AWS Certified CloudOps Engineer Associate SOA-C03 Practice Question
A startup runs a write-heavy shopping cart service on a single DynamoDB table. Provisioned capacity with auto scaling (target utilization 70 %) handles the normal workload of 250 write units per second, but flash sales generate unpredictable 20-fold traffic spikes for about an hour each quarter. During the last sale many writes were throttled before auto scaling could react. The operations team wants a solution that absorbs future spikes automatically while keeping capacity costs low during normal traffic and requiring no code changes. What should a CloudOps engineer do?
Convert the table to on-demand capacity mode.
Lower the auto-scaling target utilization to 30 % so extra headroom is always available.
Rely on DynamoDB adaptive capacity to redistribute workload across partitions during spikes.
Increase the auto-scaling maximum write capacity units to 10 000 and leave the target utilization at 70 %.
Switching the table from provisioned capacity to on-demand capacity removes the need to specify or scale write capacity units. DynamoDB instantly accommodates sudden, short-lived spikes up to double the previous peak traffic and then continues to expand as required, so the flash-sale surge is served without throttling. Because the startup pays only for actual read and write requests, normal-time charges stay close to their current level and no manual scheduling is needed. Raising maximum provisioned capacity or reducing the target utilization still suffers from scaling ramp-up delays and incurs higher standby costs. Adaptive capacity only reallocates existing throughput across partitions; it cannot create additional capacity, so throttling would persist.
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AWS Certified CloudOps Engineer Associate SOA-C03
Reliability and Business Continuity
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