PROFESSIONAL-DATA-ENGINEER · Question #374
PROFESSIONAL-DATA-ENGINEER Question #374: Real Exam Question with Answer & Explanation
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Question
You have terabytes of customer behavioral data streaming from Google Analytics into BigQuery daily. Your customers' information, such as their preferences, is hosted on a Cloud SQL for MySQL database. Your CRM database is hosted on a Cloud SQL for PostgreSQL instance. The marketing team wants to use your customers' information from the two databases and the customer behavioral data to create marketing campaigns for yearly active customers. You need to ensure that the marketing team can run the campaigns over 100 times a day on typical days and up to 300 during sales. At the same time, you want to keep the load on the Cloud SQL databases to a minimum. What should you do?
Options
- ACreate BigQuery connections to both Cloud SQL databases. Use BigQuery federated queries on the two databases and the Google Analytics data on BigQuery
- BCreate a job on Apache Spark with Dataproc Serverless to query both Cloud SQL databases and the Google Analytics data on BigQuery for these queries.
- CCreate streams in Datastream to replicate the required tables from both Cloud SQL databases to BigQuery for these queries.
- DCreate a Dataproc cluster with Trino to establish connections to both Cloud SQL databases and BigQuery, to execute the queries.
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