Task Statement 1: Determine high-performing and/or scalable storage solutions.
- Hybrid storage solutions to meet business requirements
- Storage services with appropriate use cases (for example, Amazon S3, Amazon Elastic File System [Amazon EFS], Amazon Elastic Block Store [Amazon EBS])
- Storage types with associated characteristics (for example, object, file, block)
Task Statement 2: Design high-performing and elastic compute solutions.
- AWS compute services with appropriate use cases (for example, AWS Batch, Amazon EMR, Fargate)
- Distributed computing concepts supported by AWS global infrastructure and edge services
- Queuing and messaging concepts (for example, publish/subscribe)
- Scalability capabilities with appropriate use cases (for example, Amazon EC2 Auto Scaling, AWS Auto Scaling)
- Serverless technologies and patterns (for example, Lambda, Fargate)
- The orchestration of containers (for example, Amazon ECS, Amazon EKS)
Task Statement 3: Determine high-performing database solutions.
- AWS global infrastructure (for example, Availability Zones, AWS Regions)
- Caching strategies and services (for example, Amazon ElastiCache) • Data access patterns (for example, read-intensive compared with write-intensive)
- Database capacity planning (for example, capacity units, instance types, Provisioned IOPS)
- 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, serverless, relational compared with non-relational, in-memory)
Task Statement 4: Determine high-performing and/or scalable network architectures.
- Edge networking services with appropriate use cases (for example, Amazon CloudFront, AWS Global Accelerator)
- How to design network architecture (for example, subnet tiers, routing, IP addressing)
- Load balancing concepts (for example, Application Load Balancer) • Network connection options (for example, AWS VPN, Direct Connect, AWS PrivateLink)
Task Statement 5: Determine high-performing data ingestion and transformation solutions.
- Data analytics and visualization services with appropriate use cases (for example, Amazon Athena, AWS Lake Formation, Amazon QuickSight)
- Data ingestion patterns (for example, frequency)
- Data transfer services with appropriate use cases (for example, AWS DataSync, AWS Storage Gateway)
- Data transformation services with appropriate use cases (for example, AWS Glue)
- Secure access to ingestion access points
- Sizes and speeds needed to meet business requirements
- Streaming data services with appropriate use cases (for example, Amazon Kinesis)