Linux Foundation Certified Kubernetes Application Developer : CKAD Exam

  • Exam Code: CKAD
  • Exam Name: Linux Foundation Certified Kubernetes Application Developer Exam
  • Updated: Oct 22, 2026
  • Q & A: 239 Questions and Answers

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About Linux Foundation Certified Kubernetes Application Developer : CKAD Exam Questions

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Exam Topics for CNCF Certified Kubernetes Application Developer

Our CNCF CKAD Dumps covers the following objectives of the CNCF Certified Kubernetes Application Developer Exam.

  • State Persistence 8%
  • Services & Networking 13%
  • Observability 18%
  • Pod Design 20%
  • Core Concepts 13%
  • Configuration 18%
  • Multi-Container Pods 10%

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What is the difference between Kubernetes and Docker?

Kubernetes is an orchestrator that works with Docker containers. The main components are similar to basic Docker containers. Not difficult to use, but you can't go deep into it. Dedicated to running Docker containers. You can run your software on it, but you can't change the core of Kubernetes. The advantage is that you can use everything as-is or integrate with different cloud providers. The reason for this is that Kubernetes is more focused on operations than Docker. Provides very good support for running multi-container orchestrations. It's easy to install and configure.

You can use it on any cloud provider or locally, and it runs on different operating systems, including Windows. Knowledge of Docker commands or installation is not required. You can use it as a service from DigitalOcean. Kubernetes provides better support for your application. Users can scale up and down your infrastructure according to their needs. You can also define what containers to run on the nodes, which is not the case for Docker. CNCF CKAD Dumps is a simple way to pass this exam. You can make use of it without knowing too much about Docker or Kubernetes. The Kubernetes from Google is fully open source and free for everyone, but you need to buy a license if you want to use it on public clouds.

In the contemporary world, skill of computer become increasingly important, or may be crucial, which is more and more relevant to a great many industries. Priorities are always given to skillful computer operators, no matter in employment or promotion. Linux Foundation Certified Kubernetes Application Developer Exam certificate makes you advanced and competitive to others. However, do you really have any idea how to prepare for the Linux Foundation exam well? Don't worry. Our mission is to assist you to pass the Linux Foundation Certified Kubernetes Application Developer Exam actual test.

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What is a pod?

It's the smallest Kubernetes entity, and it can't be divided. Described as a set of processes that share storage and network interfaces, and also share local volumes. Pseudo-device for communication between containers. Described as the smallest unit of work in Kubernetes. You can upgrade an entire pod, or an individual container. Describes the communication link used by containers to exchange information. Describes how to manage resources, typically storage and networking resources. Desktop applications. Kubernetes is a platform for creating, deploying, and managing containers. Check if your device is supported here. Described as a set of containers that are configured to work together. Scores high on market shares for container orchestration solutions. CNCF CKAD Dumps is a good choice if you want to pass the exam easily. Described as a set of applications that work together. It is the basic unit of coordination in Kubernetes. Manage containers and other resources.

Prepared by experts that have meticulously studied the latest exam questions. Yield to internal components such as Kubelet, Kube API Server, and Kube Scheduler. Hidden by the Pod. A node is responsible for scheduling resources in Kubernetes. It executes pods based on events generated by Kubernetes. The portal shows all the components of Kubernetes in your browser.

Reference: https://training.linuxfoundation.org/certification/certified-kubernetes-application-developer-ckad/

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Linux Foundation CKAD Exam Syllabus Topics:

SectionObjectives
Topic 1: Services and Networking- Pod networking concepts
- Ingress basics
- Services (ClusterIP, NodePort)
Topic 2: State Persistence- Storage classes and volume mounting
- PersistentVolumes and PersistentVolumeClaims
Topic 3: Application Observability and Maintenance- Monitor and troubleshoot applications
- Understand probes and health checks
Topic 4: Application Deployment- Use Kubernetes primitives to implement deployments
- Understand rolling updates and rollbacks
Topic 5: Application Design and Build- Understand multi-container Pod design patterns
- Define, build and modify container images
- Understand Jobs and CronJobs
Topic 6: Application Environment, Configuration and Security- Security contexts and service accounts
- ConfigMaps and Secrets usage

Linux Foundation Certified Kubernetes Application Developer Sample Questions:

Question #1

You need to configure a PodSecurityPolicy to restrict tne capabilities of pods running in your Kubernetes cluster. You want to create a policy that allows pods to use only specific capabilities and prevent them from accessing host resources.

