Google Exam Professional-Data-Engineer Topic 4 Question 13 Discussion

Actual exam question for Google's Google Cloud Certified Professional Data Engineer exam

Question #: 13
Topic #: 4

[All Google Cloud Certified Professional Data Engineer Questions]

You work for an advertising company, and you've developed a Spark ML model to predict click-through rates at advertisement blocks. You've been developing everything at your on-premises data center, and now your company is migrating to Google Cloud. Your data center will be migrated to BigQuery. You periodically retrain your Spark ML models, so you need to migrate existing training pipelines to Google Cloud. What should you do?

AUse Cloud ML Engine for training existing Spark ML models

BRewrite your models on TensorFlow, and start using Cloud ML Engine

CUse Cloud Dataproc for training existing Spark ML models, but start reading data directly from BigQuery

DSpin up a Spark cluster on Compute Engine, and train Spark ML models on the data exported from BigQuery

Show Suggested Answer

Suggested Answer: A

by Erick at May 04, 2022, 03:36 AM

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