PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #8
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #8: Real Exam Question with Answer & Explanation
Sign in or unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to reveal the answer and full explanation for question #8. The question stem and answer options stay visible for context.
Question
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?
Options
- 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.
Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to see the answer
You've previewed enough free PROFESSIONAL-MACHINE-LEARNING-ENGINEER questions. Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.