What approach should you take to train this regression model?

You need to train a regression model based on a dataset containing 50,000 records that is stored in BigQuery. The data includes a total of 20 categorical and numerical features with a target variable that can include negative values. You need to minimize effort and training time while maximizing model performance.

What approach should you take to train this regression model?
A . Create a custom TensorFlow DNN model.
B . Use BQML XGBoost regression to train the model
C . Use AutoML Tables to train the model without early stopping.
D . Use AutoML Tables to train the model with RMSLE as the optimization objective

Answer: B

Explanation:

https://cloud.google.com/bigquery-ml/docs/introduction