A data analyst with strong SQL but limited Python experience needs to train a model directly against a 5TB BigQuery dataset without moving data to a separate ML environment. Which approach fits?

• ABigQuery ML using CREATE MODEL SQL syntax
• BExport the dataset to Cloud Storage and train with custom Vertex AI training
• CManual scripts on a local laptop
• DCloud Functions HTTP triggers