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Answer: Implement Cloud Spanner with the leader in North America and read-only replicas in Asia and Europe.
## Explanation **Option B (Cloud Spanner) is the correct answer** because: - **Global Consistency**: Cloud Spanner provides strong global consistency across regions, which is essential for financial data where consistency is critical - **Multi-Region Deployment**: Cloud Spanner supports leader configuration in one region (North America) with read-only replicas in other regions (Asia and Europe), providing low-latency access globally - **ACID Compliance**: As a relational database, Cloud Spanner ensures ACID transactions across regions - **High Availability**: Automatic failover and global replication ensure high availability **Why other options are incorrect**: - **Option A (BigQuery)**: BigQuery is primarily an analytical data warehouse, not designed for transactional workloads with global consistency requirements - **Option C (Cloud SQL)**: While Cloud SQL supports read replicas, it doesn't provide the same level of global consistency and automatic failover as Cloud Spanner for multi-region deployments - **Option D (Cloud Bigtable)**: Cloud Bigtable is a NoSQL database optimized for high-throughput workloads but doesn't provide the same transactional consistency guarantees as Cloud Spanner For financial data requiring global consistency with low-latency access across North America, Asia, and Europe, Cloud Spanner is the most appropriate choice.
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What should you do?
A
Implement BigQuery with no region selected for storage or processing.
B
Implement Cloud Spanner with the leader in North America and read-only replicas in Asia and Europe.
C
Implement Cloud SQL for PostgreSQL with the master in North America and read replicas in Asia and Europe.
D
Implement Cloud Bigtable with the primary cluster in North America and secondary clusters in Asia and Europe.
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