Google Exam Professional Machine Learning Engineer Topic 9 Question 3 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam

Question #: 3
Topic #: 9

[All Professional Machine Learning Engineer Questions]

You 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 Al 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.

Show Suggested Answer

Suggested Answer: D

by Golda at May 05, 2022, 09:45 PM

Limited Time Offer

25%

Off

Get Premium Professional Machine Learning Engineer Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Currently there are no comments in this discussion, be the first to comment!