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Linux Foundation CKA Exam Syllabus Topics:

Section	Weight	Objectives
Workloads & Scheduling	15%	- Understand Deployments and rolling update/rollback - Understand DaemonSets - Understand how scheduler works - Understand Static Pods - Understand how to run multiple schedulers and configure scheduler policies - Use ConfigMaps and Secrets to configure applications - Understand resource limits and requests - Use label selectors to schedule Pods
Storage	10%	- Understand volume mode, access modes and reclaim policies - Understand Storage Classes and Persistent Volumes - Understand persistent volume claims primitive - Understand how to configure applications with persistent storage
Troubleshooting	30%	- Troubleshoot cluster component failure - Troubleshoot networking - Understand how to monitor applications - Troubleshoot application failure - Manage container stdout & stderr logs - Evaluate cluster and node logging
Services & Networking	20%	- Know how to use Ingress controllers and Ingress resources - Use the Gateway API to manage Ingress traffic - Define and enforce Network Policies - Understand connectivity between Pods - Use ClusterIP, NodePort, LoadBalancer service types and endpoints - Understand and use CoreDNS
Cluster Architecture, Installation & Configuration	25%	- Understand CRDs, install and configure operators - Understand extension interfaces (CNI, CSI, CRI, etc.) - Prepare underlying infrastructure for installing a Kubernetes cluster - Use Helm and Kustomize to install cluster components - Create and manage Kubernetes clusters using kubeadm - Manage the lifecycle of Kubernetes clusters - Implement and configure a highly-available control plane - Manage role based access control (RBAC)

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q33-Q38):

NEW QUESTION # 33
Create an nginx pod which loads the secret as environment variables

A. // create a yml file
kubectl run nginx --image=nginx --restart=Never --dry-run -o
yaml > nginx.yml
// add env section below and create
vim nginx.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: nginx
name: nginx
spec:
containers:
- image: nginx
name: nginx
envFrom:
- secretRef:
name: my-secret
restartPolicy: Never
kubectl apply -f nginx.yaml
//verify
kubectl exec -it nginx - env
B. // create a yml file
kubectl run nginx --image=nginx --restart=Never --dry-run -o
yaml > nginx.yml
// add env section below and create
vim nginx.yaml
run: nginx
name: nginx
spec:
containers:
- image: nginx
name: nginx
envFrom:
- secretRef:
name: my-secret
restartPolicy: Never
kubectl apply -f nginx.yaml
//verify
kubectl exec -it nginx - env

Answer: A

NEW QUESTION # 34
Score:7%

Context
An existing Pod needs to be integrated into the Kubernetes built-in logging architecture (e. g. kubectl logs). Adding a streaming sidecar container is a good and common way to accomplish this requirement.
Task
Add a sidecar container named sidecar, using the busybox Image, to the existing Pod big-corp-app. The new sidecar container has to run the following command:
/bin/sh -c tail -n+1 -f /va r/log/big-corp-app.log
Use a Volume, mounted at /var/log, to make the log file big-corp-app.log available to the sidecar container.

Answer:

Explanation:
Solution:
#
kubectl get pod big-corp-app -o yaml
#
apiVersion: v1
kind: Pod
metadata:
name: big-corp-app
spec:
containers:
- name: big-corp-app
image: busybox
args:
- /bin/sh
- -c
- >
i=0;
while true;
do
echo "$(date) INFO $i" >> /var/log/big-corp-app.log;
i=$((i+1));
sleep 1;
done
volumeMounts:
- name: logs
mountPath: /var/log
- name: count-log-1
image: busybox
args: [/bin/sh, -c, 'tail -n+1 -f /var/log/big-corp-app.log']
volumeMounts:
- name: logs
mountPath: /var/log
volumes:
- name: logs
emptyDir: {
}
#
kubectl logs big-corp-app -c count-log-1

NEW QUESTION # 35
Get the memory and CPU usage of all the pods and find out top 3 pods which have the highest usage and put them into the cpuusage.txt file

A. // Get the top 3 pods
kubectl top pod --all-namespaces | sort --reverse --key 3 --
numeric | head -8
// putting into file
kubectl top pod --all-namespaces | sort --reverse --key 6 --
numeric | head -6 > cpu-usage.txt
// verify
cat cpu-usage.txt
B. // Get the top 3 pods
kubectl top pod --all-namespaces | sort --reverse --key 3 --
numeric | head -3
// putting into file
kubectl top pod --all-namespaces | sort --reverse --key 3 --
numeric | head -3 > cpu-usage.txt
// verify
cat cpu-usage.txt

Answer: B

NEW QUESTION # 36
You are managing a Kubernetes cluster for a company with multiple teams working on different projects. You want to implement RBAC to ensure each team has access only to the resources they need.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Team A (developers) needs to create and manage deployments, pods, and services in the "dev" namespace.
Team B (ops) needs to manage the cluster's overall health and can access all resources in all namespaces.
Team C (security) needs to audit and monitor all cluster activity but cannot modify any resources.
Create a YAML file to define the roles and role bindings to implement this RBAC setup.
Solution (Step by Step) :
1 . Create the "dev" namespace:
kubectl create namespace dev
2. Define the "dev-team" role:

3. Create the "dev-team" role binding:

4. Define the "ops-team" role:

5. Create the "ops-team" role binding:

6. Define the "security-team" role:

7. Create the "security-team" role binding:

8. Apply the YAML file to the cluster: kubectl apply -f rbac-config.yaml

NEW QUESTION # 37
Monitor the logs of pod foo and:
Extract log lines corresponding to error
unable-to-access-website
Write them to /opt/KULM00201/foo

Answer:

Explanation:
solution

NEW QUESTION # 38
......

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