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Fix incorrect changelog - dynamic kubelet config is not beta
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CHANGELOG-1.10.md

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### Node
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Many of the changes within SIG-Node revolve around control, with the beta release of [Dynamic Kubelet Configuration](https://github.com/kubernetes/features/issues/281), the ability to make changes to Kubelet without having to bring down the node, and alpha support for the ability to [configure whether containers in a pod should share a single process namespace](https://github.com/kubernetes/features/issues/495), The CRI has also seen some improvements and has been upgraded to v1alpha2, with support for [support for Windows Container Configuration](https://github.com/kubernetes/features/issues/547) and the beta release of the [CRI validation test suite](https://github.com/kubernetes/features/issues/292).
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Many of the changes within SIG-Node revolve around control. With the beta release of the `kubelet.config.k8s.io` API group, a significant subset of Kubelet configuration can now be [configured via a versioned config file](https://kubernetes.io/docs/tasks/administer-cluster/kubelet-config-file/). Kubernetes v1.10 adds alpha support for the ability to [configure whether containers in a pod should share a single process namespace](https://github.com/kubernetes/features/issues/495), and the CRI has been upgraded to v1alpha2, which adds [support for Windows Container Configuration](https://github.com/kubernetes/features/issues/547). Kubernetes v1.10 also ships with the beta release of the [CRI validation test suite](https://github.com/kubernetes/features/issues/292).
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The Resource Management Working Group graduated three features to beta in the 1.10 release. First, [CPU Manager](https://kubernetes.io/docs/tasks/administer-cluster/cpu-management-policies/), which allows users to request exclusive CPU cores. This helps performance in a variety of use-cases, including network latency sensitive applications, as well as applications that benefit from CPU cache residency. Next, [Huge Pages](https://kubernetes.io/docs/tasks/manage-hugepages/scheduling-hugepages/), which allows pods to consume either 2Mi or 1Gi Huge Pages. This benefits applications that consume large amounts of memory. Use of Huge Pages is a common tuning recommendation for databases and JVMs. Finally, the [Device Plugin](https://kubernetes.io/docs/concepts/cluster-administration/device-plugins/) feature, which provides a framework for vendors to advertise their resources to the Kubelet without changing Kubernetes core code. Targeted devices include GPUs, High-performance NICs, FPGAs, InfiniBand, and other similar computing resources that may require vendor specific initialization and setup.
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