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Google Professional Data Engineer

Google Professional Data Engineer

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You're designing an application that uses Cloud Storage for data storage and processing. The application's pipelines fetch raw data from one Cloud Storage bucket and save processed data in another. Your goal is to build a resilient architecture against Google Cloud regional failures, aiming for the lowest possible recovery point objective (RPO) without disrupting applications that access the stored data. What strategy should you implement to achieve this resilience and minimize RPO in Cloud Storage?

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