Google Cloud Professional Machine Learning Engineer — Question 287

You work for a company that sells corporate electronic products to thousands of businesses worldwide. Your company stores historical customer data in BigQuery. You need to build a model that predicts customer lifetime value over the next three years. You want to use the simplest approach to build the model. What should you do?

Answer options

• A. Create a Vertex AI Workbench notebook. Use IPython magic to run the CREATE MODEL statement to create an ARIMA model.
• B. Access BigQuery Studio in the Google Cloud console. Run the CREATE MODEL statement in the SQL editor to create an AutoML regression model.
• C. Create a Vertex AI Workbench notebook. Use IPython magic to run the CREATE MODEL statement to create an AutoML regression model.
• D. Access BigQuery Studio in the Google Cloud console. Run the CREATE MODEL statement in the SQL editor to create an ARIMA model.

Correct answer: B

Explanation

The correct answer is B because using BigQuery Studio to create an AutoML regression model is the simplest approach, as it requires minimal setup and leverages Google's automated machine learning capabilities. Options A and C involve using Vertex AI Workbench, which adds unnecessary complexity for this task. Option D is incorrect as it focuses on creating an ARIMA model, which is less suitable for predicting customer lifetime value compared to AutoML regression.