You work for a company that sells corporate electronic products to thousands of businesses worldwide.

The key constraints in this question are that the data is already in BigQuery and you need the simplest approach .

BigQuery ML (BQML): BQML allows you to create and execute machine learning models in BigQuery using standard SQL. This eliminates the need to export data or manage separate infrastructure, making it the simplest path for data already residing in BigQuery.

AutoML Integration: By using the CREATE MODEL ... MODEL_TYPE= ' AUTOML_REGRESSOR ' statement directly in the BigQuery SQL editor, you leverage Google ' s AutoML technology to handle feature engineering and model selection automatically.

Why other options are incorrect:

Options B and D: Using Vertex AI Workbench adds the overhead of managing a notebook instance and writing Python/IPython code, which is more complex than a direct SQL statement.

Option A: A DNN regressor requires more manual tuning of hyperparameters (layers, neurons, learning rate) compared to AutoML, which is designed to automate those choices for the " simplest " experience.