正确答案: B

Correct answer is B as DynamoDB Auto Scaling can help scale as per the demand.,Refer AWS documentation - DynamoDB AutoScaling,Many database workloads are cyclical in nature or are difficult to predict in advance. For example, consider a social networking app where most of the users are active during daytime hours. The database must be able to handle the daytime activity, but there's no need for the same levels of throughput at night. Another example might be a new mobile gaming app that is experiencing rapid adoption. If the game becomes too popular, it could exceed the available database resources, resulting in slow performance and unhappy customers. These kinds of workloads often require manual intervention to scale database resources up or down in response to varying usage levels.,DynamoDB auto scaling uses the AWS Application Auto Scaling service to dynamically adjust provisioned throughput capacity on your behalf, in response to actual traffic patterns. This enables a table or a global secondary index to increase its provisioned read and write capacity to handle sudden increases in traffic, without throttling. When the workload decreases, Application Auto Scaling decreases the throughput so that you don't pay for unused provisioned capacity.,Option A is wrong as its more of a manual effort and not a cost-effective way as compared to B,Option C is wrong as DynamoDB streams captures a time-ordered sequence of item-level modifications in any DynamoDB table, and stores this information in a log for up to 24 hours. It cannot help review the current capacity.,Option D is wrong as it is not a cost effective to provision the throughput to the maximum required.