Test CKA Centres | Exam CKA Experience

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Linux Foundation CKA Exam Syllabus Topics:

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

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q66-Q71):

NEW QUESTION # 66
Create a job named "hello-job" with the image busybox which echos "Hello I'm running job"

A. kubectl create job hello-job --image=busybox --dry-run -o yaml
-- echo "Hello I'm running job" > hello-job.yaml
kubectl create -f hello-job.yaml
//Verify Job
kubectl get job
kubectl get po
kubectl logs hello-job-*
B. kubectl create job hello-job --image=busybox --dry-run -o yaml
-- echo "Hello I'm running job" > hello-job.yaml
kubectl create -f hello-job.yaml
//Verify Job
kubectl get po
kubectl logs hello-job-*

Answer: A

NEW QUESTION # 67
You have a Deployment running a database application with a stateful application using a StatefulSet. How can you scale the database to handle increased read traffic without impacting the write performance for the stateful application?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use a Read Replica:
- Create a read replica of the database that replicates data from the primary database.
- Use the read replica for read-only operations to distribute the read load.
2. Configure the StatefulSet:
- Configure the StatefulSet to access the read replica for read-only operations.
- Use a separate Service for the read replica and configure the StatefulSet to access it.
3. Implement a Load Balancer:
- Use a Load Balancer to direct read traffic to the read replica and write traffic to the primary database.
- Configure the Load Balancer to use a specific port for read requests and another port for write requests.
4. Monitor Performance:
- Monitor the performance of both the primary database and the read replica.
- Ensure that the read replica is adequately handling the read load without impacting the write performance on the primary database.
5. Scale Read Replicas:
- If necessary, scale the number of read replicas to handle increased read traffic.
- Add more read replicas as needed and adjust the Load Balancer configuration to distribute the traffic evenly.

NEW QUESTION # 68
You have a Kubernetes cluster with a 'default' namespace. You want to prevent any users from creating pods in this namespace.
Create a ClusterRole and ClusterRoleBinding to achieve this restriction.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
Step 1: Create a ClusterRole to deny pod creation in the 'default' namespace.

Step 2: Create a ClusterRoleBinding to apply the ClusterRole to all users.

We create a ClusterRole that specifically targets the 'default' namespace and denies 'create' permissions for pods. This ClusterRole uses 'resourceNames' and 'namespaceSelector& to precisely target the 'default' namespace. We create a ClusterRoleBinding that applies the ClusterRole to all users in the cluster. Applying the configurations: Use 'kubectl apply -f [filename].yaml' to apply the ClusterRole and ClusterRoleBinding YAML files. This will prevent anyone from creating pods in the 'default' namespace. This configuration is a powerful way to implement security policies and prevent unintended resource creation in sensitive namespaces. ,

NEW QUESTION # 69
Create a Pod nginx and specify a CPU request and a CPU limit of 0.5 and 1 respectively.

A. // create a yml file
kubectl run nginx-pod --image=nginx --restart=Never --dry-run -
o yaml > nginx-pod.yml
// add the resources section and create
vim nginx-pod.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: nginx
name: nginx
spec:
containers:
- image: nginx
name: nginx
resources:
requests:
cpu: "0.5"
limits:
cpu: "1"
restartPolicy: Always
kubectl apply -f nginx-pod.yaml
// verify
kubectl top pod
B. // create a yml file
kubectl run nginx-pod --image=nginx --restart=Never --dry-run -
o yaml > nginx-pod.yml
// add the resources section and create
vim nginx-pod.yaml
apiVersion: v1
kind: Pod
metadata:
labels:
run: nginx
name: nginx
spec:
containers:
- image: nginx
name: nginx
resources:
requests:
cpu: "0.4"
limits:
cpu: "1"
restartPolicy: Always
kubectl apply -f nginx-pod.yaml
// verify
kubectl top pod

Answer: A

NEW QUESTION # 70
Create a Pod with three busy box containers with commands "ls; sleep 3600;", "echo Hello World; sleep 3600;" and "echo this is the third container; sleep 3600" respectively and check the status

A. // first create single container pod with dry run flag
kubectl run busybox --image=busybox --restart=Always --dry-run
-o yaml -- bin/sh -c "sleep 3600; ls" > multi-container.yaml
// edit the pod to following yaml and create it
apiVersion: v1
kind: Pod
metadata:
labels:
run: busybox
name: busybox
spec:
containers:
- args:
- bin/sh
- -c
- ls; sleep 3600
image: busybox
name: busybox-container-1
- args:
- bin/sh
- -c
- echo Hello world; sleep 3600
image: busybox
name: busybox-container-2
- args:
- bin/sh
- -c
- echo this is third container; sleep 3600
image: busybox
name: busybox-container-3
restartPolicy: Always
// Verify
Kubectl get pods
B. // first create single container pod with dry run flag
kubectl run busybox --image=busybox --restart=Always --dry-run
-o yaml -- bin/sh -c "sleep 3600; ls" > multi-container.yaml
// edit the pod to following yaml and create it
apiVersion: v1
kind: Pod
metadata:
labels:
run: busybox
name: busybox
spec:
containers:
- args:
- bin/sh
- -c
- ls; sleep 3600
- echo Hello world; sleep 3600
image: busybox
name: busybox-container-2
- args:
- bin/sh
- -c
- echo this is third container; sleep 3600
image: busybox
name: busybox-container-3
restartPolicy: Always
// Verify
Kubectl get pods

Answer: A

NEW QUESTION # 71
......

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