SAP-C02 · Question #59
A company is running a web application with On-Demand Amazon EC2 instances in Auto Scaling groups that scale dynamically based on custom metrics. After extensive testing, the company determines that…
The correct answer is B. Reserve capacity for the RDS database and the minimum number of EC2 instances that are. People are being confused by the term 'reserve capacity'. This is not the same as an on-demand capacity reservation. This article by AWS clearly states that by 'reserving capacity' you are reserving the instances and reducing your costs…
Question
A company is running a web application with On-Demand Amazon EC2 instances in Auto Scaling groups that scale dynamically based on custom metrics. After extensive testing, the company determines that the m5.2xlarge instance size is optimal for the workload. Application data is stored in db.r4.4xiarge Amazon RDS instances that are confirmed to be optimal. The traffic to the web application spikes randomly during the day. What other cost-optimization methods should the company implement to further reduce costs without impacting the reliability of the application?
Options
- ADouble the instance count in the Auto Scaling groups and reduce the instance size to m5.large.
- BReserve capacity for the RDS database and the minimum number of EC2 instances that are
- CReduce the RDS instance size to db.r4.xlarge and add five equivalently sized read replicas to
- DReserve capacity for all EC2 instances and leverage Spot Instance pricing for the RDS database.
How the community answered
(34 responses)- A3% (1)
- B82% (28)
- C6% (2)
- D9% (3)
Explanation
People are being confused by the term 'reserve capacity'. This is not the same as an on-demand capacity reservation. This article by AWS clearly states that by 'reserving capacity' you are reserving the instances and reducing your costs. https://aws.amazon.com/aws-cost-management/aws-cost-optimization/reserved-instances/
Community Discussion
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