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Linux Foundation CKA Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Services & Networking	20%	- Use the Gateway API to manage Ingress traffic - Understand and use CoreDNS - Know how to use Ingress controllers and Ingress resources - Define and enforce Network Policies - Use ClusterIP, NodePort, LoadBalancer service types and endpoints - Understand connectivity between Pods
Topic 2: Cluster Architecture, Installation & Configuration	25%	- Create and manage Kubernetes clusters using kubeadm - Understand extension interfaces (CNI, CSI, CRI, etc.) - Use Helm and Kustomize to install cluster components - Manage the lifecycle of Kubernetes clusters - Prepare underlying infrastructure for installing a Kubernetes cluster - Implement and configure a highly-available control plane - Manage role based access control (RBAC) - Understand CRDs, install and configure operators
Topic 3: Workloads & Scheduling	15%	- Understand Deployments and rolling update/rollback - Use label selectors to schedule Pods - Understand DaemonSets - Understand how to run multiple schedulers and configure scheduler policies - Use ConfigMaps and Secrets to configure applications - Understand Static Pods - Understand resource limits and requests - Understand how scheduler works
Topic 4: Troubleshooting	30%	- Manage container stdout & stderr logs - Understand how to monitor applications - Troubleshoot application failure - Troubleshoot networking - Evaluate cluster and node logging - Troubleshoot cluster component failure
Topic 5: Storage	10%	- Understand how to configure applications with persistent storage - Understand Storage Classes and Persistent Volumes - Understand volume mode, access modes and reclaim policies - Understand persistent volume claims primitive

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q24-Q29):

NEW QUESTION # 24
Create a redis pod named "test-redis" and exec into that pod and create a file named "test-file.txt" with the text 'This is called the test file' in the path /data/redis and open another tab and exec again with the same pod and verifies file exist in the same path.

A. vim test-redis.yaml
apiVersion: v1
kind: Pod
metadata:
name: test-redis
spec:
containers:
- name: redis
image: redis
ports:
- containerPort: 6379
volumeMounts:
- mountPath: /data/redis
name: redis-storage
volumes:
- name: redis-storage
emptyDir: {}
kubectl apply -f redis-pod-vol.yaml
// first terminal
kubectl exec -it test-redis /bin/sh
cd /data/redis
echo 'This is called the test file' > file.txt
//open another tab
kubectl exec -it test-redis /bin/sh
cat /data/redis/file.txt
B. vim test-redis.yaml
apiVersion: v1
kind: Pod
metadata:
name: test-redis
spec:
containers:
- name: redis
image: redis
ports:
- containerPort: 6379
volumeMounts:
- mountPath: /data/redis
name: redis-storage
volumes:
kubectl exec -it test-redis /bin/sh
cd /data/redis
echo 'This is called the test file' > file.txt
//open another tab
kubectl exec -it test-redis /bin/sh
cat /data/redis/file.txt

Answer: A

NEW QUESTION # 25
Monitor the logs of pod foo and:
Extract log lines corresponding
unable-to-access-website
Write them to/opt/KULM00201/foo

Answer:

Explanation:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\1 B.JPG

F:\Work\Data Entry Work\Data Entry\20200827\CKA\1 C.JPG

NEW QUESTION # 26
You need to schedule a pod to run only on nodes that have specific hardware resources, such as a certain amount of memory or a particular GPU type. Explain how you can use node affinity to achieve this.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Node Affinity: Add an 'affinity' section to the 'spec.template.spec' section of your pod definition YAML file.

2. Set 'nodeSelectorTerms': In the 'nodeAffinity' section, specify requiredDuringSchedulinglgnoredDuringExecutioru to indicate that the node affinity rule must be met during pod scheduling. Within 'nodeSelectorTerms' , use 'matchExpressions' to match the node label 'kubernetes.io/hostname' to the value 'my-gpu-node'. Replace "my-gpu-node" with the actual hostname of the node that has the required resources. 3. Apply the Pod: Apply the YAML file to your cluster using 'kubectl apply -f my-resource-intensive-pod.yaml' Kubernetes will attempt to schedule the pod only on the node labeled 'my-gpu-node'. If the node is unavailable or if no nodes have the required labels, the pod will remain in a pending state until a suitable node becomes available.

NEW QUESTION # 27
You are running a Kubernetes cluster with a NodePort service exposing a web application on port 80. You want to access the web application from a client machine outside the cluster. However, the client machine is behind a NAT gateway and you cannot directly configure firewall rules on the gateway. How can you configure the Kubernetes cluster to allow the client machine to access the web application?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a NodePort Service:
- Create a NodePort service that exposes port 80 of the web application on a specific NodePort (for example,
30080).
- Code:

2. Configure NAT Gateway: - Configure the NAT gateway to forward traffic from the client machine's IP address and port to the Kubernetes cluster's IP address and the NodePort. - Note: This configuration will depend on the specific NAT gateway and its configuration options. 3. Access the Application: - On the client machine, access the web application by using the Kubernetes cluster's IP address and the NodePort. - Example: 'http://:30080'

NEW QUESTION # 28
Set the node named ek8s-node-1 as unavailable and reschedule all the pods running on it.

Answer:

Explanation:
solution

NEW QUESTION # 29
......

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