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Professional Data Engineer

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Topic 1 Question 203
A TensorFlow machine learning model on Compute Engine virtual machines (n2-standard-32) takes two days to complete training. The model has custom TensorFlow operations that must run partially on a CPU. You want to reduce the training time in a cost-effective manner. What should you do?
- Change the VM type to n2-highmem-32.
- Change the VM type to e2-standard-32.
- Train the model using a VM with a GPU hardware accelerator.
- Train the model using a VM with a TPU hardware accelerator.
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コメント(5)
- 正解だと思う選択肢: C
  C is the answer.
  
  https://cloud.google.com/tpu/docs/tpus#when_to_use_tpus GPUs
  
  Models with a significant number of custom TensorFlow operations that must run at least partially on CPUs
  👍 3
  zellck2022/11/29
- 正解だと思う選択肢: C
  I agree with C, for choosing a GPU one of the cases says: "Models with a significant number of custom TensorFlow operations that must run at least partially on CPUs" https://cloud.google.com/tpu/docs/tpus#when_to_use_tpus
  
  👍 1
  gudiking2022/11/29
- C https://cloud.google.com/tpu/docs/tpus#when_to_use_tpus:~:text=Models%20with%20a%20significant%20number%20of%20custom%20TensorFlow%20operations%20that%20must%20run%20at%20least%20partially%20on%20CPUs
  
  👍 1
  Atnafu2022/11/30
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