A company has an event-driven application that invokes AWS Lambda functions up to 800 times each minute with varying runtimes. The Lambda functions access data that is stored in an Amazon Aurora MySQL DB cluster. The company is noticing connection timeouts as user activity increases. The database shows no signs of being overloaded. CPU, memory, and disk access metrics are all low. Which solution will resolve this issue with the LEAST operational overhead?

Topic #: - All AWS Certified Solutions Architect - Associate SAA-C02 Questions

A. Adjust the size of the Aurora MySQL nodes to handle more connections. Configure retry logic in the Lambda functions for attempts to connect to the database.
B. Set up Amazon ElastiCache for Redis to cache commonly read items from the database. Configure the Lambda functions to connect to ElastiCache for reads.
C. Add an Aurora Replica as a reader node. Configure the Lambda functions to connect to the reader endpoint of the DB cluster rather than to the writer endpoint.
D. Use Amazon RDS Proxy to create a proxy. Set the DB cluster as the target database. Configure the Lambda functions to connect to the proxy rather than to the DB cluster.

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