Review Mode Set 3 question 11

[HappyDog1111]

Category: DOP – Resilient Cloud Solutions

A company has developed a serverless application that processes user requests using AWS Lambda. The Lambda functions are designed to connect to an Aurora PostgreSQL database cluster for data retrieval and storage. Initially, the functions connected directly to the Aurora cluster, but this approach led to connection timeouts due to the high volume of short-lived connections generated by the Lambda functions. The DevOps engineer must consider a scalable and higher-performance solution.
What combination of steps should the engineer do in the following options to meet these requirements? (Select THREE.)

one correct answer is

Implement Amazon RDS Proxy to manage database connections, connect them to the Aurora cluster’s reader endpoint, and set a maximum connection threshold.
The question mentions that the lambda functions are designed to connect to an Aurora PostgreSQL database cluster for data retrieval and storage.It needs to write data to the cluster.does one reader endpoint meet the requirement?

[Neil-TutorialsDojo]

Hi HappyDog1111,

Good day!
No, using only the Aurora cluster’s reader endpoint would not be sufficient if the Lambda functions need to write data to the database cluster.
Upon checking the scenario, it did imply that it needs both read and write operations.
Thank you for pointing this to our attention, it will help us make this question more accurate. We will do the necessary update as soon as possible.
If you have further clarifications, pls let us know.

Regards,
Neil @ tutorials dojo

[HappyDog1111]

Thank you,the key words ‘data retrieval and storage’ mistake me