Free CKAD mock test

Free CKAD Practice Exam 1 | Kubernetes Application Developer Mock Test

Practice real CKAD-style questions before you book the exam.

This free CKAD practice exam helps you test your Kubernetes application development skills with scenario-based questions, instant feedback, and answer explanations. Use it to measure readiness, spot weak areas, and build confidence before the Certified Kubernetes Application Developer exam.

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Start the practice exam below, answer every question honestly, and use the explanations to decide what to study next. Revisit the test whenever you want to sharpen weaker topics and track improvement.

CKAD EXAM 1

1 / 10

Question:
You need to create a pod for a web application that uses Redis as a cache with specific requirements. The pod must meet the following criteria:

It must run in the web namespace (already created).
The pod should have the name cache.
Use the ifccncf/redis image with the 3.2 tag.
The pod must expose port 6379.

Which of the following commands will correctly create the pod with the specified configuration?

kubectl run cache --image=ifccncf/redis:3.2 --namespace=web --port=6379

kubectl create deployment cache --image=ifccncf/redis:3.2 --namespace=web --port=6379

kubectl run cache --image=ifccncf/redis:3.2 --namespace=web --restart=Never --port=6379

kubectl create pod cache --image=ifccncf/redis:3.2 --namespace=web --port=6379

2 / 10

Question:
You are tasked with preparing a Canary deployment for testing a new application release in a Kubernetes environment. Given that a service named krill-Service in the goshark namespace currently points to 5 pods created by the deployment current-krill-deployment, how can you create and configure a new deployment to meet the following requirements:

An identical deployment named canary-krill-deployment should be created in the same namespace.
The deployment should ensure a maximum of 10 pods are running in total within the namespace.
40% of the traffic to krill-Service should route to the new canary deployment pods.

Which of the following configurations satisfies the requirements?

current-krill-deployment should have 5 replicas, and canary-krill-deployment should have 5 replicas, with the service routing 40% of traffic to the canary deployment.

current-krill-deployment should have 6 replicas, and canary-krill-deployment should have 4 replicas, with the service routing 40% of traffic to the canary deployment.

current-krill-deployment should have 7 replicas, and canary-krill-deployment should have 3 replicas, with the service routing 40% of traffic to the canary deployment.

current-krill-deployment should have 6 replicas, and canary-krill-deployment should have 4 replicas, with the service routing 40% of traffic to the canary deployment.

3 / 10

Question:

You are tasked with creating a pod named nginx-resources in an existing namespace called resources. The pod must meet the following specifications:

It should use the nginx:stable container image.
A resource request of 300m CPUs and 1Gi memory should be specified for the pod's container.
The pod should be created as a standalone pod, not as a deployment.

Which of the following commands correctly satisfies all the requirements?

kubectl run nginx-resources --image=nginx:stable --namespace=resources --restart=Always --requests=cpu=300m,memory=1Gi

kubectl create deployment nginx-resources --image=nginx:stable --namespace=resources --replicas=1 --resources=cpu=300m,memory=1Gi

kubectl run nginx-resources --image=nginx:stable --namespace=resources --restart=Never --requests=cpu=300m,memory=1Gi

kubectl create pod nginx-resources --image=nginx:stable --namespace=resources --requests=cpu=300m,memory=1Gi

4 / 10

Question:

You are tasked with deploying a web application with specific constraints in the Kubernetes cluster. The web application must meet the following requirements:

A deployment should be created with the name web-app-deployment in the namespace production.
The deployment should use the httpd:2.4 container image.
The deployment should have 3 replicas running.
The application should expose port 80.
Resource requests must be 200m CPU and 512Mi memory.
You must create the deployment so it can be scaled and managed reliably.

Which of the following options meets all these requirements?

