Exadata Cloud@Customer is a cloud service that delivers the full power of the Exadata platform in your data center. You can create VM clusters on Exadata Cloud@Customer to run Oracle Database instances on virtual machines. You can scale up and down the following resources on your VM cluster1:
* CPU: You can increase or decrease the number of CPU cores allocated to each database node in the VM cluster. You can also enable or disable auto-scaling, which allows the system to automatically adjust the CPU cores based on the workload demand2.
* Memory: You can increase or decrease the amount of memory allocated to each database node in the VM cluster. You can also enable or disable auto-scaling, which allows the system to automatically adjust the memory based on the workload demand2.
* Local Storage: You can increase or decrease the size of the local storage allocated to each database node in the VM cluster. Local storage is used for the operating system, software installation, and temporary files. You can also enable or disable auto-scaling, which allows the system to automatically adjust the local storage based on the workload demand2.
* Exadata Storage: You can increase or decrease the size of the Exadata storage allocated to the VM cluster. Exadata storage is used for the database files, such as data files, control files, redo logs, etc. You can also enable or disable auto-scaling, which allows the system to automatically adjust the Exadata storage based on the workload demand2.
Therefore, statement E is correct, and statements A, B, C, and D are incorrect. Persistent Memory (PMEM), Flash Storage, Network, and Grid Infrastructure Bandwidth are not resources that can be scaled up and down on your VM cluster on Exadata Cloud@Customer1. References: 1: Exadata Cloud@Customer 2: Exadata Cloud@Customer's distributed cloud database platform