Google Cloud Professional Data Engineer PDE — Topic 1 Question 151

Question

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 closing soon, so a rapid lift-and-shift migration is necessary. However, the data you've been using will be migrated to 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?

Accepted Answer

Correct answer: C. The correct answer is C. Option C: Use Dataproc for training existing Spark ML models, but start reading data directly from BigQuery BigQuery is a serverless, petabyte-scale data warehouse for fast SQL analytics with no infrastructure to manage. Dataproc runs managed Spark and Hadoop clusters for big-data processing.

Google Cloud Professional Data Engineer PDE — Question 151