 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: web-app-deployment
   namespace: production
 spec:
   replicas: 3
   selector:
     matchLabels:
       app: web-app
   template:
     metadata:
       labels:
         app: web-app
     spec:
       containers:
       - name: httpd
         image: httpd:2.4
         ports:
         - containerPort: 80
         resources:
           requests:
             cpu: 200m
             memory: 512Mi

 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: web-app-deployment
   namespace: production
 spec:
   replicas: 3
   selector:
     matchLabels:
       app: web-app
   template:
     metadata:
       labels:
         app: web-app
     spec:
       containers:
       - name: httpd
         image: httpd:2.4
         ports:
         - containerPort: 80
         resources:
           limits:
             cpu: 200m
             memory: 512Mi

 kubectl create deployment web-app-deployment --image=httpd:2.4 --namespace=production --replicas=3 --port=80 --requests=cpu=200m,memory=512Mi

 kubectl run web-app-deployment --image=httpd:2.4 --namespace=production --restart=Always --port=80 --requests=cpu=200m,memory=512Mi

5 / 10

Question:

You are tasked with exposing two applications in a Kubernetes cluster using Ingress rules. The requirements are as follows:

App 1 should be exposed at /app1 on the domain example.com.
App 2 should be exposed at /app2 on the same domain example.com.
Both applications should be accessible over HTTP.
Both apps are running in the default namespace, with the following services:
- App 1 is exposed by a service named app1-service.
- App 2 is exposed by a service named app2-service.

Which of the following Ingress configurations satisfies these requirements?

 apiVersion: networking.k8s.io/v1
 kind: Ingress
 metadata:
   name: app-ingress
   namespace: default
 spec:
   rules:
   - host: example.com
     http:
       paths:
       - path: /app1
         pathType: Prefix
         backend:
           service:
             name: app1-service
             port:
               number: 80
       - path: /app2
         pathType: Prefix
         backend:
           service:
             name: app2-service
             port:
               number: 80

 apiVersion: networking.k8s.io/v1
 kind: Ingress
 metadata:
   name: app-ingress
   namespace: default
 spec:
   rules:
   - host: example.com
     http:
       paths:
       - path: /app1
         pathType: ImplementationSpecific
         backend:
           service:
             name: app1-service
             port:
               number: 8080
       - path: /app2
         pathType: ImplementationSpecific
         backend:
           service:
             name: app2-service
             port:
               number: 80

 apiVersion: networking.k8s.io/v1
 kind: Ingress
 metadata:
   name: app-ingress
   namespace: default
 spec:
   rules:
   - host: example.com
     http:
       paths:
       - path: /app1
         pathType: Prefix
         backend:
           service:
             name: app1-service
             port:
               number: 80
       - path: /app1
         pathType: Prefix
         backend:
           service:
             name: app2-service
             port:
               number: 80

 apiVersion: networking.k8s.io/v1
 kind: Ingress
 metadata:
   name: app-ingress
   namespace: default
 spec:
   rules:
   - host: example.com
     http:
       paths:
       - path: /app1
         pathType: Exact
         backend:
           service:
             name: app1-service
             port:
               number: 80
       - path: /app2
         pathType: Exact
         backend:
           service:
             name: app2-service
             port:
               number: 80

6 / 10

Question:

You are tasked with configuring persistent storage for a database running on Kubernetes. The requirements are as follows:

Use a Persistent Volume (PV) of 5Gi with access mode ReadWriteOnce.
The Persistent Volume Claim (PVC) should request 5Gi of storage, also with access mode ReadWriteOnce.
The database pod should use the PVC for storage.
The pod should mount the storage to /data inside the container.

Which of the following YAML configurations satisfies these requirements?

 apiVersion: v1
 kind: PersistentVolume
 metadata:
   name: db-pv
 spec:
   capacity:
     storage: 5Gi
   accessModes:
     - ReadWriteOnce
   hostPath:
     path: /mnt/data
 --- apiVersion: v1
 kind: PersistentVolumeClaim
 metadata:
   name: db-pvc
 spec:
   resources:
     requests:
       storage: 5Gi
   accessModes:
     - ReadWriteOnce
 --- apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: db-deployment
 spec:
   replicas: 1
   selector:
     matchLabels:
       app: db
   template:
     metadata:
       labels:
         app: db
     spec:
       containers:
       - name: database
         image: mysql:5.7
         volumeMounts:
         - name: db-storage
           mountPath: /data
       volumes:
       - name: db-storage
         persistentVolumeClaim:
           claimName: db-pvc

