A Kubernetes application consistently requests too little memory per Pod. The team wants resource-request recommendations or managed adjustments rather than more replicas. Which approach best fits?

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  1. Enable and configure cluster autoscaling for the node pool.
  2. Configure a Horizontal Pod Autoscaler.
  3. Use Vertical Pod Autoscaler with a suitable update mode.
  4. Use a StatefulSet with appropriate persistent volumes.

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