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For applications with variable traffic, the on-demand capacity mode is the recommended default due to its operational simplicity. However, if you have a predictable, high-volume workload and want maximum cost efficiency, provisioned capacity with fine-tuned auto-scaling and potential reserved capacity purchases is a better choice. Based on the scenario mentioned in the question, option A makes more sense than B. C and D are ruled out as DAX is better for read-heavy, latency-sensitive applications
Use AWS Application Auto Scaling to scale provisioned capacity and purchase reserved capacity for the average load. Best for known, bursty pattern Most cost-efficient in the long term Slightly more setup effort but pays off
Reserved capacity applies to the baseline level of provisioned throughput. During peak workloads, Auto Scaling dynamically adjusts the provisioned capacity of a DynamoDB table (RCUs and WCUs) based on the actual workload. you are charged on-demand rates for the excess capacity.