 apiVersion: v1
 kind: PersistentVolume
 metadata:
   name: db-pv
 spec:
   capacity:
     storage: 5Gi
   accessModes:
     - ReadWriteMany
   hostPath:
     path: /mnt/data
 --- apiVersion: v1
 kind: PersistentVolumeClaim
 metadata:
   name: db-pvc
 spec:
   resources:
     requests:
       storage: 5Gi
   accessModes:
     - ReadWriteOnce
 --- apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: db-deployment
 spec:
   replicas: 1
   selector:
     matchLabels:
       app: db
   template:
     metadata:
       labels:
         app: db
     spec:
       containers:
       - name: database
         image: mysql:5.7
         volumeMounts:
         - name: db-storage
           mountPath: /data
       volumes:
       - name: db-storage
         persistentVolumeClaim:
           claimName: db-pvc

 apiVersion: v1
 kind: PersistentVolume
 metadata:
   name: db-pv
 spec:
   capacity:
     storage: 10Gi
   accessModes:
     - ReadWriteOnce
   hostPath:
     path: /mnt/data
 --- apiVersion: v1
 kind: PersistentVolumeClaim
 metadata:
   name: db-pvc
 spec:
   resources:
     requests:
       storage: 5Gi
   accessModes:
     - ReadWriteOnce
 --- apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: db-deployment
 spec:
   replicas: 1
   selector:
     matchLabels:
       app: db
   template:
     metadata:
       labels:
         app: db
     spec:
       containers:
       - name: database
         image: mysql:5.7
         volumeMounts:
         - name: db-storage
           mountPath: /data
       volumes:
       - name: db-storage
         persistentVolumeClaim:
           claimName: db-pvc

 apiVersion: v1
 kind: PersistentVolume
 metadata:
   name: db-pv
 spec:
   capacity:
     storage: 5Gi
   accessModes:
     - ReadWriteOnce
   nfs:
     path: /mnt/data
     server: nfs-server.example.com
 --- apiVersion: v1
 kind: PersistentVolumeClaim
 metadata:
   name: db-pvc
 spec:
   resources:
     requests:
       storage: 5Gi
   accessModes:
     - ReadWriteOnce
 --- apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: db-deployment
 spec:
   replicas: 1
   selector:
     matchLabels:
       app: db
   template:
     metadata:
       labels:
         app: db
     spec:
       containers:
       - name: database
         image: mysql:5.7
         volumeMounts:
         - name: db-storage
           mountPath: /data
       volumes:
       - name: db-storage
         persistentVolumeClaim:
           claimName: db-pvc

7 / 10

Question:

You are tasked with setting up a Kubernetes environment for a web application with two components:

Frontend: A web server that needs to be exposed externally to users.
Backend: A database service that should only be accessible by the frontend pods and not exposed externally.

You need to:

Create a Deployment for the frontend using the nginx container with 3 replicas, running on port 80.
Create a Service to expose the frontend deployment to external traffic on port 8080.
Create a Deployment for the backend using the mysql:5.7 container with 2 replicas, running on port 3306.
Create a Service for the backend that only allows internal communication between the frontend and backend. The backend service should not be exposed externally.

Which of the following YAML configurations satisfies these requirements?

 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: frontend-deployment
   namespace: default
 spec:
   replicas: 3
   selector:
     matchLabels:
       app: frontend
   template:
     metadata:
       labels:
         app: frontend
     spec:
       containers:
       - name: nginx
         image: nginx:latest
         ports:
         - containerPort: 80
 --- apiVersion: v1
 kind: Service
 metadata:
   name: frontend-service
   namespace: default
 spec:
   selector:
     app: frontend
   ports:
     - port: 8080
       targetPort: 80
   type: LoadBalancer
 --- apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: backend-deployment
   namespace: default
 spec:
   replicas: 2
   selector:
     matchLabels:
       app: backend
   template:
     metadata:
       labels:
         app: backend
     spec:
       containers:
       - name: mysql
         image: mysql:5.7
         ports:
         - containerPort: 3306
         env:
         - name: MYSQL_ROOT_PASSWORD
           value: password
 --- apiVersion: v1
 kind: Service
 metadata:
   name: backend-service
   namespace: default
 spec:
   selector:
     app: backend
   ports:
     - port: 3306
       targetPort: 3306
   clusterIP: None

