CompTIA DataX (DY0-001) — Question 42

Which of the following methods should a data scientist use just before switching to a potential replacement model?

Answer options

Correct answer: A

Explanation

A/B testing is essential for comparing the performance of the current model against the potential replacement model, ensuring that the new model performs better before making the switch. Performance monitoring, CI/CD, and containerization are important practices, but they do not directly address the immediate need to evaluate the effectiveness of a new model against the existing one.