Question 37 of 280
Single answerYou are developing models to classify customer support emails. You created models with TensorFlow Estimators
using small datasets on your on-premises system, but you now need to train the models using large datasets to
ensure high performance. You will port your models to Google Cloud and want to minimize code refactoring and infrastructure overhead for easier migration from on-prem to cloud. What should you do?
✓AUse AI Platform for distributed training.
.
BCreate a cluster on Dataproc for training.
CCreate a Managed Instance Group with autoscaling.
DUse Kubeflow Pipelines to train on a Google Kubernetes Engine cluster
✓
Correct Answer: A
Use AI Platform for distributed training. .
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Explanation
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