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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #305

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

The correct answer is B. Access BigQuery Studio in the Google Cloud console. Run the CREATE MODEL statement in the. This approach is the simplest for building a predictive model within BigQuery. Using AutoML regression allows you to leverage Google Cloud's automated machine learning capabilities, which simplifies the modeling process and requires minimal coding or manual configuration. Running

Submitted by rohit_dlh· Apr 18, 2026ML model development

Question

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?

Options

  • ACreate a Vertex AI Workbench notebook. Use IPython magic to run the CREATE MODEL
  • BAccess BigQuery Studio in the Google Cloud console. Run the CREATE MODEL statement in the
  • CCreate a Vertex AI Workbench notebook. Use IPython magic to run the CREATE MODEL statement
  • DCREATE MODEL

How the community answered

(29 responses)
  • A
    3% (1)
  • B
    83% (24)
  • C
    10% (3)
  • D
    3% (1)

Explanation

This approach is the simplest for building a predictive model within BigQuery. Using AutoML regression allows you to leverage Google Cloud's automated machine learning capabilities, which simplifies the modeling process and requires minimal coding or manual configuration. Running the CREATE MODEL statement directly in BigQuery Studio provides an intuitive interface for managing and training your model using the existing historical customer data stored in BigQuery.

Topics

#BigQuery ML#Customer Lifetime Value#Model Building#Simplest Approach

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