 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: frontend-deployment
   namespace: default
 spec:
   replicas: 3
   selector:
     matchLabels:
       app: frontend
   template:
     metadata:
       labels:
         app: frontend
     spec:
       containers:
       - name: nginx
         image: nginx:latest
         ports:
         - containerPort: 80
 --- apiVersion: v1
 kind: Service
 metadata:
   name: frontend-service
   namespace: default
 spec:
   selector:
     app: frontend
   ports:
     - port: 8080
       targetPort: 80
   type: ClusterIP
 --- apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: backend-deployment
   namespace: default
 spec:
   replicas: 2
   selector:
     matchLabels:
       app: backend
   template:
     metadata:
       labels:
         app: backend
     spec:
       containers:
       - name: mysql
         image: mysql:5.7
         ports:
         - containerPort: 3306
         env:
         - name: MYSQL_ROOT_PASSWORD
           value: password
 --- apiVersion: v1
 kind: Service
 metadata:
   name: backend-service
   namespace: default
 spec:
   selector:
     app: backend
   ports:
     - port: 3306
       targetPort: 3306
   type: ClusterIP

 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: frontend-deployment
   namespace: default
 spec:
   replicas: 3
   selector:
     matchLabels:
       app: frontend
   template:
     metadata:
       labels:
         app: frontend
     spec:
       containers:
       - name: nginx
         image: nginx:latest
         ports:
         - containerPort: 80
 --- apiVersion: v1
 kind: Service
 metadata:
   name: frontend-service
   namespace: default
 spec:
   selector:
     app: frontend
   ports:
     - port: 8080
       targetPort: 80
   clusterIP: None
 --- apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: backend-deployment
   namespace: default
 spec:
   replicas: 2
   selector:
     matchLabels:
       app: backend
   template:
     metadata:
       labels:
         app: backend
     spec:
       containers:
       - name: mysql
         image: mysql:5.7
         ports:
         - containerPort: 3306
         env:
         - name: MYSQL_ROOT_PASSWORD
           value: password
 --- apiVersion: v1
 kind: Service
 metadata:
   name: backend-service
   namespace: default
 spec:
   selector:
     app: backend
   ports:
     - port: 3306
       targetPort: 3306
   type: ClusterIP

 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: frontend-deployment
   namespace: default
 spec:
   replicas: 3
   selector:
     matchLabels:
       app: frontend
   template:
     metadata:
       labels:
         app: frontend
     spec:
       containers:
       - name: nginx
         image: nginx:latest
         ports:
         - containerPort: 80
 --- apiVersion: v1
 kind: Service
 metadata:
   name: frontend-service
   namespace: default
 spec:
   selector:
     app: frontend
   ports:
     - port: 8080
       targetPort: 80
   clusterIP: None
 --- apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: backend-deployment
   namespace: default
 spec:
   replicas: 2
   selector:
     matchLabels:
       app: backend
   template:
     metadata:
       labels:
         app: backend
     spec:
       containers:
       - name: mysql
         image: mysql:5.7
         ports:
         - containerPort: 3306
         env:
         - name: MYSQL_ROOT_PASSWORD
           value: password
 --- apiVersion: v1
 kind: Service
 metadata:
   name: backend-service
   namespace: default
 spec:
   selector:
     app: backend
   ports:
     - port: 3306
       targetPort: 3306
   type: LoadBalancer

8 / 10

Question:

You need to configure resource limits for a deployment running a simple nginx container. The deployment should meet the following requirements:

Run in the default namespace.
Use the nginx:latest image.
Have 3 replicas.
Set a CPU limit of 500m and a memory limit of 512Mi for the container.
Expose port 80 for the container.

Which of the following YAML configurations meets all these requirements?

