AWS Certified Data Engineer Associate DEA-C01 Practice Question
An e-commerce startup ingests clickstream events into an Amazon DynamoDB table. Traffic is highly unpredictable: most of the day only a few hundred writes per minute occur, but flash-sale campaigns generate short spikes of up to 50,000 writes per second. The team wants the simplest configuration that keeps costs low during idle periods while automatically absorbing the spikes without throttling. Which solution satisfies these requirements?
Create the table in on-demand capacity mode; rely on its automatic scaling for write traffic.
Use provisioned capacity mode with 50,000 write capacity units and enable auto scaling between 1,000 and 50,000 WCUs.
Configure the table with 5,000 provisioned WCUs and attach a multi-node DynamoDB Accelerator (DAX) cluster to absorb burst writes.
Enable on-demand capacity mode and turn on TTL so write capacity automatically drops to zero when items expire.
DynamoDB on-demand capacity mode charges only for the read and write requests that are actually made and can instantly scale to thousands of requests per second, so it handles sudden flash-sale bursts without advance capacity planning. Provisioned capacity with auto scaling can lag several minutes before increasing limits, risking throttling and unnecessary cost if pre-provisioned at peak. DAX accelerates reads, not writes, and DynamoDB TTL affects storage cost, not write throughput. Therefore, creating the table in on-demand capacity mode is the most cost-effective and operationally simple choice for this workload.
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AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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