nerdexam
GoogleGoogle

PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #287

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #287: Real Exam Question with Answer & Explanation

Sign in or unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to reveal the answer and full explanation for question #287. The question stem and answer options stay visible for context.

Submitted by marco_it· Apr 18, 2026ML model development

Question

You work at a gaming startup that has several terabytes of structured data in Cloud Storage. This data includes gameplay time data, user metadata, and game metadata. You want to build a model that recommends new games to users that requires the least amount of coding. What should you do?

Options

  • ALoad the data in BigQuery. Use BigQuery ML to train an Autoencoder model.
  • BLoad the data in BigQuery. Use BigQuery ML to train a matrix factorization model.
  • CRead data to a Vertex AI Workbench notebook. Use TensorFlow to train a two-tower model.
  • DRead data to a Vertex AI Workbench notebook. Use TensorFlow to train a matrix factorization

Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to see the answer

You've previewed enough free PROFESSIONAL-MACHINE-LEARNING-ENGINEER questions. Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.

Topics

#Recommendation Systems#BigQuery ML#Matrix Factorization#Low-code ML
Full PROFESSIONAL-MACHINE-LEARNING-ENGINEER PracticeBrowse All PROFESSIONAL-MACHINE-LEARNING-ENGINEER Questions