Reveal Solution  Discussion  0

Correct Answer:

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a P0dSecurityP01icy:
- Create a PodSecurityPolicy YAML configuration file:

2. Apply the PodSecurityPolicy: - Apply the PodSecurityPolicy configuration to your Kubernetes cluster: basn kubectl apply -f restricted-pod-policy-yaml 3. Bind the Policy to ServiceAccount: - Create a RoleBinding or ClusterRoleBinding to bind the PodSecurityPolicy to a specific ServiceAccount or all users. - For example, to bind it to a ServiceAccount:

4. Test tne Policy: - Create a pod using the ServiceAccount that has the PodSecurityPolicy applied. - Verify that tne pod cannot access host resources or use unauthorized capabilities.

Question #2

Context
You are asked to allow a Pod to communicate with two other Pods but nothing else.
You must connect to the correct host . Failure to do so may result
in a zero score.
!
[candidate@base] $ ssh ckad000
18
charming-macaw namespace to use a NetworkPolicy allowing the Pod to send and receive traffic only to and from the Pods front and db.
All required NetworkPolicies have already been created.
You must not create, modify or delete any NetworkPolicy while working on this task. You may only use existing NetworkPolicies .

Reveal Solution  Discussion  0

Correct Answer:

See the Explanation below for complete solution.
Explanation:
ssh ckad00018
You cannot create/modify/delete any NetworkPolicy.
So the only way to make the existing policies "take effect" is to ensure the right Pods have the labels
/selectors those policies expect.
The task: in namespace charming-macaw, configure things so the target Pod can send + receive traffic ONLY to/from Pods front and db.
1) Inspect what NetworkPolicies already exist (don't change them)
kubectl -n charming-macaw get netpol
kubectl -n charming-macaw get netpol -o wide
Dump them to see the selectors they use:
kubectl -n charming-macaw get netpol -o yaml
You are looking for policies that:
* select the restricted pod via spec.podSelector
* and allow ingress/egress only with selectors that match front and db
* often there's also a "default deny" policy.
2) Identify the Pods and their current labels
kubectl -n charming-macaw get pods -o wide
kubectl -n charming-macaw get pods --show-labels
Specifically inspect labels for front and db:
kubectl -n charming-macaw get pod front --show-labels
kubectl -n charming-macaw get pod db --show-labels
(If they're Deployments instead of single Pods, do:)
kubectl -n charming-macaw get deploy --show-labels
kubectl -n charming-macaw get pods -l app=front --show-labels
kubectl -n charming-macaw get pods -l app=db --show-labels
3) Figure out which pod is "the Pod" to restrict
Usually there's a third pod (e.g., backend, api, app) besides front and db.
List pods again and identify the "other" one:
kubectl -n charming-macaw get pods
Let's assume the pod to restrict is called app (replace as needed):
TARGET=<pod-to-restrict>
4) Match the existing NetworkPolicy selectors by labeling pods (allowed) Because you can't edit NetworkPolicies, you must make labels on Pods (or their controllers) match the policies' selectors.
4.1 Determine the label required on the TARGET pod
From the YAML, find the policy that selects the restricted pod, e.g.:
spec:
podSelector:
matchLabels:
role: restricted
Extract podSelector from each policy quickly:
kubectl -n charming-macaw get netpol -o jsonpath='{range .items[*]}{.metadata.name}{" => "}{.spec.
podSelector}{"\n"}{end}'
Pick the selector that is meant for the restricted pod, then apply it to the TARGET pod (example:
role=restricted):
kubectl -n charming-macaw label pod $TARGET role=restricted --overwrite Best practice (if the pod is managed by a Deployment): label the Deployment template instead, so it persists.
Find the owner:
kubectl -n charming-macaw get pod $TARGET -o jsonpath='{.metadata.ownerReferences[0].kind}{" "}{.
metadata.ownerReferences[0].name}{"\n"}'
If it's a ReplicaSet, find its Deployment:
RS=$(kubectl -n charming-macaw get pod $TARGET -o jsonpath='{.metadata.ownerReferences[0].name}') kubectl -n charming-macaw get rs $RS -o jsonpath='{.metadata.ownerReferences[0].kind}{" "}{.metadata.
ownerReferences[0].name}{"\n"}'
Then label the Deployment (example):
kubectl -n charming-macaw label deploy <DEPLOYMENT_NAME> role=restricted --overwrite
4.2 Ensure front and db match what the allow-rules reference
Look inside the allow policy ingress.from / egress.to. You might see something like:
from:
- podSelector:
matchLabels:
name: front
- podSelector:
matchLabels:
name: db
So you must ensure:
* front pod has name=front
* db pod has name=db
Apply labels (examples-use what the policy expects):
kubectl -n charming-macaw label pod front name=front --overwrite
kubectl -n charming-macaw label pod db name=db --overwrite
Again, if they're Deployments, label the Deployment instead:
kubectl -n charming-macaw label deploy front name=front --overwrite
kubectl -n charming-macaw label deploy db name=db --overwrite
5) Verify the NetworkPolicies now "select" the right pods
Check which labels each pod has now:
kubectl -n charming-macaw get pods --show-labels
Confirm the restricted pod matches the NetPol podSelector:
kubectl -n charming-macaw get netpol <POLICY_NAME> -o jsonpath='{.spec.podSelector}{"\n"}' kubectl -n charming-macaw get pod $TARGET --show-labels
6) Functional verification (quick network tests)
Exec into the restricted pod and try to reach:
* front # allowed
* db # allowed
* anything else # blocked
If busybox has wget:
kubectl -n charming-macaw exec -it $TARGET -- sh -c 'wget
-qO- http://front 2
>/dev/null || true'
kubectl -n charming-macaw exec -it $TARGET -- sh -c 'wget
-qO- http://db 2
>/dev/null || true'
Test something that should be blocked (example: kubernetes service DNS name):
kubectl -n charming-macaw exec -it $TARGET -- sh -c 'wget -qO- https://kubernetes.default.svc 2>/dev/null
|| echo "blocked"'
Also test inbound (from front to target, and from db to target) if the target listens on a port; otherwise inbound testing may be limited.
What you're doing conceptually
* Existing NetPols are already correct.
* Your job is to make pod labels match the NetPol selectors so:
* default deny applies to the target
* allow rules apply only between target # front and target # db

