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Answer: Deploy Cloud Spanner with a leader in North America and read-only replicas in Asia and Europe.
The correct answer is **B**. Cloud Spanner is a globally distributed, strongly consistent database service by Google Cloud, ideal for scenarios requiring a single global endpoint, ANSI SQL support, and consistent data access. Setting a leader in North America with read-only replicas in Asia and Europe ensures low latency and consistency. - **A** is incorrect because BigQuery is optimized for analytics, not real-time transactions or consistent data access. - **C** is incorrect as Cloud SQL isn't designed for high-volume, globally distributed transactions. - **D** is incorrect since Bigtable, while scalable, lacks strong consistency guarantees necessary for real-time user action processing.
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A United States-based company has developed an application that processes user actions, experiencing a data volume increase of 250,000 records per second. Third parties integrate these features via APIs, which must have a single global endpoint, support ANSI SQL, and ensure consistent access to the latest data. What is the best approach to meet these API requirements?
A
Use BigQuery without specifying a region for storage or processing.
B
Deploy Cloud Spanner with a leader in North America and read-only replicas in Asia and Europe.
C
Opt for Cloud SQL for PostgreSQL, setting the master in North America and read replicas in Asia and Europe.
D
Choose Bigtable with a primary cluster in North America and secondary clusters in Asia and Europe.