
2. To distribute incoming requests across multiple instances of a model
3. To store model artifacts
4. To preprocess input data

Correct Answer: To distribute incoming requests across multiple instances of a model

Solution:

A load balancer distributes incoming requests across multiple instances of a model to ensure efficient resource utilization and high availability.