You work for a retail company.

Create a BigQuery table Use BigQuery ML to build a boosted tree classifier Inspect the partition rules of the trees to understand how each prediction flows through the trees.

Create a Vertex Al tabular dataset Train an AutoML model to predict customer purchases Deploy the model

to a Vertex Al endpoint and enable feature attributions Use the " explain " method to get feature attribution values for each individual prediction.

Create a BigQuery table Use BigQuery ML to build a logistic regression classification model Use the values of the coefficients of the model to interpret the feature importance with higher values corresponding to more importance.

Create a Vertex Al tabular dataset Train an AutoML model to predict customer purchases Deploy the model to a Vertex Al endpoint. At each prediction enable L1 regularization to detect non-informative features.