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| Section | Weight | Objectives |
|---|---|---|
| Troubleshooting | 30% | - Troubleshoot networking - Troubleshoot cluster component failure - Manage container stdout & stderr logs - Understand how to monitor applications - Evaluate cluster and node logging - Troubleshoot application failure |
| Services & Networking | 20% | - Understand and use CoreDNS - Define and enforce Network Policies - Know how to use Ingress controllers and Ingress resources - Use the Gateway API to manage Ingress traffic - Understand connectivity between Pods - Use ClusterIP, NodePort, LoadBalancer service types and endpoints |
| Storage | 10% | - Understand persistent volume claims primitive - Understand volume mode, access modes and reclaim policies - Understand Storage Classes and Persistent Volumes - Understand how to configure applications with persistent storage |
| Workloads & Scheduling | 15% | - Understand DaemonSets - Understand Static Pods - Use ConfigMaps and Secrets to configure applications - Understand how scheduler works - Understand resource limits and requests - Understand how to run multiple schedulers and configure scheduler policies - Use label selectors to schedule Pods - Understand Deployments and rolling update/rollback |
| Cluster Architecture, Installation & Configuration | 25% | - Create and manage Kubernetes clusters using kubeadm - Understand extension interfaces (CNI, CSI, CRI, etc.) - Prepare underlying infrastructure for installing a Kubernetes cluster - Implement and configure a highly-available control plane - Manage the lifecycle of Kubernetes clusters - Understand CRDs, install and configure operators - Use Helm and Kustomize to install cluster components - Manage role based access control (RBAC) |
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NEW QUESTION # 79
Which one is the correct configuration?
Answer: D
NEW QUESTION # 80
Create a ETCD backup of kubernetes cluster
Note : You don't need to memorize command, refer -
https://kubernetes.io/docs/tasks/administer-cluster/configureupgrade-etcd/ during exam
Answer: B
NEW QUESTION # 81
You have a Kubernetes cluster with multiple namespaces. You want to create a ClusterRole that grants users in the "admins" group the ability to create, delete, and list Pods in any namespace, but restricts them from managing namespaces themselves.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the ClusterRole:
2. Create the ClusterRoleBinding:
3. Apply the ClusterRole and ClusterRoleBinding: bash kubectl apply -f clusterrole.yaml kubectl apply -f clusterrolebinding.yaml
NEW QUESTION # 82
Score: 4%
Task
Set the node named ek8s-node-1 as unavailable and reschedule all the pods running on it.
Answer:
Explanation:
See the solution below.
Explanation
SOLUTION:
[student@node-1] > ssh ek8s
kubectl cordon ek8s-node-1
kubectl drain ek8s-node-1 --delete-local-data --ignore-daemonsets --force
NEW QUESTION # 83
You are running a critical application on Kubernetes that requires high availability. To ensure the application stays operational even if one or more nodes experience failures, you decide to implement a pod anti-affinity rule. Explain how you can configure an anti-affinity rule to prevent pods from being scheduled on the same node.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Define the Anti-Affinity Rule: Add an 'affinity' section to the 'spec.template.spec' of your Deployment or StatefulSet. Within , define a podAntiAffinity' section, specifying that pods with the same label should not be placed on the same node.
2. Use 'requiredDuringSchedulinglgnoredDuringExecution': The 'requiredDuringSchedulinglgnoredDuringExecutioru section ensures that the rule is enforced during pod scheduling. Once a pod is scheduled, the rule is ignored. This ensures that even if a node fails, the remaining pods are not affected. 3. Set 'topologyKey': The 'topologyKey' is set to 'kubernetes.io/hostname'. This tells Kubernetes to consider the node's hostname for pod placement. It will prevent pods with the label 'app: my-critical-app' from being scheduled on the same node. 4. Verify the Deployment: Apply the YAML file to your cluster using 'kubectl apply -f my-critical-app.yaml'. You can then check the status of your Deployment using 'kubectl get pods -l app=my-critical-app' to verify that the pods are distributed across different nodes.
NEW QUESTION # 84
......
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