Question #3


Set Configuration Context:
[student@node-1] $ | kubectl
Config use-context k8s
Context
A pod is running on the cluster but it is not responding.
Task
The desired behavior is to have Kubemetes restart the pod when an endpoint returns an HTTP 500 on the
/healthz endpoint. The service, probe-pod, should never send traffic to the pod while it is failing. Please complete the following:
* The application has an endpoint, /started, that will indicate if it can accept traffic by returning an HTTP 200.
If the endpoint returns an HTTP 500, the application has not yet finished initialization.
* The application has another endpoint /healthz that will indicate if the application is still working as expected by returning an HTTP 200. If the endpoint returns an HTTP 500 the application is no longer responsive.
* Configure the probe-pod pod provided to use these endpoints
* The probes should use port 8080

Reveal Solution  Discussion  0

Correct Answer:

See the solution below.
Explanation:
Solution:
To have Kubernetes automatically restart a pod when an endpoint returns an HTTP 500 on the /healthz endpoint, you will need to configure liveness and readiness probes on the pod.
First, you will need to create a livenessProbe and a readinessProbe in the pod's definition yaml file. The livenessProbe will check the /healthz endpoint, and if it returns an HTTP 500, the pod will be restarted. The readinessProbe will check the /started endpoint, and if it returns an HTTP 500, the pod will not receive traffic.
Here's an example of how you can configure the liveness and readiness probes in the pod definition yaml file:
apiVersion: v1
kind: Pod
metadata:
name: probe-pod
spec:
containers:
- name: probe-pod
image: <image-name>
ports:
- containerPort: 8080
livenessProbe:
httpGet:
path: /healthz
port: 8080
initialDelaySeconds: 15
periodSeconds: 10
failureThreshold: 3
readinessProbe:
httpGet:
path: /started
port: 8080
initialDelaySeconds: 15
periodSeconds: 10
failureThreshold: 3
The httpGet specifies the endpoint to check and the port to use. The initialDelaySeconds is the amount of time the pod will wait before starting the probe. periodSeconds is the amount of time between each probe check, and the failureThreshold is the number of failed probes before the pod is considered unresponsive.
You can use kubectl to create the pod by running the following command:
kubectl apply -f <filename>.yaml
Once the pod is created, Kubernetes will start monitoring it using the configured liveness and readiness probes. If the /healthz endpoint returns an HTTP 500, the pod will be restarted. If the /started endpoint returns an HTTP 500, the pod will not receive traffic.
Please note that if the failure threshold is set to 3, it means that if the probe fails 3 times consecutively it will be considered as a failure.
The above configuration assumes that the application is running on port 8080 and the endpoints are available on the same port.

Question #4

You are running a Deployment for a database service with 3 replicas. You want to ensure that only one pod is updated at a time, but you need to guarantee that the database service remains available throughout tne update process. How would you configure the Deployment to achieve this?

