You work at a gaming startup that has several terabytes of structured data in Cloud Storage. This data includes gameplay time data, user metadata, and game metadata. You want to build a model that recommends new games to users that requires the least amount of coding. What should you do?

A. Load the data in BigQuery. Use BigQuery ML to train an Autoencoder model. B. Load the data in BigQuery. Use BigQuery ML to train a matrix factorization model. C. Read data to a Vertex AI Workbench notebook. Use TensorFlow to train a two-tower model. D. Read data to a Vertex AI Workbench notebook. Use TensorFlow to train a matrix factorization model.