You have built a web API in AWS using API Gateway, AWS Lambda, and DynamoDB. For the DynamoDB table, the read and write capacities have been provisioned as 100. Recently, you found ProvisionedThroughputExceededException for some client requests, which mainly happens when the traffic is high during the daytime. Which of the following actions can help to reduce the number of exceptions? (Select TWO) 

Answer options:

A.In the DynamoDB table, enable auto-scaling for the read and write capacities.
B.Adding retries to the AWS Lambda function if ProvisionedThroughputExceededException happens.
C.Configure an SQS queue to control the traffic to the DynamoDB table asynchronously. The extra messages are put in the queue first before they reach the table.
D.Configure AWS CloudFront as a caching layer in front of DynamoDB to reduce traffic to the DynamoDB table.
E.Create a CloudWatch alarm for ProvisionedThroughputExceededException. Enlarge the provisioned capacities if the alarm is triggered.

Answer – A, C
In this scenario, to reduce the number of ProvisionedThroughputExceededException, there are two approaches. One is to enlarge the capacities of the DynamoDB table. The other is to reduce the traffic.
Option A is CORRECT: Because DynamoDB supports auto-scaling, can be used to enlarge capacity. Take the below snapshot as an example:
Option B is incorrect: Because adding retires can potentially increase the traffic, and it does not help reduce the number of exceptions.
Option C is CORRECT: Because the SQS queue can control the requests made to the DynamoDB table through asynchronous processing and it acts as a cache that controls the rate of requests to the table.
Option D is incorrect: Because CloudFront does not work with DynamoDB. Instead, Elasticache can be used as a caching layer for DynamoDB.Option E is incorrect: Because users can directly enable DynamoDB auto scaling rather than configure it manually.