Exam Professional Machine Learning Engineer topic 1 question 52 discussion

ANS: B https://cloud.google.com/deep-learning-vm/docs/troubleshooting#resource_not_found https://cloud.google.com/compute/docs/gpus/gpu-regions-zones Resource not found Symptom: - The resource 'projects/deeplearning-platform/zones/europe-west4-c/acceleratorTypes/nvidia-tesla-k80' was not found Problem: You are trying to create an instance with one or more GPUs in a region where GPUs are not available (for example, an instance with a K80 GPU in europe-west4-c). Solution: To determine which region has the required GPU, see GPUs on Compute Engine.

it is B, the error message relates to Quota is different: https://cloud.google.com/deep-learning-vm/docs/troubleshooting#resource_not_found

B) GPUs are only available in specific regions and zones

Not all resources can be found in any region. Therefore - B

It is clearly mentioned here: https://cloud.google.com/deep-learning-vm/docs/troubleshooting

B - because it's "cant be found"

Went with B

The error says the resource was not found - hence B. If quota was the problem (A) then you'd see a different error message.

B obviously

The resource is not found because it doesn't exist in the region.

the question is asking what should you do not why is the error. Answer should be A. if you get that exception, make sure to check your limit for instance before running the job.

https://cloud.google.com/deep-learning-vm/docs/troubleshooting#resource_not_found