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Google Professional Machine Learning Engineer

280 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 209 of 280

Single answer
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?
AImplement 8 workers of a2-megagpu-16g machines by using tf.distribute.MultiWorkerMirroredStrategy.
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 tf.distribute.MultiWorkerMirroredStrategy.
Correct Answer: B

Implement a TPU Pod slice with -accelerator-type=v4-l28 by using tf.distribute.TPUStrategy.

Explanation

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