AWS Certified Solutions Architect - Professional

AWS Certified Solutions Architect - Professional

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A finance company is running its business-critical application on current-generation Linux EC2 instances. The application includes a self-managed MySQL database performing heavy I/O operations. The application is working fine to handle a moderate amount of traffic during the month. However, it slows down during the final three days of each month due to month-end reporting, even though the company is using Elastic Load Balancers and Auto Scaling within its infrastructure to meet the increased demand. Which of the following actions would allow the database to handle the month-end load with the LEAST impact on performance?




Explanation:

A\C\D: Would not solve the problem as the bottleneck is on the DB. Amazon ELB is able to handle the vast majority of use cases for our customers without requiring "pre-warming" (configuring the load balancer to have the appropriate level of capacity based on expected traffic). In certain scenarios, such as when flash traffic is expected, or in the case where a load test cannot be configured to gradually increase traffic, we recommend that you contact us to have your load balancer "pre-warmed". We will then configure the load balancer to have the appropriate level of capacity based on the traffic that you expect. We will need to know the start and end dates of your tests or expected flash traffic, the expected request rate per second and the total size of the typical request/response that you will be testing. A: is not appropriate as the pre-warming ELB requires to contact AWS, and that is recommended if the traffic is expecting to have sudden increase in 5 minutes duration. C: not practical. D: does not add much enhancement. Plus the question never talked about snapshots!