As a machine learning engineer, you have developed a model using BigQuery ML for linear regression to predict key business metrics. Your model's accuracy relies on being retrained with cumulative data collected on a weekly basis. Considering you want to minimize both development effort and scheduling costs, what is the most effective approach to schedule the retraining of your model?

Exam-Like

Use BigQuery’s scheduling service to run the model retraining query periodically.

59.6%

Create a pipeline in Vertex AI Pipelines that executes the retraining query, and use the Cloud Scheduler API to run the query weekly.

17.3%

Use Cloud Scheduler to trigger a Cloud Function every week that runs the query for retraining the model.

11.5%

Use the BigQuery API Connector and Cloud Scheduler to trigger Workflows every week that retrains the model.

11.5%

Google Professional Machine Learning Engineer