 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: nginx-deployment
   namespace: default
 spec:
   replicas: 3
   selector:
     matchLabels:
       app: nginx
   template:
     metadata:
       labels:
         app: nginx
     spec:
       containers:
       - name: nginx
         image: nginx:latest
         ports:
         - containerPort: 80
         resources:
           limits:
             cpu: 500m
             memory: 512Mi

 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: nginx-deployment
   namespace: default
 spec:
   replicas: 3
   selector:
     matchLabels:
       app: nginx
   template:
     metadata:
       labels:
         app: nginx
     spec:
       containers:
       - name: nginx
         image: nginx:latest
         ports:
         - containerPort: 80
         resources:
           requests:
             cpu: 500m
             memory: 512Mi

 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: nginx-deployment
   namespace: default
 spec:
   replicas: 3
   selector:
     matchLabels:
       app: nginx
   template:
     metadata:
       labels:
         app: nginx
     spec:
       containers:
       - name: nginx
         image: nginx:latest
         ports:
         - containerPort: 80
         resources:
           limits:
             cpu: 500m
             memory: 512Mi
           requests:
             cpu: 250m
             memory: 256Mi

 apiVersion: apps/v1
 kind: Deployment
 metadata:
   name: nginx-deployment
   namespace: default
 spec:
   replicas: 3
   selector:
     matchLabels:
       app: nginx
   template:
     metadata:
       labels:
         app: nginx
     spec:
       containers:
       - name: nginx
         image: nginx:latest
         ports:
         - containerPort: 80
         resources:
           limits:
             cpu: 1000m
             memory: 1Gi

9 / 10

Question:

You are tasked with creating a Pod for a simple web application that uses the nginx:latest container image. The pod should:

Run in the development namespace.
Have the pod name as nginx-pod.
Expose port 80.
Ensure that the container uses the nginx:latest image.

Which of the following commands will correctly create this pod?

 kubectl run nginx-pod --image=nginx:latest --namespace=development --port=80

 kubectl create pod nginx-pod --image=nginx:latest --namespace=development --port=80

 kubectl run nginx-pod --image=nginx:latest --namespace=development --expose --port=80

 kubectl create pod nginx-pod --image=nginx:latest --namespace=development

10 / 10

Question:

You are tasked with deploying a stateful application in Kubernetes to run a database with persistent storage. The database should meet the following requirements:

The database must be deployed in the production namespace.
The deployment should use the container image mysql:5.7 with the tag latest.
A StatefulSet should be used to ensure that pods maintain unique identities and persistent storage.
The application must have 3 replicas.
Each pod must have a persistent volume attached with a size of 2Gi and should be dynamically provisioned using a storage class called fast-storage.
The volumeClaimTemplates should be used to ensure that each pod gets its own persistent volume.
The pods should be exposed internally within the cluster using a headless service (no load balancing), and the service should have the same name as the StatefulSet.

Which of the following options correctly satisfies these requirements?

 apiVersion: apps/v1
 kind: StatefulSet
 metadata:
   name: mysql-statefulset
   namespace: production
 spec:
   replicas: 3
   serviceName: mysql-statefulset
   selector:
     matchLabels:
       app: mysql
   template:
     metadata:
       labels:
         app: mysql
     spec:
       containers:
       - name: mysql
         image: mysql:5.7
         ports:
         - containerPort: 3306
         env:
         - name: MYSQL_ROOT_PASSWORD
           value: password
       volumeMounts:
       - name: mysql-storage
         mountPath: /var/lib/mysql
   volumeClaimTemplates:
     - metadata:
         name: mysql-storage
       spec:
         accessModes: [ "ReadWriteOnce" ]
         resources:
           requests:
             storage: 2Gi
         storageClassName: fast-storage

 apiVersion: apps/v1
 kind: StatefulSet
 metadata:
   name: mysql-statefulset
   namespace: production
 spec:
   replicas: 3
   serviceName: mysql-statefulset
   selector:
     matchLabels:
       app: mysql
   template:
     metadata:
       labels:
         app: mysql
     spec:
       containers:
       - name: mysql
         image: mysql:5.7
         ports:
         - containerPort: 3306
         env:
         - name: MYSQL_ROOT_PASSWORD
           value: password
         volumeMounts:
         - name: mysql-storage
           mountPath: /var/lib/mysql
   volumeClaimTemplates:
     - metadata:
         name: mysql-storage
       spec:
         accessModes: [ "ReadWriteMany" ]
         resources:
           requests:
             storage: 2Gi
         storageClassName: fast-storage

