Exam Professional Machine Learning Engineer topic 1 question 294 discussion

A and C (Vertex AI Workbench): While Vertex AI Workbench is a powerful platform for ML development, it requires setting up a notebook environment and writing Python code, which adds complexity compared to using BigQuery ML directly. D (ARIMA model): ARIMA models are specifically designed for time series forecasting. While they might be applicable in some CLTV scenarios, AutoML Regression provides a more general and potentially more accurate solution for predicting CLTV based on various customer features.

Exclude A and C because the question specifies "the simplest approach". BigQuery Studio is more immediate than Vertex AI Workbench Both ARIMA and AutoML works as modeling technique for customer lifetime value. The question specifies "the simplest approach", hence B AutoML is chosen over D ARIMA.