MLS-C01 Question #10: Real Exam Question with Answer & Explanation

Question

A Machine Learning Specialist deployed a model that provides product recommendations on a company's website. Initially, the model was performing very well and resulted in customers buying more products on average. However, within the past few months, the Specialist has noticed that the effect of product recommendations has diminished and customers are starting to return to their original habits of spending less. The Specialist is unsure of what happened, as the model has not changed from its initial deployment over a year ago. Which method should the Specialist try to improve model performance?

Options

• AThe model needs to be completely re-engineered because it is unable to handle product inventory
• BThe model's hyperparameters should be periodically updated to prevent drift.
• CThe model should be periodically retrained from scratch using the original data while adding a
• DThe model should be periodically retrained using the original training data plus new data as