Pass the Linux Foundation Kubernetes Administrator CKA Questions and answers with ExamsMirror

kubectl get po -o=custom-columns="POD_NAME:.metadata.name,

POD_STATUS:.status.containerStatuses[].state"

solution

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F:\Work\Data Entry Work\Data Entry\20200827\CKA\15 C.JPG

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Task Summary

SSH into the correct node: cka000049

Find the highest existing user-defined PriorityClass

Create a new PriorityClass high-priority with a value one less

Patch Deployment busybox-logger (in namespace priority) to use this new PriorityClass

Step-by-Step Solution

1️⃣ SSH into the correct node

bash

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ssh cka000049

⚠️ Skipping this = zero score

2️⃣ Find the highest existing user-defined PriorityClass

Run:

bash

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kubectl get priorityclasses.scheduling.k8s.io

Example output:

vbnet

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NAME VALUE GLOBALDEFAULT AGE

default-low 1000 false 10d

mid-tier 2000 false 7d

critical-pods 1000000 true 30d

Exclude system-defined classes like system-* and the default global one (e.g., critical-pods).

Let's assume the highest user-defined value is 2000.

So your new class should be:

Value = 1999

3️⃣ Create the high-priority PriorityClass

Create a file called high-priority.yaml:

cat < high-priority.yaml

apiVersion: scheduling.k8s.io/v1

kind: PriorityClass

metadata:

name: high-priority

value: 1999

globalDefault: false

description: "High priority class for user workloads"

EOF

Apply it:

kubectl apply -f high-priority.yaml

4️⃣ Patch the busybox-logger deployment

Now patch the existing Deployment in the priority namespace:

kubectl patch deployment busybox-logger -n priority \

--type='merge' \

-p '{"spec": {"template": {"spec": {"priorityClassName": "high-priority"}}}}'

5️⃣ Verify your work

Confirm the patch was applied:

kubectl get deployment busybox-logger -n priority -o jsonpath='{.spec.template.spec.priorityClassName}'

✅ You should see:

high-priority

Also, confirm the class exists:

kubectl get priorityclass high-priority

Final Command Summary

ssh cka000049

kubectl get priorityclass

# Create the new PriorityClass

cat < high-priority.yaml

apiVersion: scheduling.k8s.io/v1

kind: PriorityClass

metadata:

name: high-priority

value: 1999

globalDefault: false

description: "High priority class for user workloads"

EOF

kubectl apply -f high-priority.yaml

# Patch the deployment

kubectl patch deployment busybox-logger -n priority \

--type='merge' \

-p '{"spec": {"template": {"spec": {"priorityClassName": "high-priority"}}}}'

# Verify

kubectl get deployment busybox-logger -n priority -o jsonpath='{.spec.template.spec.priorityClassName}'

kubectl get priorityclass high-priority

Task Summary

SSH into cka000022 ✅

Modify an existing Deployment:

Namespace: spline-reticulator

Deployment: front-end

Container: nginx

Expose: port 80/tcp

Create a Service:

Name: front-end-svc

Type: NodePort

Port: 80 → container port 80

✅ Step-by-Step Solution

1️⃣ SSH into the correct node

ssh cka000022

⚠️ Skipping this = zero score

2️⃣ Edit the Deployment to expose port 80

kubectl edit deployment front-end -n spline-reticulator

Under containers: → nginx, add this if not present:

ports:

- containerPort: 80

protocol: TCP

✅ This enables the container to accept traffic on port 80.

3️⃣ Create a NodePort Service

Create a file named front-end-svc.yaml:

cat < front-end-svc.yaml

apiVersion: v1

kind: Service

metadata:

name: front-end-svc

namespace: spline-reticulator

spec:

type: NodePort

selector:

app: front-end

ports:

- port: 80

targetPort: 80

protocol: TCP

EOF

⚠️ Make sure the Deployment has a matching label selector like app: front-end. You can verify with:

kubectl get deployment front-end -n spline-reticulator -o yaml | grep labels -A 2

4️⃣ Apply the service

kubectl apply -f front-end-svc.yaml

5️⃣ Verify

Check if the service is created and has a NodePort assigned:

kubectl get svc front-end-svc -n spline-reticulator

✅ You should see something like:

NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE

front-end-svc NodePort 10.96.0.123 80:3XXXX/TCP 10s

Where 3XXXX is your automatically assigned NodePort (between 30000–32767).

Final Command Summary

ssh cka000022

kubectl edit deployment front-end -n spline-reticulator

# Add:

# ports:

# - containerPort: 80

cat < front-end-svc.yaml

apiVersion: v1

kind: Service

metadata:

name: front-end-svc

namespace: spline-reticulator

spec:

type: NodePort

selector:

app: front-end

ports:

- port: 80

targetPort: 80

protocol: TCP

EOF

kubectl apply -f front-end-svc.yaml

kubectl get svc front-end-svc -n spline-reticulator

kubectl get po -o=custom-columns="POD_NAME:.metadata.name,

POD_STATUS:.status.containerStatuses[].state"

Solution:

kubectl get deployment

kubectl scale deployment.apps/presentation --replicas=6

Solution:

kubectl run kucc8 --image=nginx --dry-run -o yaml > kucc8.yaml

# vi kucc8.yaml

apiVersion: v1

kind: Pod

metadata:

creationTimestamp: null

name: kucc8

spec:

containers:

- image: nginx

name: nginx

- image: redis

name: redis

- image: memcached

name: memcached

- image: consul

name: consul

#

kubectl create -f kucc8.yaml

#12.07

Solution:

Task should be complete on node k8s -1 master, 2 worker for this connect use command

[student@node-1] > ssh k8s

kubectl create clusterrole deployment-clusterrole --verb=create --resource=deployments,statefulsets,daemonsets

kubectl create serviceaccount cicd-token --namespace=app-team1

kubectl create rolebinding deployment-clusterrole --clusterrole=deployment-clusterrole --serviceaccount=default:cicd-token --namespace=app-team1