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| Section | Objectives |
|---|---|
| Topic 1: Application Observability and Maintenance | - Understand probes and health checks - Monitor and troubleshoot applications |
| Topic 2: Application Environment, Configuration and Security | - ConfigMaps and Secrets usage - Security contexts and service accounts |
| Topic 3: State Persistence | - Storage classes and volume mounting - PersistentVolumes and PersistentVolumeClaims |
| Topic 4: Application Deployment | - Understand rolling updates and rollbacks - Use Kubernetes primitives to implement deployments |
| Topic 5: Application Design and Build | - Define, build and modify container images - Understand Jobs and CronJobs - Understand multi-container Pod design patterns |
| Topic 6: Services and Networking | - Pod networking concepts - Ingress basics - Services (ClusterIP, NodePort) |
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NEW QUESTION # 162
You are working on a Kubernetes application that requires a scheduled job to run a data processing script every day at midnight. The script takes approximately 30 minutes to complete and requires access to a persistent volume to store its output dat a. How would you create a Job resource that meets these requirements?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a Persistent Volume Claim:
- Define a Persistent Volume Claim (PVC) to request the necessary storage space.
- Specify the access mode and storage class according to your cluster configuration.
2. Define the Job Resource: - Create a Job resource With a 'cronJob' schedule to trigger the execution at midnight every day. - Specify the 'backoffLimit' to control the number of retries in case of failures. - Define the 'spec-template.spec.containers' section for the container running the data processing script. - Mount the PVC to the container using 'volumeMounts'.
3. Create the Job: - Apply the Job YAML file using 'kubectl apply -f data-processing-job.yamr 4. Verify Job Execution: - Use 'kubectl get jobS to monitor the status of the Job. - Check the 'status. completionTime' to verify that the Job completed successfully. - Verity that the output data is stored in the mounted persistent volume. 5. Update the Script - Update the 'your-data-processing-script.sh" with the necessary commands to process the data and store the output in the "ldata' directory. 6. Monitor the Job: - Continuously monitor the Job's status and logs using 'kubectl logs' to ensure it runs correctly. Note: Replace 'your-image-namelatest and 'your-data-processing-scriptsh' with the actual image name and script file respectively,
NEW QUESTION # 163
You are deploying a microservice application that requires secure access to an external database. The database credentials are stored as environment variables Within the application container. You want to create a Kubernetes secret that securely stores these credentials and can be mounted as a file in the container.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Kubernetes Secret:
- Create a YAML file, for example, 'database-secret.yamr , with the following content:
- Replace ". ". ". and with the actual values, Base64 encoded. You can use the 'base64' command to encode the values: bash echo "your _ username" | base64 echo 'Your_password" | base64 echo "your _ host" | base64 echo "your _ port" | base64 2. Apply the Secret: - Apply the secret to your Kubernetes cluster: bash kubectl apply -f database-secret.yaml 3. Modify the Deployment: - Modify your Deployment YAML file to mount the secret as a file:
4. Apply the Updated Deployment: - Apply the updated Deployment YAML file using: bash kubectl apply -f my-microservice-deployment.yaml 5. Accessing Credentials: - The application container can now access the environment variables from the secret using 'process-env-DATABASE USER , 'process.env.DATABASE_PASSWORD', etc. Additionally, the secret data is mounted as a file at '/var/secrets/database'.
NEW QUESTION # 164
Context
Task:
Create a Pod named nginx resources in the existing pod resources namespace.
Specify a single container using nginx:stable image.
Specify a resource request of 300m cpus and 1G1 of memory for the Pod's container.
Answer:
Explanation:
Solution:
NEW QUESTION # 165
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh ckad00021
Task
Create a Cronjob named grep that executes a Pod running the following single container:
name: busybox
image: busybox:stable
command: ["grep", "-i", "nameserv
er", "/etc/resolv.conf"]
Configure the CronJob to:
* execute Once every 30 minutes
* keep 96 completed Job
* keep 192 failed Job
* never restart podsterminate pods after 8 seconds
Manually create and execute once job
named grep-test from the grep Cronjob
Answer:
Explanation:
See the Explanation below for complete solution.
Explanation:
ssh ckad00021
Below is the clean, CKAD-friendly way (YAML + apply + verify + manual job).
1) Create the CronJob grep
Create a file (anywhere, e.g. in your home):
cat <<'EOF' > grep-cronjob.yaml
apiVersion: batch/v1
kind: CronJob
metadata:
name: grep
spec:
schedule: "*/30 * * * *"
successfulJobsHistoryLimit: 96
failedJobsHistoryLimit: 192
jobTemplate:
spec:
activeDeadlineSeconds: 8
template:
spec:
restartPolicy: Never
containers:
- name: busybox
image: busybox:stable
command: ["grep", "-i", "nameserver", "/etc/resolv.conf"]
EOF
Apply it:
kubectl apply -f grep-cronjob.yaml
Verify:
kubectl get cronjob grep
kubectl describe cronjob grep
Confirm the key fields quickly:
kubectl get cronjob grep -o jsonpath='{.spec.schedule}{"\n"}{.spec.successfulJobsHistoryLimit}{"\n"}{.spec.
failedJobsHistoryLimit}{"\n"}'
kubectl get cronjob grep -o jsonpath='{.spec.jobTemplate.spec.activeDeadlineSeconds}{"\n"}{.spec.
jobTemplate.spec.template.spec.restartPolicy}{"\n"}'
2) Manually create and execute the one-off Job grep-test from the CronJob Create the Job from the CronJob:
kubectl create job --from=cronjob/grep grep-test
Watch it:
kubectl get jobs grep-test
kubectl get pods -l job-name=grep-test
Get logs (most important proof):
POD=$(kubectl get pods -l job-name=grep-test -o jsonpath='{.items[0].metadata.name}') kubectl logs "$POD" You should see one or more nameserver ... lines from /etc/resolv.conf.
NEW QUESTION # 166
You are developing a new microservice that requires access to a database deployed in a different namespace. You want to configure a ServiceAccount and RoleBinding to provide the necessary permissions for the microservice to connect to the database.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ServiceAccount:
- Create a ServiceAccount in the namespace where our microservice is deployed:
2. Create a Role: - Create a Role in the namespace where the database is deployed, granting access to the database resources:
3. Create a ROIeBinding: - Create a RoleBinding in the database namespace to bind the Role to the ServiceAccount:
4. Apply the Configuration: - Apply the created ServiceAccount, Role, and Roledinding using 'kubectl apply -r commands: bash kubectl apply -f my-microservice-sa_yaml kubectl apply -f my-database-access-role-yaml kubectl apply -f my-database-access-rolebinding.yaml 5. Configure the Microservice: - Mount the ServiceAccount token as a secret within the microservice's pod:
6. Verify Permissions: - Access the database from the microservice pod to verify that the required permissions are granted.
NEW QUESTION # 167
......
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