PROFESSIONAL-CLOUD-DATABASE-ENGINEER · Question #167
Your company is developing a 24/7, global, real-time analytics platform that needs to store and process large amounts of versioned time-series data. You need to design a platform that is highly…
The correct answer is C. Implement a multi-cluster Bigtable instance across multiple regions with replication. A multi-cluster Bigtable instance spanning regions gives you fully managed replication and multi- cluster routing for global, 24/7 availability. Combined with Bigtable’s autoscaling and a time- series–optimized schema, this meets your needs for versioned data, traffic-spike…
Question
Your company is developing a 24/7, global, real-time analytics platform that needs to store and process large amounts of versioned time-series data. You need to design a platform that is highly scalable to accommodate traffic spikes and ensure high availability for mission-critical operations. What should you do-
Options
- AImplement a single-cluster Bigtable instance with autoscaling enabled and row key design.
- BImplement a multi-cluster Bigtable instance with autoscaling enabled and optimal schema design.
- CImplement a multi-cluster Bigtable instance across multiple regions with replication.
- DImplement AlloyDB for PostgreSQL to handle the analytical workload using read replica.
How the community answered
(44 responses)- A2% (1)
- B9% (4)
- C84% (37)
- D5% (2)
Explanation
A multi-cluster Bigtable instance spanning regions gives you fully managed replication and multi- cluster routing for global, 24/7 availability. Combined with Bigtable’s autoscaling and a time- series–optimized schema, this meets your needs for versioned data, traffic-spike scalability, and mission-critical HA.
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