Which feature of DynamoDB allows it to handle varying workloads seamlessly?

DynamoDB's ability to handle varying workloads seamlessly is primarily due to its dynamic scaling feature. This functionality allows the database to automatically adjust its throughput capacity based on the application’s workload requirements. When the demand for read and write operations increases, DynamoDB can automatically scale up to accommodate the higher volume of requests. Conversely, when the demand decreases, it can scale down to optimize resource utilization and cost. This capability ensures that applications remain responsive and efficient regardless of fluctuations in traffic, making it ideal for variable workloads without requiring manual intervention.

Static storage allocation, manual provisioning, and fixed data size do not provide the flexibility and responsiveness needed for varying workloads. Static storage allocation implies a fixed amount of storage that cannot change, while manual provisioning requires pre-defining the capacity, which may not dynamically adapt to changing needs. Fixed data size restricts the adaptability in storage requirements, making it unsuitable for dealing with varying workloads effectively. Dynamic scaling, in contrast, ensures an agile and responsive approach to handling changes in demand, which makes it a crucial feature for applications using DynamoDB.