AWS Certified Solutions Architect Professional SAP-C02 Practice Question

Your company runs a time-critical Monte Carlo risk simulation on Amazon EC2 every weekday at 22:00 UTC. The containerized workload is stateless and checkpoints to Amazon S3 every 5 minutes. The job now runs on an Auto Scaling group of 1,800 c7g.xlarge On-Demand instances and completes in 90 minutes, but finance requires at least a 70 % reduction in compute cost without extending the schedule. As the lead solutions architect, which combination of actions will best achieve the cost-reduction goal while preserving the existing SLA and adding minimal operational overhead?

  • Purchase a 3-year, no-upfront Compute Savings Plan sized to cover the peak hourly usage and keep the compute layer on 100 % On-Demand instances.

  • Run the workload entirely on 2-hour Spot blocks for the required number of instances.

  • Convert the existing Auto Scaling group to a mixed instances group that launches 20 % On-Demand and 80 % Spot Instances across at least ten suitable instance types, use the capacity-optimized Spot allocation strategy, and enable Capacity Rebalancing.

  • Replace the Auto Scaling group with an EC2 Fleet that uses the lowest-price Spot allocation strategy across two instance types and disable Capacity Rebalancing.

AWS Certified Solutions Architect Professional SAP-C02
Continuous Improvement for Existing Solutions
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