The correct answer is Host and run containerized workloads.

A Kubernetes node is a worker machine that provides CPU, memory, networking and local storage to run pods. It hosts the container runtime and the kubelet which manages pod lifecycle, and it is therefore responsible for running containerized workloads on behalf of the cluster.

Schedule pods onto machines based on resource requests is incorrect because scheduling is performed by the control plane scheduler which decides placement based on resource requests and node capacity and not by the node itself.

Offer long term persistent storage for pods is incorrect because persistent storage is provided by PersistentVolumes, storage classes and external storage systems. Nodes may provide ephemeral local storage but they do not serve as the cluster wide persistent storage solution.

Handle cluster wide logging and monitoring is incorrect because logging and monitoring are implemented by cluster level add ons and services such as Fluentd and Prometheus. Nodes can run agents for those systems but they do not own cluster wide logging and monitoring responsibilities.

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