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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #39

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #39: Real Exam Question with Answer & Explanation

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Submitted by anna_se· Apr 18, 2026ML pipeline operationalization

Question

You work for a gaming company that develops and manages a popular massively multiplayer online (MMO) game. The game's environment is open-ended, and a large number of positions and moves can be taken by a player. Your team has developed an ML model with TensorFlow that predicts the next move of each player. Edge deployment is not possible, but low-latency serving is required. How should you configure the deployment?

Options

  • AUse a Cloud TPU to optimize model training speed.
  • BUse AI Platform Prediction with a NVIDIA GPU to make real-time predictions.
  • CUse AI Platform Prediction with a high-CPU machine type to get a batch prediction for the
  • DUse AI Platform Prediction with a high-memory machine type to get a batch prediction for the

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Topics

#ML model serving#Low-latency inference#GPU acceleration#AI Platform Prediction
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