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| Section | Weight | Objectives |
|---|---|---|
| Workloads & Scheduling | 15% | - Deployments, rolling updates and rollbacks - Pod scheduling: node selector, affinity, taints/tolerations - Pod lifecycle, init containers, probes - Configure applications with ConfigMaps and Secrets - Resource requests, limits and autoscaling |
| Cluster Architecture, Installation & Configuration | 25% | - Implement high availability control plane - Prepare infrastructure for cluster installation - Create and manage clusters with kubeadm - Work with CRDs and Operators - Manage RBAC - Install components via Helm / Kustomize - Understand CNI, CSI, CRI interfaces - Manage cluster lifecycle and upgrades |
| Services & Networking | 20% | - Network policies - CNI configuration and troubleshooting - CoreDNS and service discovery - Service types: ClusterIP, NodePort, LoadBalancer, ExternalName - Ingress resources and controllers |
| Troubleshooting | 30% | - Log collection and analysis - Cluster component health checks - Control plane component failures - Network connectivity and DNS resolution problems - Pod and application failures - Worker node issues and recovery |
| Storage | 10% | - StatefulSet storage configuration - Persistent Volumes (PV) and Persistent Volume Claims (PVC) - Volume types and access modes - StorageClasses and dynamic provisioning |
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NEW QUESTION # 21
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 # 22
Create a namespace called 'development' and a pod with image nginx called nginx on this namespace.
Answer:
Explanation:
kubectl create namespace development
kubectl run nginx --image=nginx --restart=Never -n development
NEW QUESTION # 23
From the pod label name=cpu-utilizer, find pods running high CPU workloads and write the name of the pod consuming most CPU to the file /opt/KUTR00102/KUTR00102.txt (which already exists).
Answer:
Explanation:
NEW QUESTION # 24
On the NGFW, how can you generate and block a private key from export and thus harden your security posture and prevent rogue administrators or other bad actors from misusing keys?
Answer: C
NEW QUESTION # 25
Create a deployment as follows:
Name: nginx-app
Using container nginx with version 1.11.10-alpine
The deployment should contain 3 replicas
Next, deploy the application with new version 1.11.13-alpine, by performing a rolling update.
Finally, rollback that update to the previous version 1.11.10-alpine.
Answer:
Explanation:
solution
NEW QUESTION # 26
......
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