You are a data scientist working for a large retailer, and your current task is to build a predictive model to determine customer churn. The company has provided you with a dataset that includes historical customer data such as demographics, purchase history, and website activity. You plan to build the model using BigQuery ML. After building the model, you need to thoroughly evaluate its performance to ensure it meets business requirements for accuracy and reliability. What should you do?

Exam-Like

Create a linear regression model in BigQuery ML, and register the model in Vertex AI Model Registry. Evaluate the model performance in Vertex AI.

7.4%

Create a logistic regression model in BigQuery ML and register the model in Vertex AI Model Registry. Evaluate the model performance in Vertex AI.

50.9%

Create a linear regression model in BigQuery ML. Use the ML.EVALUATE function to evaluate the model performance.

14.8%

Create a logistic regression model in BigQuery ML. Use the ML.CONFUSION_MATRIX function to evaluate the model performance._

26.9%

Google Professional Machine Learning Engineer