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The CKA exam is a performance-based exam, which means that it assesses the practical skills of the candidate in real-world scenarios. CKA exam consists of a set of performance-based tasks that must be completed within a fixed time frame. CKA exam is conducted online and can be taken from any location with a stable internet connection. CKA exam is designed to test the candidate's ability to deploy, configure, and manage Kubernetes clusters, as well as troubleshoot common issues.

Linux Foundation CKA Program Exam is designed for system administrators, DevOps engineers, and IT professionals who are responsible for deploying and managing Kubernetes clusters in a production environment. Certified Kubernetes Administrator (CKA) Program Exam certification helps professionals demonstrate their expertise in Kubernetes, which is one of the most popular container orchestration tools used in the industry.

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q43-Q48):

NEW QUESTION # 43
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:
See the solution below.
Explanation
solution


NEW QUESTION # 44

Task
Create a new HorizontalPodAutoscaler (HPA ) named apache-server in the autoscale namespace. This HPA must target the existing Deployment called apache-server in the autoscale namespace.
Set the HPA to aim for 50% CPU usage per Pod . Configure it to have at least 1 Pod and no more than 4 Pods
. Also, set the downscale stabilization window to 30 seconds.

Answer:

Explanation:
Task Summary
* Create an HPA named apache-server in the autoscale namespace.
* Target an existing deployment also named apache-server.
* CPU target: 50%
* Pod range: min 1, max 4
* Downscale stabilization window: 30 seconds
Step-by-Step Answer
# Step 1: Connect to the correct host
This is critical, as shown in the warning image.
ssh cka000050
# Skipping this may result in zero for this question!
# Step 2: Verify the deployment exists
kubectl get deployment apache-server -n autoscale
Make sure it's there before creating the HPA. If it's missing, the HPA won't bind correctly.
## Step 3: Create the HPA
We will use the kubectl autoscale command for a quick setup, then patch it to add the stabilization window (since kubectl autoscale doesn't include it).
kubectl autoscale deployment apache-server
--namespace autoscale
--cpu-percent=50
--min=1
--max=4
# Step 4: Add the downscale stabilization window
You'll need to patch the HPA to include the stabilization window of 30s.
Create a patch file called hpa-patch.yaml:
spec:
behavior:
scaleDown:
stabilizationWindowSeconds: 30
Apply the patch:
bash
CopyEdit
kubectl patch hpa apache-server
-n autoscale
--patch "$(cat hpa-patch.yaml)"
# Step 5: Confirm your work
bash
CopyEdit
kubectl describe hpa apache-server -n autoscale
Look for:
* Min/Max Pods: 1/4
* Target CPU utilization: 50%
* Stabilization window: should appear under Behavior > ScaleDown
ssh cka000050
kubectl get deployment apache-server -n autoscale
kubectl autoscale deployment apache-server
--namespace autoscale
--cpu-percent=50
--min=1
--max=4
# Patch to add stabilization window
cat <<EOF > hpa-patch.yaml
spec:
behavior:
scaleDown:
stabilizationWindowSeconds: 30
EOF
kubectl patch hpa apache-server -n autoscale --patch "$(cat hpa-patch.yaml)"


NEW QUESTION # 45
Get list of PVs and order by size and write to file - /opt/pvlist.txt

Answer:

Explanation:
kubectl get pv --sort-by=.spec.capacity.storage > /opt/pvlist.txt


NEW QUESTION # 46
Create a redis pod and mount "redis-config" as "redis.conf"
inside redis container, name the config volume as "redis-volume"
redis-config path - /opt/redis-config

Answer: A


NEW QUESTION # 47
Perform the following tasks:
Add an init container to hungry-bear (which has been defined in spec file /opt/KUCC00108/pod-spec-KUC C00108.yaml ) The init container should create an empty file named /workdir/calm.txt If /workdir/calm.txt is not detected, the pod should exit Once the spec file has been updated with the init container definition, the pod should be created

Answer:

Explanation:
solution



NEW QUESTION # 48
......

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