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The CKA program is highly regarded in the industry, and individuals who have earned this certification are considered experts in Kubernetes administration. Certified Kubernetes Administrator (CKA) Program Exam certification is recognized globally and is highly valued by organizations looking for Kubernetes administrators. The CKA program is a great way for individuals to demonstrate their expertise in Kubernetes administration and enhance their career opportunities.
The CKA certification is ideal for system administrators, developers, and IT professionals who work with Kubernetes and want to validate their skills and knowledge. Certified Kubernetes Administrator (CKA) Program Exam certification provides a competitive edge to individuals in the job market and opens up new career opportunities in the field of containerization and cloud computing. Certified Kubernetes Administrator (CKA) Program Exam certification is also recognized by leading companies in the industry, such as Google, Microsoft, and Red Hat, and is a valuable addition to any professional's resume.
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The CKA program is an online, proctored exam that consists of a set of performance-based tasks that test the candidate's ability to perform real-world Kubernetes administration tasks. CKA exam is designed to assess an individual's ability to work with Kubernetes in a production environment. CKA Exam covers a range of topics, including Kubernetes architecture, cluster installation and configuration, application deployment, networking, security, and troubleshooting.
NEW QUESTION # 14
List all persistent volumes sorted by capacity, saving the full kubectl output to
/opt/KUCC00102/volume_list. Use kubectl 's own functionality for sorting the output, and do not manipulate it any further.
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 15
Create a nginx pod with label env=test in engineering namespace
Answer:
Explanation:
kubectl run nginx --image=nginx --restart=Never --labels=env=test --namespace=engineering --dry-run -o yaml > nginx-pod.yaml kubectl run nginx --image=nginx --restart=Never --labels=env=test --namespace=engineering --dry-run -o yaml | kubectl create -n engineering -f - YAML File:
apiVersion: v1
kind: Pod
metadata:
name: nginx
namespace: engineering
labels:
env: test
spec:
containers:
- name: nginx
image: nginx
imagePullPolicy: IfNotPresent
restartPolicy: Never
kubectl create -f nginx-pod.yaml
NEW QUESTION # 16
You must connect to the correct host.
Failure to do so may result in a zero score.
[candidate@base] $ ssh Cka000060
Task
Install Argo CD in the cluster by performing the following tasks:
Add the official Argo CD Helm repository with the name argo
The Argo CD CRDs have already been pre-installed in the cluster
Generate a template of the Argo CD Helm chart version 7.7.3 for the argocd namespace and save it to ~/argo- helm.yaml . Configure the chart to not install CRDs.
Answer:
Explanation:
Task Summary
* SSH into cka000060
* Add the Argo CD Helm repo named argo
* Generate a manifest (~/argo-helm.yaml) for Argo CD version 7.7.3
* Target namespace: argocd
* Do not install CRDs
* Just generate, don't install
# Step-by-Step Solution
1## SSH into the correct host
ssh cka000060
## Required - skipping this = zero score
2## Add the Argo CD Helm repository
helm repo add argo https://argoproj.github.io/argo-helm
helm repo update
# This adds the official Argo Helm chart source.
3## Generate Argo CD Helm chart template (version 7.7.3)
Use the helm template command to generate a manifest and write it to ~/argo-helm.yaml.
helm template argocd argo/argo-cd \
--version 7.7.3 \
--namespace argocd \
--set crds.install=false \
> ~/argo-helm.yaml
* argocd # Release name (can be anything; here it's same as the namespace)
* --set crds.install=false # Disables CRD installation
* > ~/argo-helm.yaml # Save to required file
# 4## Verify the generated file (optional but smart)
head ~/argo-helm.yaml
Check that it contains valid Kubernetes YAML and does not include CRDs.
# Final Command Summary
ssh cka000060
helm repo add argo https://argoproj.github.io/argo-helm
helm repo update
helm template argocd argo/argo-cd \
--version 7.7.3 \
--namespace argocd \
--set crds.install=false \
> ~/argo-helm.yaml
head ~/argo-helm.yaml # Optional verification
NEW QUESTION # 17
You must connect to the correct host.
Failure to do so may result in a zero score.
[candidate@base] $ ssh Cka000022
Task
Reconfigure the existing Deployment front-end in namespace spline-reticulator to expose port 80/tcp of the existing container nginx .
Create a new Service named front-end-svc exposing the container port 80/tcp .
Configure the new Service to also expose the individual Pods via a NodePort .
Answer:
Explanation:
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
1## SSH into the correct node
ssh cka000022
## Skipping this = zero score
2## 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.
3## Create a NodePort Service
Create a file named front-end-svc.yaml:
cat <<EOF > 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
4## Apply the service
kubectl apply -f front-end-svc.yaml
5## 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 <none> 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 <<EOF > 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
NEW QUESTION # 18
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 # 19
......
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