Question: Why might a machine learning engineer decide to significantly redesign a model architecture even when the change is hard to implement?

Sample answer: An engineer may accept the difficulty because an architectural redesign can be one of the few changes that improves both bias and variance at the same time, making the model better suited to the task.

Key points:

• Can reduce both bias and variance together
• Can make the model better matched to the problem

Rubric: Must state that architecture changes can simultaneously affect or reduce both bias and variance.