Correct Answer: B
B is correct: when a node fails, Kubernetes does not "move" the same Pod instance; instead, a new Pod object (new UID) is created to replace it-assuming the Pod is managed by a controller (Deployment/ReplicaSet, StatefulSet, etc.). A Pod is an API object with a unique identifier (UID) and is tightly associated with the node it's scheduled to via spec.nodeName. If the node becomes unreachable, that original Pod cannot be restarted elsewhere because it was bound to that node.
Kubernetes' high availability comes from controllers maintaining desired state. For example, a Deployment desires N replicas. If a node fails and the replicas on that node are lost, the controller will create replacement Pods, and the scheduler will place them onto healthy nodes. These replacement Pods will be "near-identical" in spec (same template), but they are still new instances with new UIDs and typically new IPs.
Why the other options are wrong:
A is incorrect because the UID does not remain the same-Kubernetes creates a new Pod object rather than reusing the old identity.
C is incorrect; pods are not restricted to the same node after failure. The whole point of orchestration is to reschedule elsewhere.
D is incorrect; rescheduling does not require special explicit configuration for typical controller-managed workloads. The controller behavior is standard. (If it's a bare Pod without a controller, it will not be recreated automatically.) This also ties to the difference between "regular Pod" vs controller-managed workloads: a standalone Pod is not self-healing by itself, while a Deployment/ReplicaSet provides that resilience. In typical production design, you run workloads under controllers specifically so node failure triggers replacement and restores replica count.
Therefore, the correct outcome is B.