Question

A telecom company has already built and validated a machine learning model that predicts whether a customer is likely to cancel their subscription. Each night, a batch job runs the current customer records through this model to generate a churn-risk score for every account, which the retention team uses the next morning. Which phase of the ML process does this nightly batch job represent?

Accepted Answer

Inference, because the trained model is applying learned patterns to new data to produce predictions

Answer

Training, because the model is processing customer records to improve its accuracy

Answer

Feature engineering, because the customer records are being transformed into scores

Answer

Data labeling, because each account receives a churn-risk category