Database
RecognitionAmazon Aurora Serverless
On-demand autoscaling capacity configuration for compatible Amazon Aurora databases.
Key points
- It fits variable or intermittent relational demand when scaling behavior, engine compatibility, and latency requirements are satisfied.
Best-known use cases
- Run an intermittent relational application without fixed peak capacity.
What candidates often confuse it with
- Aurora Serverless scales database capacity; provisioned Aurora supplies explicitly sized steady capacity.
Key takeaway
Choose Aurora Serverless for supported variable relational demand, not as a universal Aurora replacement.
Related services
- Amazon Aurora
- Amazon RDS
Relevant exam tasks
- D4.3