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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #116

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #116: Real Exam Question with Answer & Explanation

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Submitted by tunde_lagos· Apr 18, 2026ML pipeline operationalization

Question

You work for a gaming company that develops massively multiplayer online (MMO) games. You built a TensorFlow model that predicts whether players will make in-app purchases of more than $10 in the next two weeks. The model's predictions will be used to adapt each user's game experience. User data is stored in BigQuery. How should you serve your model while optimizing cost, user experience, and ease of management?

Options

  • AImport the model into BigQuery ML. Make predictions using batch reading data from BigQuery,
  • BDeploy the model to Vertex AI Prediction. Make predictions using batch reading data from Cloud
  • CEmbed the model in the mobile application. Make predictions after every in-app purchase event is
  • DEmbed the model in the streaming Dataflow pipeline. Make predictions after every in-app

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Topics

#Model serving#BigQuery ML#Batch prediction#MLOps
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