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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #223

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #223: Real Exam Question with Answer & Explanation

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Submitted by noor.lb· Apr 18, 2026ML model development

Question

You are pre-training a large language model on Google Cloud. This model includes custom TensorFlow operations in the training loop. Model training will use a large batch size, and you expect training to take several weeks. You need to configure a training architecture that minimizes both training time and compute costs. What should you do?

Options

  • AImplement 8 workers of a2-megagpu-16g machines by using
  • BImplement a TPU Pod slice with -accelerator-type=v4-l28 by using tf.distribute.TPUStrategy.
  • CImplement 16 workers of c2d-highcpu-32 machines by using tf.distribute.MirroredStrategy.
  • DImplement 16 workers of a2-highgpu-8g machines by using

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Topics

#Large Language Models (LLM)#Distributed Training#TPU / Accelerators#Performance Optimization
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