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A solutions architect is investigating compute options for a critical analytics application.

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A solutions architect is investigating compute options for a critical analytics application. The application uses long-running processes to prepare and aggregate data. The processes cannot be interrupted. The application has a known baseline load. The application needs to handle occasional usage surges.

Which solution will meet these requirements MOST cost-effectively?

A.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity and Desired capacity parameters to the number of instances required to handle the baseline load. Purchase Reserved Instances for the Auto Scaling group.

B.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity, Max capacity, and Desired capacity parameters to the number of instances required to handle the baseline load. Use On-Demand Instances to address occasional usage surges.

C.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity and Desired capacity parameters to the number of instances required to handle the baseline load. Purchase Reserved Instances for the Auto Scaling group. Use the OnDemandPercentageAboveBaseCapacity parameter to configure the launch template to launch Spot Instances.

D.

Re-architect the application to use AWS Lambda functions instead of Amazon EC2 instances. Purchase a one-year Compute Savings Plan to reduce the cost of Lambda usage.

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