Auto Scaling policies should not rely solely on CPU utilization for all workloads because different applications may experience bottlenecks in areas other than CPU usage, such as memory, disk I/O, or network throughput. Depending on the specific workload, it may be necessary to configure Auto Scaling to respond to other performance metrics or a combination of metrics to efficiently handle load variations. For instance, a memory-intensive application might require scaling actions based on memory usage rather than CPU utilization. A well-designed scaling strategy takes into account the unique characteristics of the application workload.