Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 300 discussion

Amazon EC2 Reserved Instances allow for significant cost savings compared to On-Demand instances for long-running, steady-state workloads like this one. Reserved Instances provide a capacity reservation, so the instances are guaranteed to be available for the duration of the reservation period. Amazon Aurora is a highly scalable, cloud-native relational database service that is designed to be compatible with MySQL and PostgreSQL. It can automatically scale up to meet growing storage requirements, so it can accommodate the application's database storage needs over time. By using Reserved Instances for Aurora, the cost savings will be significant over the long term.

Option B based on the fact that the DB storage will continue to grow, so on-demand will be a more suitable solution

cost-effectively - the answer is C. The application runs 24 hours a day, 7 days a week. The application’s database storage continues to grow over time.

Answer is C: Amazon EC2 Reserved Instances and Amazon Aurora Reserved Instances = less expensive than RDS.

Amazon Aurora reserved instances is used for the work load on predictable, so answer should be B

I think it's B as database storage will grow

24/7 forbids spot instances , so A is excluded Cost efficience require reserved instances , so D is excluded Between RDS and Aurora, Aurora is less expensive thanks to the reserved instance, so B is finally excluded Answer is C

I hope it should be B considering Database growth

My research concludes that From pure price point of view Aurora Reserved might/ usually be slightly more expensive than On-demand RDS. But RDS has less Operation overhead. For the 24x7 nature, I would vote C. But for pure cost-effective, B is less costly.

This option involves migrating the application layer to Amazon EC2 Reserved Instances and migrating the data storage layer to Amazon Aurora Reserved Instances. Amazon EC2 Reserved Instances provide a significant discount (up to 75%) compared to On-Demand Instance pricing, making them a cost-effective choice for applications that have steady state or predictable usage. Similarly, Amazon Aurora Reserved Instances provide a significant discount (up to 69%) compared to On-Demand Instance pricing.

To meet the requirements of migrating a legacy application from an on-premises data center to the AWS Cloud in a cost-effective manner, the most suitable option would be: C. Migrate the application layer to Amazon EC2 Reserved Instances. Migrate the data storage layer to Amazon Aurora Reserved Instances. Explanation: Migrating the application layer to Amazon EC2 Reserved Instances allows you to reserve EC2 capacity in advance, providing cost savings compared to On-Demand Instances. This is especially beneficial if the application runs 24/7. Migrating the data storage layer to Amazon Aurora Reserved Instances provides cost optimization for the growing database storage needs. Amazon Aurora is a fully managed relational database service that offers high performance, scalability, and cost efficiency.

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Answer is C

Answer is C. Refer https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_WorkingWithReservedDBInstances.html => Size-flexible reserved DB instances

C: With Aurora Serverless v2, each writer and reader has its own current capacity value, measured in ACUs. Aurora Serverless v2 scales a writer or reader up to a higher capacity when its current capacity is too low to handle the load. It scales the writer or reader down to a lower capacity when its current capacity is higher than needed. This is sufficient to accommodate the growing data changes. https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless-v2.how-it-works.html#aurora-serverless-v2.how-it-works.scaling

Typically Amazon RDS cost less than Aurora. But here, it's Aurora reserved.

Answer C https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/USER_WorkingWithReservedDBInstances.html Discounts for reserved DB instances are tied to instance type and AWS Region.