PROFESSIONAL-DATA-ENGINEER · Question #316
PROFESSIONAL-DATA-ENGINEER Question #316: Real Exam Question with Answer & Explanation
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Question
You migrated a data backend for an application that serves 10 PB of historical product data for analytics. Only the last known state for a product, which is about 10 GB of data, needs to be served through an API to the other applications. You need to choose a cost-effective persistent storage solution that can accommodate the analytics requirements and the API performance of up to 1000 queries per second (QPS) with less than 1 second latency. What should you do?
Options
- A1. Store the historical data in BigQuery for analytics.
- B1. Store the products as a collection in Firestore with each product having a set of historical changes.
- C1. Store the historical data in Cloud SQL for analytics.
- D1. Store the historical data in BigQuery for analytics.
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