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.