Answer-first summary for fast verification
Answer: 1. Use Cloud Bigtable to store the data. 2. Implement the business logic in the programming language of your choice.
**Correct Answer: C** - **Option A** is incorrect because Cloud Spanner, while supporting high-speed reads and writes, is not the most economical solution for storing 15 petabytes of data. The addition of an in-memory cache may improve speed but does not address the cost implications. - **Option B** is incorrect because Cloud Storage is not optimized for high-speed reads and writes of small data pieces, despite being cost-effective for large data volumes. Cloud CDN can enhance speed but does not fully meet the requirements. - **Option C** is correct because Cloud Bigtable is designed for high-speed reads and writes at scale, supports a simple schema, and is cost-effective for large data amounts. It allows flexibility in business logic implementation. - **Option D** is incorrect because BigQuery is optimized for analytics and not for real-time data processing or high-speed reads and writes. For more information, visit: [Cloud Bigtable Overview](https://cloud.google.com/bigtable/docs/overview)
Author: LeetQuiz Editorial Team
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You are working at a company that manufactures connected home appliances. These appliances generate up to 15 petabytes of data, which requires storage supporting high-speed reads and writes for small data pieces in a simple schema. What is the most cost-effective storage solution for this scenario?
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