PROFESSIONAL-CLOUD-DATABASE-ENGINEER · Question #180
Your organization deploys a high-volume, low-latency sensor data ingestion system. Resilience is crucial, and the workload is expected to grow significantly over time. You need to design a database…
The correct answer is D. Provision a multi-zone Bigtable cluster, configure replication, perform an application stress-test. Provisioning a multi-zone Cloud Bigtable cluster gives you zonal failover for high availability and lets Bigtable’s built-in replication optimize throughput and latency as ingest load grows. Performing an application stress test validates cluster sizing under peak writes, and…
Question
Your organization deploys a high-volume, low-latency sensor data ingestion system. Resilience is crucial, and the workload is expected to grow significantly over time. You need to design a database tier on Google Cloud to ensure faster performance and high availability, while following Google-recommended practices. What should you do-
Options
- ADeploy multiple Bigtable clusters, shard data manually across them, and set up the application
- BDeploy a single-zone Bigtable cluster and optimize the application code for maximum write
- CDeploy a single-region Bigtable instance and increase the nodes to maximize data durability.
- DProvision a multi-zone Bigtable cluster, configure replication, perform an application stress-test,
How the community answered
(34 responses)- A18% (6)
- B6% (2)
- C9% (3)
- D68% (23)
Explanation
Provisioning a multi-zone Cloud Bigtable cluster gives you zonal failover for high availability and lets Bigtable’s built-in replication optimize throughput and latency as ingest load grows. Performing an application stress test validates cluster sizing under peak writes, and ongoing performance monitoring ensures you can scale nodes proactively - all matching Google’s best
Topics
Community Discussion
No community discussion yet for this question.