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Linux Foundation CKA Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Workloads & Scheduling15%- Configure applications with ConfigMaps and Secrets
- Pod scheduling: node selector, affinity, taints/tolerations
- Resource requests, limits and autoscaling
- Deployments, rolling updates and rollbacks
- Pod lifecycle, init containers, probes
Topic 2: Storage10%- StatefulSet storage configuration
- Volume types and access modes
- Persistent Volumes (PV) and Persistent Volume Claims (PVC)
- StorageClasses and dynamic provisioning
Topic 3: Services & Networking20%- Ingress resources and controllers
- Service types: ClusterIP, NodePort, LoadBalancer, ExternalName
- Network policies
- CNI configuration and troubleshooting
- CoreDNS and service discovery
Topic 4: Cluster Architecture, Installation & Configuration25%- Install components via Helm / Kustomize
- Work with CRDs and Operators
- Prepare infrastructure for cluster installation
- Create and manage clusters with kubeadm
- Manage RBAC
- Implement high availability control plane
- Manage cluster lifecycle and upgrades
- Understand CNI, CSI, CRI interfaces
Topic 5: Troubleshooting30%- Control plane component failures
- Pod and application failures
- Log collection and analysis
- Worker node issues and recovery
- Network connectivity and DNS resolution problems
- Cluster component health checks

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q14-Q19):

NEW QUESTION # 14
Create a deployment as follows:
* Name: nginx-random
* Exposed via a service nginx-random
* Ensure that the service & pod are accessible via their respective DNS records
* The container(s) within any pod(s) running as a part of this deployment should use the nginx Image Next, use the utility nslookup to look up the DNS records of the service & pod and write the output to
/opt/KUNW00601/service.dns and /opt/KUNW00601/pod.dns respectively.

Answer:

Explanation:
See the solution below.
Explanation
Solution:



NEW QUESTION # 15
You have a Deployment running on a Kubernetes cluster with limited resources. How can you adjust the Deployment to use resources more efficiently and prevent resource contention?

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 utilization data. - Adjust resource requests and limits accordingly based on the monitoring data.


NEW QUESTION # 16
Create a hostPath PersistentVolume named task-pv-volume with storage 10Gi, access modes ReadWriteOnce, storageClassName manual, and volume at /mnt/data and verify

Answer: A


NEW QUESTION # 17
Get the DNS records for the service and pods for the deployment redis and the put the value in /tmp/dnsrecordpod and /tmp/dnsrecord-service

Answer: B


NEW QUESTION # 18
Create a Pod nginx and specify both CPU, memory requests and limits together and verify.

Answer: A


NEW QUESTION # 19
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