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You work for an ecommerce company that has a BigQuery dataset that contains customer purchase...

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You work for an ecommerce company that has a BigQuery dataset that contains customer purchase history, demographics, and website interactions. You need to build a machine learning (ML) model to predict which customers are most likely to make a purchase in the next month. You have limited engineering resources and need to minimize the ML expertise required for the solution. What should you do?

A.

Use BigQuery ML to create a logistic regression model for purchase prediction.

B.

Use Vertex AI Workbench to develop a custom model for purchase prediction.

C.

Use Colab Enterprise to develop a custom model for purchase prediction.

D.

Export the data to Cloud Storage, and use AutoML Tables to build a classification model for purchase prediction.

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