Configure Amazon EventBridge rules to invoke actions.
Describing when to use multiple Regions (for example, disaster recovery, business continuity, low latency for end users, data sovereignty)
Cloud computing and distributed computing
Describing at a high level the benefits of edge locations (for example, Amazon CloudFront, AWS Global Accelerator)
Use AWS Systems Manager Automation runbooks to take action based on AWS Config rules.
Service quotas and throttling (for example, how to configure the service quotas for a workload in a standby environment)
Recognizing the appropriate use of different EC2 instance types (for example, compute optimized, storage optimized)
Create and maintain AWS Auto Scaling plans.
How to use Apache Spark to process data
Storage options and characteristics (for example, durability, replication)
Recognizing the appropriate use of different container options (for example, Amazon ECS, Amazon EKS)
Recognizing the appropriate use of different serverless compute options (for example, AWS Fargate, Lambda)
Workload visibility (for example, AWS X-Ray)
Intermediate data staging locations
Recognizing that auto scaling provides elasticity