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Your company stores data from multiple sources that have different data storage requirements.

Your company stores data from multiple sources that have different data storage requirements. These data include:

1. Customer data that is structured and read with complex queries

2. Historical log data that is large in volume and accessed infrequently

3. Real-time sensor data with high-velocity writes, which needs to be available for analysis but can tolerate some data loss

You need to design the most cost-effective storage solution that fulfills all data storage requirements. What should you do?

A.

Use Spanner for all data.

B.

Use Cloud SQL for customer data, Cloud Storage (Coldline) for historical logs, and BigQuery for sensor data.

C.

Use Cloud SQL for customer data, Cloud Storage (Archive) for historical logs, and Bigtable for sensor data.

D.

Use Firestore for customer data, Cloud Storage (Nearline) for historical logs, and Bigtable for sensor data.

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