How to model structured, semi-structured, and unstructured data
Sizes and speeds needed to meet business requirements
Schema evolution techniques
Implement encryption in transit (for example, AWS Certificate Manager [ACM], VPN).
Streaming data services with appropriate use cases (for example, Amazon Kinesis)
Access options (for example, an S3 bucket with Requester Pays object storage)
How to maintain and troubleshoot data processing for repeatable business outcomes
Securely store secrets by using AWS services (for example, AWS Secrets Manager, Systems Manager Parameter Store).
API calls for data processing
Review reports or findings (for example, AWS Security Hub, Amazon GuardDuty, AWS Config, Amazon Inspector).
AWS cost management service features (for example, cost allocation tags, multi-account billing)
Which services accept scripting (for example, Amazon EMR, Amazon Redshift, AWS Glue)
Configure a VPC (for example, subnets, route tables, network ACLs, security groups, NAT gateway, internet gateway).
AWS cost management tools with appropriate use cases (for example, AWS Cost Explorer, AWS Budgets, AWS Cost and Usage Report)
Tradeoffs between provisioned services and serverless services
Configure private connectivity (for example, Systems Manager Session Manager, VPC endpoints, VPC peering, VPN).