AWS Certified CloudOps Engineer Associate SOA-C03 Practice Question
An operations team manages a DynamoDB table in provisioned mode with application auto scaling. During a viral marketing event, request traffic surges roughly 30 times within a few minutes. The table begins to throttle even though auto scaling is configured with generous maximum capacity. The team wants to stop throttling during sudden spikes without permanently over-provisioning. Which solution satisfies these requirements with the least operational effort?
Enable Amazon DynamoDB Accelerator (DAX) in front of the table.
Increase the maximum read and write capacity units in auto scaling to ten times the expected peak.
Switch the table to DynamoDB on-demand capacity mode.
Create a global secondary index with identical partition and sort keys to distribute load.
DynamoDB on-demand capacity mode adapts instantly to traffic changes and can accommodate thousands of requests per second without prior capacity planning. Because it automatically tracks and serves traffic based on the previous high-water mark, it prevents throttling during sudden spikes while scaling back during normal periods, eliminating manual intervention. Raising the maximum auto-scaling limits still incurs the several-minute ramp-up delay inherent to auto scaling, so short-lived spikes may continue to throttle. Adding a global secondary index with the same keys doubles write capacity consumption and does not address the underlying provisioning issue. Enabling DAX improves read latency and off-loads eventually consistent reads, but it does not help with write throttling, so traffic surges would still be limited by write throughput. Therefore, switching the table to on-demand capacity mode is the most effective and operationally simple choice.
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AWS Certified CloudOps Engineer Associate SOA-C03
Reliability and Business Continuity
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