Auto Scaling policies that rely solely on CPU utilization metrics are sufficient for all workloads when designing a horizontal scaling strategy.
Correct
Incorrect
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.
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