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• Storage access patterns
• Storage tiering (for example, cold tiering for object storage)
• Storage types with associated characteristics (for example, object, file,
block)
Skills in:
• Designing appropriate storage strategies (for example, batch uploads to
Amazon S3 compared with individual uploads)
• Determining the correct storage size for a workload
• Determining the lowest cost method of transferring data for a workload to
AWS storage
• Determining when storage auto scaling is required
• Managing S3 object lifecycles
• Selecting the appropriate backup and/or archival solution
• Selecting the appropriate service for data migration to storage services
• Selecting the appropriate storage tier
• Selecting the correct data lifecycle for storage
• Selecting the most cost-effective storage service for a workload
Task Statement 4.2: 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, and sizes (for example, memory optimized,
compute optimized, virtualization)
• Optimization of compute utilization (for example, containers, serverless
computing, microservices)
• Scaling strategies (for example, auto scaling, hibernation)