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Scenario: You migrated a data backend for an gcp video

data-engineer-pro video for scenario: You migrated a data backend for an application that serves 10 PB of historical product data for analytics. The application

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Full Certification Question

Scenario: You migrated a data backend for an application that serves 10 PB of historical product data for analytics. The application needs to serve the last known state of a product (about 10 GB of data) through an API to other applications. The API needs to handle up to 1000 queries per second (QPS) with less than 1 second of latency. You need a cost-effective persistent storage solution to meet both the analytics and API performance requirements. Question: Which storage solution should you choose to store historical product data and serve the last state data to the API?