A SAAS provider has an online training service that is deployed in AWS. For each subscriber, there is a new DynamoDB table created for it. The company needs the deployment in AWS to be simple. It is known that the read throughput is much more than the write throughput. During the day, the read traffic is very unbalanced and spiky among various DynamoDB tables. What kind of capacity should the DynamoDB tables be configured?

Answer options:

A.Depending on which type of subscriber it has, configure a provisioned capacity accordingly.
B.Configure a median provisioned capacity for all tables. Enable Auto Scaling when target utilization is over 80%.
C.Set up On-Demand capacity for individual DynamoDB tables.
D.Configure an On-Demand capacity for read, and configure a provisioned capacity for write using a reasonable value.

Correct Answer – C
 
DynamoDB on-demand is normally used if the application traffic is difficult to predict and control, the workload has large spikes of short duration, or if the average table utilization is well below the peak. Refer to https://aws.amazon.com/blogs/aws/amazon-dynamodb-on-demand-no-capacity-planning-and-pay-per-request-pricing/ for its use cases.
Option A is incorrect: Because as the traffic is very different from each other, it is improper to use a provisioned capacity.
Option B is incorrect: Although this may work, it is not as simple as On-Demand capacity. This SAAS provider needs the deployment to be simple.
Option C is CORRECT: Because by setting up On-Demand capacity, the service provider does not need to be worried about the traffic fluctuation.
Option D is incorrect: Because you cannot configure On-Demand for read and Provisioned for write. You have to use one for both read and write. Refer to below: