QuestionQ28

Architecting low-code AI solutions

You work for a company that sells corporate electronic products to thousands of businesses around the world. Your company keeps historical customer data in BigQuery. You need to build a model that predicts customer lifetime value for the next three years. You want to use the simplest approach to build the model. What should you do?

Explanation

Customer lifetime value is a continuous numeric outcome, making AutoML regression the appropriate model type. BigQuery ML can create AutoML regression models with a SQL CREATE MODEL statement directly in BigQuery Studio, which keeps the data and model-building workflow in BigQuery and requires less setup than a Vertex AI Workbench notebook. ARIMA is for time-series forecasting rather than customer-level regression.

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