Task Statement 2: Design cost-optimized compute solutions.

Knowledge of:

AWS cost management service features (for example, cost allocation tags, multi-account billing)
AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
AWS global infrastructure (for example, Availability Zones, AWS Regions)
AWS purchasing options (for example, Spot Instances, Reserved Instances, Savings Plans)
Distributed compute strategies (for example, edge processing)
Hybrid compute options (for example, AWS Outposts, AWS Snowball Edge)
Instance types, families, andsizes (for example, memory optimized, compute optimized, virtualization)
Optimizationofcompute utilization(forexample, containers, serverlesscomputing, microservices)
Scaling strategies (for example, auto scaling, hibernation)

Skills in:

Determining an appropriate load balancing strategy (for example, Application Load Balancer [Layer 7] compared with Network Load Balancer [Layer 4] compared with Gateway Load Balancer)
Determining appropriate scaling methods and strategies for elastic workloads (for example, horizontal compared with vertical, EC2 hibernation)
Determining cost-effective AWS compute services with appropriate use cases (for example, Lambda, Amazon EC2, Fargate)
Determining the required availability for different classes of workloads (for example, production workloads, non-production workloads)
Selecting the appropriate instance family for a workload

Selecting the appropriate instance size for a workload

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