 apiVersion: apps/v1
 kind: StatefulSet
 metadata:
   name: mysql-statefulset
   namespace: production
 spec:
   replicas: 3
   serviceName: mysql-headless-service
   selector:
     matchLabels:
       app: mysql
   template:
     metadata:
       labels:
         app: mysql
     spec:
       containers:
       - name: mysql
         image: mysql:5.7
         ports:
         - containerPort: 3306
         env:
         - name: MYSQL_ROOT_PASSWORD
           value: password
         volumeMounts:
         - name: mysql-storage
           mountPath: /var/lib/mysql
   volumeClaimTemplates:
     - metadata:
         name: mysql-storage
       spec:
         accessModes: [ "ReadWriteOnce" ]
         resources:
           requests:
             storage: 2Gi
         storageClassName: fast-storage
 --- apiVersion: v1
 kind: Service
 metadata:
   name: mysql-headless-service
   namespace: production
 spec:
   ports:
   - port: 3306
   clusterIP: None
   selector:
     app: mysql

 apiVersion: apps/v1
 kind: StatefulSet
 metadata:
   name: mysql-statefulset
   namespace: production
 spec:
   replicas: 3
   serviceName: mysql-statefulset
   selector:
     matchLabels:
       app: mysql
   template:
     metadata:
       labels:
         app: mysql
     spec:
       containers:
       - name: mysql
         image: mysql:latest
         ports:
         - containerPort: 3306
         env:
         - name: MYSQL_ROOT_PASSWORD
           value: password
         volumeMounts:
         - name: mysql-storage
           mountPath: /var/lib/mysql
   volumeClaimTemplates:
     - metadata:
         name: mysql-storage
       spec:
         accessModes: [ "ReadWriteOnce" ]
         resources:
           requests:
             storage: 2Gi
         storageClassName: fast-storage

Your score is

The average score is 41%

What this free exam covers

Pods, deployments, and rolling updates
ConfigMaps, Secrets, and environment variables
Services, Ingress, and application exposure
Volumes, persistence, and storage basics
Troubleshooting common Kubernetes workload issues
YAML accuracy and kubectl task thinking

Who should take this exam

Best for engineers preparing for the Certified Kubernetes Application Developer exam, Kubernetes beginners who want hands-on practice, and working DevOps engineers reviewing application-level Kubernetes tasks.

Continue to CKAD Practice Exam 2 Browse more Kubernetes exam practice

How to get more value from this mock test

Take your first attempt without notes so your score reflects real exam readiness.
Review every explanation, not just the questions you missed.
Group mistakes into topics, then study those topics before retaking the test.
Use repeated practice to improve speed, confidence, and pattern recognition.

Why free practice exams matter

Free exam prep lowers the barrier for learners who want to improve without paying for every mock test. That makes these pages more useful, more shareable, and more likely to attract returning visitors who are actively preparing for certification.

FAQ

Is this CKAD practice exam free?

Yes. This mock test is free to use, and you can retake it whenever you want to review Kubernetes application development topics.

How should I use this CKAD mock test?

Take the quiz once without looking anything up, review every explanation carefully, then revisit the Kubernetes topics that caused mistakes before trying again.

Does this replace the real CKAD exam?

No. It is a free practice resource designed to improve readiness, but the official exam remains hands-on and should still be supported with broader study and lab work.

Practice real CKAD-style questions before you book the exam.

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Correct Answer: A

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Correct Answer: A

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Correct Answer: A

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Why Other Options Are Incorrect:

Correct Answer: A

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Correct Answer: A

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Correct Answer: A

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Correct Answer: B

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Why Other Options Are Incorrect:

Correct Answer: B

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Correct Answer: C

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Correct Answer: C

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Correct Answer: C

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Correct Answer: C

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What this free exam covers

Who should take this exam

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FAQ

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Does this replace the real CKAD exam?

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