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Linux Foundation Certified Kubernetes Administrator (CKA) program certification exam is a highly recognized and sought-after certification in the field of container orchestration. Designed for IT professionals who have experience in deploying, administering, and maintaining Kubernetes clusters, CKA Certification is a key indicator of one's proficiency in Kubernetes.
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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q108-Q113):
NEW QUESTION # 108
Create a pod as follows:
Name: non-persistent-redis
container Image: redis
Volume with name: cache-control
Mount path: /data/redis
The pod should launch in the staging be persistent.
Answer:
Explanation:
See the solution below.
Explanation
solution
F:WorkData Entry WorkData Entry00827CKA B.JPG
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F:WorkData Entry WorkData Entry00827CKA D.JPG
NEW QUESTION # 109
Create a deployment as follows:
Name: nginx-app
Using container nginx with version 1.11.10-alpine
The deployment should contain 3 replicas
Next, deploy the application with new version 1.11.13-alpine, by performing a rolling update.
Finally, rollback that update to the previous version 1.11.10-alpine.
Answer:
Explanation:
solution
NEW QUESTION # 110
You have a Deployment named 'my-app-deployment' running a complex microservice application with several pods. You suspect that some pods are experiencing high CPU utilization, causing performance issues. How would you monitor and troubleshoot the CPU usage of individual pods within this deployment?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Deployment Pods:
- Use 'kubectl get pods -l app=my-app to list the pods associated with the 'my-app-deployment' deployment.
Note the pod names.
2. Check CPU Utilization:
- Use 'kubectl top pods to check the real-time CPU usage of the pods you identified in step 1 .
- Alternatively, use 'kubectl describe pod ' to see the average CPU usage over time.
3. Analyze CPU Metrics:
- Look for pods with consistently high CPU usage (e.g., 80% or more).
- Identify the specific containers within the pod consuming the most CPU resources. You can use 'kubectl top pod -c for this.
4. Investigate the Cause:
- Review the pod logs: Use 'kubectl logs to examine the logs of the affected pods. Look for error messages, unusual patterns, or indications of resource-intensive operations.
- Examine the application code: If possible, access the source code of the application running within the affected pods. Analyze the code for potential CPU-intensive operations or bottlenecks.
- Check resource limits: Ensure that the resource requests and limits defined for the containers in the pod are appropriate. If the limits are too low, the containers might be throttled, leading to high CPU usage. Use 'kubectl describe pod to check resource limits.
5. Possible Solutions:
- Increase resource limits: If the containers are being throttled, increase their CPU limits in the Deployment YAML.
- Optimize application code: If the application code is inefficient, you might need to optimize it to reduce CPU consumption.
- Scale down pods: If the high CPU usage is due to a temporary spike in demand, consider scaling down the number of pods in the deployment.
- Use a horizontal pod autoscaler (HPA): An HPA can automatically adjust the number of pods based on CPU utilization metrics.
6. Monitor and Iterate:
- After implementing any changes, monitor the CPU usage of the pods to ensure that the issue is resolved.
- Repeat this process of monitoring, troubleshooting, and optimization until the CPU usage is within acceptable levels.
NEW QUESTION # 111
You have a Deployment named 'postgres-deployment' running a PostgreSQL database server. You need to configure the PostgreSQL server with a specific configuration file stored in a ConfigMap named postgres-config'. The configuration file includes sensitive information like the PostgreSQL superuser password. How can you securely store and mount this sensitive information without compromising security?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the ConfigMap:
- Create a ConfigMap named 'postgres-config' containing the PostgreSQL configuration file (e.g., postgresql.conf). This file will likely contain the superuser password as a plain-text value. Create the ConfigMap using 'kubectl create configmap' with the '--from-file' flag:
kubectl create configmap postgres-config --from-file=postgresql.conf
2. Use a Secret for Sensitive Data:
- Create a Secret named postgres-password' to securely store the PostgreSQL superuser password. Use
'kubectl create secret generic' with the '--from-literal' flag:
kubectl create secret generic postgres-password --from-literal=postgres-password="your_postgres_password"
3. Modify the ConfigMap:
- Update the 'postgres-config' ConfigMap by replacing the plain-text password in the 'postgresql.conf with a placeholder or environment variable reference. This prevents the password from being exposed in plain text in the ConfigMap:
kubectl patch configmap postgres-config -p '{"data": {"postgresql.conf": "password =
'$POSTGRES PASSWORD' "}}'
4. Configure the Deployment:
- Modify the 'postgres-deployment' Deployment to mount both the 'postgres-config' ConfigMap and 'postgres- password' Secret as volumes in the Pod template. Use 'volumeMounts' to specify the mount paths and 'volumes' to define the volume sources:
5. Apply the Changes: - Apply the modified Deployment YAML using 'kubectl apply -f postgres-deployment.yamr. 6. Verify the Configuration: - Verify that the PostgreSQL container is using the secure password from the Secret by connecting to the PostgreSQL instance and attempting to authenticate. ]
NEW QUESTION # 112
Create a pod named kucc8 with a single app container for each of the
following images running inside (there may be between 1 and 4 images specified):
nginx + redis + memcached.
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 113
......
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