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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Workloads & Scheduling | 15% | - ConfigMaps and Secrets - Deployments and rolling updates - Scheduling constraints |
| Topic 2: Services & Networking | 20% | - Ingress configuration - Services (ClusterIP, NodePort, LoadBalancer) - Network policies |
| Topic 3: Troubleshooting | 30% | - Application and networking debugging - Cluster component troubleshooting |
| Topic 4: Storage | 10% | - PersistentVolumes and PersistentVolumeClaims - Storage classes |
| Topic 5: Cluster Architecture, Installation & Configuration | 25% | - Kubernetes architecture components - High availability setup - Cluster installation and configuration |
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NEW QUESTION # 83
You have a Deployment named 'web-app' with 3 replicas running a Flask application. You need to implement a rolling update strategy that ensures only one pod is unavailable at any time. Additionally, you need to implement a strategy to handle the update process when the pod's resource requests exceed the available resources.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas' to 2.
- Define 'maxUnavailable: 1' and 'maxSurge: 0' in the 'strategy.rollingUpdate' section to control the rolling update process.
- Configure a 'strategy.type" to 'RollingUpdate" to trigger a rolling update when the deployment is updated.
- Add a 'spec.template.spec.resources' section to define resource requests for the pod.
- Set 'spec.template.spec.restartPolicy' to 'OnFailure' for the pod to restart when it fails.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f web-app.yaml' 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments web-app' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Update the 'web-app' image in the Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=web-app' to monitor the pod updates during the rolling update process. You will observe that one pod is terminated at a time, while one new pod with the updated image is created. 6. Handle Resource Exceedance: - If the pod's resource requests exceed the available resources, the pod will be evicted and restarted. The 'restartPolicy' ensures that the pod restarts automatically upon failure. 7. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment web-app' to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.
NEW QUESTION # 84
You are running a stateful application on Kubernetes with a Deployment that manages five pods. Each pod has a persistent volume claim (PVC) that mounts a volume to store application dat a. You need to ensure that the pods are always deployed in the same order and that data is consistently accessed from the same PVC. How can you achieve this using Kubernetes features?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Enable StatefulSet: Create a StatefulSet instead of a Deployment. StatefulSets are specifically designed to manage stateful applications.
2. Use the 'podManagementPolicy' Field: Set the 'podManagementPolicy' field to 'OrderedReady' in the spec' section of your StatefulSet to ensure that pods are deployed in the same order and become ready before new pods are deployed. This policy guarantees that the previous pod is ready before the next one is started.
3. Utilize Persistent Volumes: Ensure that your PVCs are bound to persistent volumes (PVs). PVs are the underlying storage resources that back your PVCs. They are usually provisioned using a storage class.
4. Set 'serviceName': The 'serviceName' field should be specified in the StatefulSet to create a service for accessing the application. This service allows you to access the application based on its name, regardless of which pod is currently serving the requests.
5. Verify Deployment: After applying the YAML, check the status of your StatefulSet using 'kubectl get statefulset my-stateful-app'. Ensure that the pods are deployed in the specified order and are running. You can also verify the PVCs using 'kubectl get pvc' to make sure they are bound to the correct PVs.
NEW QUESTION # 85
Check nodes which are ready and print it to a file /opt/nodestatus
Answer: B
NEW QUESTION # 86
Ensure a single instance of pod nginx is running on each node of the Kubernetes cluster where nginx also represents the Image name which has to be used. Do not override any taints currently in place.
Use DaemonSet to complete this task and use ds-kusc00201 as DaemonSet name.
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 87
Create 2 nginx image pods in which one of them is labelled with env=prod and another one labelled with env=dev and verify the same.
Answer:
Explanation:
See the solution below.
Explanation
kubectl run --generator=run-pod/v1 --image=nginx -- labels=env=prod nginx-prod --dry-run -o yaml > nginx-prodpod.yaml Now, edit nginx-prod-pod.yaml file and remove entries like "creationTimestamp: null"
"dnsPolicy: ClusterFirst"
vim nginx-prod-pod.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
env: prod
name: nginx-prod
spec:
containers:
- image: nginx
name: nginx-prod
restartPolicy: Always
# kubectl create -f nginx-prod-pod.yaml
kubectl run --generator=run-pod/v1 --image=nginx --
labels=env=dev nginx-dev --dry-run -o yaml > nginx-dev-pod.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
env: dev
name: nginx-dev
spec:
containers:
- image: nginx
name: nginx-dev
restartPolicy: Always
# kubectl create -f nginx-prod-dev.yaml
Verify :
kubectl get po --show-labels
kubectl get po -l env=prod
kubectl get po -l env=dev
NEW QUESTION # 88
......
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