Google Cloud Professional Data Engineer — Question 210

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?

Answer options

• A. Create BigQuery connections to both Cloud SQL databases. Use BigQuery federated queries on the two databases and the Google Analytics data on BigQuery to run these queries.
• B. Create a job on Apache Spark with Dataproc Serverless to query both Cloud SQL databases and the Google Analytics data on BigQuery for these queries.
• C. Create streams in Datastream to replicate the required tables from both Cloud SQL databases to BigQuery for these queries.
• D. Create a Dataproc cluster with Trino to establish connections to both Cloud SQL databases and BigQuery, to execute the queries.

Correct answer: C

Explanation

The correct answer is C because replicating the necessary tables from both Cloud SQL databases to BigQuery using Datastream allows for efficient querying without putting additional load on the Cloud SQL databases. Options A and B do not sufficiently minimize the load on Cloud SQL, while D introduces unnecessary complexity with a Dataproc cluster.