Reveal Solution  Discussion  0

Correct Answer:

See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAMLI
- Update the 'replicas' to 3.
- Define 'maxiJnavailable: 1 ' and 'maxSurge: O' in the 'strategy-rollingupdate' section to control the rolling update process.
- Use a 'readiness probe' within your container definition to ensure that the pod is considered ready only when tne database is successfully started and connected.
- Configure a 'strategy-type' to 'RollingUpdate' to trigger a rolling update when the deployment is updated.

2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f database-deployment-yamp 3. Verify the Deployment - Check the status of the deployment using 'kubectl get deployments database-deployment to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Pusn a new image to the Docker Hub repository. 5. Monitor the Deployment - Use 'kubectl get pods -l to monitor the pod updates during the rolling update process. You will observe that only one pod is terminated at a time. The readiness probe will ensure that a new pod is only considered ready when it's successfully connected to the database. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment database-deployment to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.,

Question #5

Context
You are asked to scale an existing application and expose it within your infrastructure.

First, update the Deployment nginx-deployment in the prod
namespace :
. to run 2 replicas of the Pod
. add the following label to the Pod :
role: webFrontEnd
Next, create a NodePort Service named rover in the prod namespace exposing the nginx-deployment Deployment 's Pods See the Explanation below for complete solution.

Reveal Solution  Discussion  0

Correct Answer:

Below is an exam-style, step-by-step solution (commands + verification). Follow exactly on host ckad000.
0) Connect to the right host
ssh ckad000
(Optional but good sanity check)
kubectl config current-context
kubectl get ns
1) Inspect the existing Deployment (to know its labels/ports)
kubectl -n prod get deploy nginx-deployment
kubectl -n prod get deploy nginx-deployment -o wide
Check what labels the Pod template already has (important for the Service selector):
kubectl -n prod get deploy nginx-deployment -o jsonpath='{.spec.template.metadata.labels}{"\n"}' Check container ports (so we expose the correct targetPort):
kubectl -n prod get deploy nginx-deployment -o jsonpath='{.spec.template.spec.containers[0].ports}{"\n"}' If ports output is empty, it's still often nginx on 80, but the safest is to confirm by describing a pod later.
2) Update Deployment to 2 replicas
Fastest:
kubectl -n prod scale deploy nginx-deployment --replicas=2
Verify:
kubectl -n prod get deploy nginx-deployment
3) Add label role=webFrontEnd to the Pod (Pod template label)
You must add it under:
spec.template.metadata.labels
Use a patch (quick + safe):
kubectl -n prod patch deploy nginx-deployment \
-p '{"spec":{"template":{"metadata":{"labels":{"role":"webFrontEnd"}}}}}' Verify the Deployment template now includes it:
kubectl -n prod get deploy nginx-deployment -o jsonpath='{.spec.template.metadata.labels}{"\n"}' Now verify the running Pods have the label (important!):
kubectl -n prod get pods --show-labels
If the label doesn't show on pods immediately, wait for rollout:
kubectl -n prod rollout status deploy nginx-deployment
kubectl -n prod get pods --show-labels
4) Create a NodePort Service rover exposing the Deployment's Pods
4.1 Get a reliable target port
Try to read containerPort:
kubectl -n prod get deploy nginx-deployment -o jsonpath='{.spec.template.spec.containers[0].ports[0].
containerPort}{"\n"}'
* If this prints a number (commonly 80), use it as --target-port.
* If it prints nothing/empty, check a pod:
POD=$(kubectl -n prod get pod -l role=webFrontEnd -o jsonpath='{.items[0].metadata.name}') kubectl -n prod describe pod "$POD" | sed -n '/Containers:/,/Conditions:/p' | sed -n '/Ports:/,/Environment:/p' Assuming nginx is on 80 (most common), create the service:
kubectl -n prod expose deploy nginx-deployment \
--name=rover \
--type=NodePort \
--port=80 \
--target-port=80
If your nginx container port is different (e.g., 8080), change --target-port=8080 accordingly.
5) Verify Service + endpoints (critical)
kubectl -n prod get svc rover -o wide
kubectl -n prod describe svc rover
kubectl -n prod get endpoints rover -o wide
You should see 2 endpoints (matching 2 pods).
Also confirm the pods are Ready:
kubectl -n prod get pods -l role=webFrontEnd -o wide
Quick "CKAD checkpoints"
* Deployment in prod has replicas=2
* Pod template has label role=webFrontEnd
* Service rover in prod is NodePort
* Service endpoints point to the nginx pods

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