Oracle Exam 1Z0-1109-23 Topic 8 Question 17 Discussion

The statements that are true for scaling an OKE cluster to meet growing demand are:

Enable autoscaling by autoscaling Pods by deploying Kubernetes Autoscaler to collect resource metrics from each worker node in the cluster. Pod autoscaling is a feature that allows you to adjust the number of pods in a deployment or replica set based on the CPU or memory utilization of the pods. You can use Kubernetes Autoscaler, which is an add-on component that you can install on your OKE cluster, to collect resource metrics from each worker node and scale the pods up or down accordingly.

Enable cluster autoscaling by autoscaling node pools by deploying the Kubernetes Autoscaler to automatically resize a cluster's node pools based on application workload demands. Cluster autoscaling is a feature that allows you to adjust the number of nodes in a node pool based on the pod requests and limits of the pods running on the nodes. You can use Kubernetes Autoscaler, which is an add-on component that you can install on your OKE cluster, to monitor the pod requests and limits and scale the node pools up or down accordingly.

Scale a node pool up and down to change the number of worker nodes in the node pool, and the availability domains and subnets in which to place them. A node pool is a group of worker nodes within an OKE cluster that share the same configuration, such as shape, image, subnet, etc. You can use OCI Console, CLI, or API to scale a node pool up and down by adding or removing worker nodes from it. You can also change the availability domains and subnets for your node pool to distribute your nodes across different fault domains. Scaling a node pool allows you to adjust your cluster capacity according to your application workload demands. Verified Reference: [Scaling Clusters - Oracle Cloud Infrastructure Container Engine for Kubernetes], [Scaling Node Pools - Oracle Cloud Infrastructure Container Engine for Kubernetes]