🔥 40% Off Crucial Exams Memberships — Deal ends today!

1 hour, 58 minutes remaining!
Crucial Exams

GCP Professional Data Engineer Practice Question

Your team is re-platforming a global e-commerce system to Google Cloud. The application must process thousands of short, ACID-compliant order writes per second with sub-100 ms latency for users in North America, Europe, and Asia. Analysts also need to run complex, ad-hoc SQL queries against roughly 50 TB of historical order data without impacting the customer-facing workload. Which storage architecture best meets both the transactional and analytical requirements?

  • Deploy Cloud SQL with regional read replicas for transactions, export nightly backups to Cloud Storage, and load them into BigQuery for reporting.

  • Stream all order events directly into BigQuery and use it as both the transactional system of record and the analytics engine.

  • Use Cloud Bigtable as the primary data store and query it directly from BigQuery through federated external tables.

  • Store orders in Cloud Spanner and continuously replicate Spanner change streams into BigQuery via Datastream or Dataflow for analytics.

GCP Professional Data Engineer
Storing the data
Your Score:
Settings & Objectives
Random Mixed
Questions are selected randomly from all chosen topics, with a preference for those you haven’t seen before. You may see several questions from the same objective or domain in a row.
Rotate by Objective
Questions cycle through each objective or domain in turn, helping you avoid long streaks of questions from the same area. You may see some repeat questions, but the distribution will be more balanced across topics.

Check or uncheck an objective to set which questions you will receive.

Wipe Score
Bash, the Crucial Exams Chat Bot
AI Bot