Task Statement 1: Design cost-optimized storage solutions. Knowledge of: • Access options (for example, an S3 bucket with Requester Pays object storage) • AWS cost management service features (for example, cost allocation tags, multi-account billing) • AWS cost management tools with appropriate use cases (for example, AWS Cost Explorer, AWS Budgets, AWS Cost and Usage Report) • AWS storage services with appropriate use cases (for example, Amazon FSx, Amazon EFS, Amazon S3, Amazon EBS) • Backup strategies • Block storage options (for example, hard disk drive [HDD] volume types, solid state drive [SSD] volume types) • Data lifecycles • Hybrid storage options (for example, DataSync, Transfer Family, Storage Gateway) • 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 Version 1.0 SAA-C03 8 | PAGE 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, 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) 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 Task Statement 3: Design cost-optimized database 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) • Caching strategies • Data retention policies • Database capacity planning (for example, capacity units) • Database connections and proxies • Database engines with appropriate use cases (for example, heterogeneous migrations, homogeneous migrations) • Database replication (for example, read replicas) • Database types and services (for example, relational compared with non-relational, Aurora, DynamoDB) Version 1.0 SAA-C03 9 | PAGE Skills in: • Designing appropriate backup and retention policies (for example, snapshot frequency) • Determining an appropriate database engine (for example, MySQL compared with PostgreSQL) • Determining cost-effective AWS database services with appropriate use cases (for example, DynamoDB compared with Amazon RDS, serverless) • Determining cost-effective AWS database types (for example, time series format, columnar format) • Migrating database schemas and data to different locations and/or different database engines Task Statement 4: Design cost-optimized network architectures. 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) • Load balancing concepts (for example, Application Load Balancer) • NAT gateways (for example, NAT instance costs compared with NAT gateway costs) • Network connectivity (for example, private lines, dedicated lines, VPNs) • Network routing, topology, and peering (for example, AWS Transit Gateway, VPC peering) • Network services with appropriate use cases (for example, DNS) Skills in: • Configuring appropriate NAT gateway types for a network (for example, a single shared NAT gateway compared with NAT gateways for each Availability Zone) • Configuring appropriate network connections (for example, Direct Connect compared with VPN compared with internet) • Configuring appropriate network routes to minimize network transfer costs (for example, Region to Region, Availability Zone to Availability Zone, private to public, Global Accelerator, VPC endpoints) • Determining strategic needs for content delivery networks (CDNs) and edge caching • Reviewing existing workloads for network optimizations • Selecting an appropriate throttling strategy • Selecting the appropriate bandwidth allocation for a network device (for example, a single VPN compared with multiple VPNs, Direct Connect speed)