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| Section | Weight | Objectives |
|---|---|---|
| Workloads & Scheduling | 15% | - Understand how to run multiple schedulers and configure scheduler policies - Understand how scheduler works - Understand resource limits and requests - Use label selectors to schedule Pods - Understand Static Pods - Use ConfigMaps and Secrets to configure applications - Understand DaemonSets - Understand Deployments and rolling update/rollback |
| Services & Networking | 20% | - Understand and use CoreDNS - Use the Gateway API to manage Ingress traffic - Use ClusterIP, NodePort, LoadBalancer service types and endpoints - Define and enforce Network Policies - Understand connectivity between Pods - Know how to use Ingress controllers and Ingress resources |
| Cluster Architecture, Installation & Configuration | 25% | - Implement and configure a highly-available control plane - Understand CRDs, install and configure operators - Use Helm and Kustomize to install cluster components - Manage the lifecycle of Kubernetes clusters - Create and manage Kubernetes clusters using kubeadm - Prepare underlying infrastructure for installing a Kubernetes cluster - Manage role based access control (RBAC) - Understand extension interfaces (CNI, CSI, CRI, etc.) |
| Storage | 10% | - Understand persistent volume claims primitive - Understand how to configure applications with persistent storage - Understand Storage Classes and Persistent Volumes - Understand volume mode, access modes and reclaim policies |
| Troubleshooting | 30% | - Troubleshoot networking - Evaluate cluster and node logging - Troubleshoot application failure - Understand how to monitor applications - Manage container stdout & stderr logs - Troubleshoot cluster component failure |
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NEW QUESTION # 21
Score: 4%
Task
Scale the deployment presentation
Answer:
Explanation:
See the solution below.
Explanation
Solution:
kubectl get deployment
kubectl scale deployment.apps/presentation --replicas=6
NEW QUESTION # 22
Change the Image version back to 1.17.1 for the pod you just updated and observe the changes
Answer:
Explanation:
kubectl set image pod/nginx nginx=nginx:1.17.1 kubectl describe po nginx kubectl get po nginx -w # watch it
NEW QUESTION # 23
You have two Kubernetes clusters, 'cluster 1' and 'cluster2, and you need to establish a connection between the two clusters using a NetworkPolicy. You want to allow all traffic from pods in 'cluster 1' to pods in 'cluster? , and you need to implement this using an Ingress rule. What steps are required to configure this connection?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Create a NetworkPolicy in 'cluster?
- Create a NetworkPolicy in 'cluster? that allows all traffic from pods in 'cluster 1'
- Code:
2. Create an Ingress in 'cluster2: - Create an Ingress in 'cluster? that routes traffic from 'clusterl' to the appropriate services or pods in cluster?. - Code:
3. Apply the Configurations: - Apply the NetworkPolicy and Ingress resources to the respective clusters using 'kubectl apply -f networkpolicy.yaml' and 'kubectl apply -f ingress.yaml'.
NEW QUESTION # 24
Delete the pod without any delay (force delete)
Answer:
Explanation:
Kubect1 delete po "POD-NAME" --grace-period=0 --force
NEW QUESTION # 25
You have a Deployment running a complex application that requires significant resource allocation. How can you optimize the Deployment to use resources efficiently and avoid resource contention with other deployments?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Resource Requests and Limits:
- Set 'requests' and 'limits' for CPU and memory for the containers in the Deployment.
- This helps in specifying the minimum resources required by the pods and the maximum resources that they can consume.
2. Optimize Container Images: - Use smaller and more efficient container images to reduce the resource footprint of the pods. 3. Use Resource Quotas: - Apply resource quotas at the namespace level to control the resource consumption of the pods within a namespace. 4. Consider Pod Disruption Budgets (PDB): - Implement PDBs to control the maximum number of pods that can be unavailable during a rolling update or pod deletion. - This ensures that the application remains available during resource-intensive events. 5. Utilize Node Affinity and Tolerations: - Configure node affinity and tolerations to schedule pods on specific nodes that have the required resources. 6. Monitor Resource Utilization: - Regularly monitor the resource utilization of the cluster and the pods. - Use tools like 'kubectl top pods', 'kubectl top nodes', and 'kubectl describe nodes' to gather resource - Adjust resource requests and limits accordingly based on the monitoring data. 7. Consider Vertical Pod Autoscaler (VPA): - Utilize VPA to automatically adjust the resource requests and limits of pods based on their actual resource consumption. 8. Optimize Application Code: - Identify and optimize resource-intensive parts of the application code to reduce resource consumption. - Use profiling tools to identify areas for improvement. 9. Implement Resource Optimization Techniques: - Utilize techniques such as caching, lazy loading, and efficient data structures to reduce resource usage within the application. 10. Explore Resource Sharing Techniques: - If possible, explore resource sharing techniques such as using shared volumes or databases to reduce overall resource consumption.,
NEW QUESTION # 26
......
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