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.
A mixed instances group that replaces most of the On-Demand capacity with Spot Instances yields the largest savings-Spot pricing is typically 70-90 % below On-Demand. Keeping a small On-Demand fraction ensures that some capacity launches even when Spot pools are temporarily constrained. The capacity-optimized Spot allocation strategy requests capacity from pools with the most available supply, lowering interruption frequency, and Capacity Rebalancing proactively launches replacement instances when an existing Spot Instance receives a rebalance recommendation, giving the job more time to finish. Spreading the group across at least ten instance types further improves the chance of acquiring the required vCPU count.
Using the lowest-price allocation strategy with only two instance types can select cheap but volatile pools; without Capacity Rebalancing, interruptions are more likely to delay completion. Spot blocks are no longer offered to new customers and, even when available, provide only modest discounts and no additional capacity protections. A three-year Compute Savings Plan would consume its hourly commitment 24×7, so the organization would still pay for compute during the 22.5 hours per day when the simulation is idle, making the 70 % savings target unattainable.
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AWS Certified Solutions Architect Professional SAP-C02
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