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| Section | Objectives |
|---|---|
| Topic 1: Application Environment, Configuration and Security | - Security contexts and service accounts - ConfigMaps and Secrets usage |
| Topic 2: Services and Networking | - Ingress basics - Pod networking concepts - Services (ClusterIP, NodePort) |
| 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: State Persistence | - PersistentVolumes and PersistentVolumeClaims - Storage classes and volume mounting |
| Topic 6: Application Design and Build | - Define, build and modify container images - Understand Jobs and CronJobs - Understand multi-container Pod design patterns |
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NEW QUESTION # 228
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh ckad00033
Task
A Dockerfile has been prepared at /home/candidate/build/Dockerfile.
Using the prepared Dockerfile, build a container image with the name macaque and tag 1.2. You may install and use the tool of your choice.
Multiple image builders and tools have been pre-installed in the base system, including: docker, skopeo, buildah, img , and podman.
Please do not push the built image to a registry, run a container, or otherwise consume it.
Using the tool of your choice, export the built container image in OCI or Docker image format and store it at
/home/candidate/macaque-1.2.tar.
Answer:
Explanation:
See the Explanation below for complete solution.
Explanation:
Understood - I'll redo Question 13 without using any # (or similar) icons.
ssh ckad00033
This task is only about building and exporting a container image.
You must not push it, run it, or consume it in any way.
You may use any image builder. Below are clean, correct solutions. Use one of them.
Option A: Using Docker
1) Go to the Dockerfile location
cd /home/candidate/build
ls -l Dockerfile
2) Build the image
Image name: macaque
Tag: 1.2
docker build -t macaque:1.2 .
Verify:
docker images | grep macaque
3) Export the image to a tar file
Docker image format is acceptable.
docker save macaque:1.2 -o /home/candidate/macaque-1.2.tar
Verify the file exists:
ls -lh /home/candidate/macaque-1.2.tar
Do not load or run the image.
Option B: Using Podman (rootless alternative)
1) Build the image
cd /home/candidate/build
podman build -t macaque:1.2 .
Verify:
podman images | grep macaque
2) Export the image
podman save macaque:1.2 -o /home/candidate/macaque-1.2.tar
Verify:
ls -lh /home/candidate/macaque-1.2.tar
Option C: Using Buildah (OCI format)
cd /home/candidate/build
buildah bud -t macaque:1.2 .
buildah push macaque:1.2 oci-archive:/home/candidate/macaque-1.2.tar
NEW QUESTION # 229
Refer to Exhibit.
Task:
Update the Pod ckad00018-newpod in the ckad00018 namespace to use a NetworkPolicy allowing the Pod to send and receive traffic only to and from the pods web and db
Answer:
Explanation:
Solution:
NEW QUESTION # 230 
Task
You are required to create a pod that requests a certain amount of CPU and memory, so it gets scheduled to-a node that has those resources available.
* Create a pod named nginx-resources in the pod-resources namespace that requests a minimum of 200m CPU and 1Gi memory for its container
* The pod should use the nginx image
* The pod-resources namespace has already been created
Answer:
Explanation:
See the solution below.
Explanation
Solution:
NEW QUESTION # 231
You have a Kubernetes cluster running a critical application With multiple pods. Recently, the application has started experiencing intermittent performance issues, with some pods exhibiting high CPU utilization and others remaining idle. You suspect a network issue might be the culprit. Describe the steps you would take to investigate this issue and determine the source of the network problem.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Gather Logs and Metrics:
- Kubernetes Events: use 'kubectl get events' to see if any events related to pods, services, or network issues are being logged.
- Container Logs: Inspect the logs of the affected pods to see if any network-related errors are reported.
- Metrics: Utilize tools like Prometheus or Grafana to monitor metrics like:
- CPU Utilization: Identify pods With high CPIJ usage.
- Network 1/0: Monitor network traffic patterns and look for anomalies.
- Latency: Check for network delays pods and services-
- Network Monitoring Tools: TOOIS like Wireshark or tcpdump can be used to capture and analyze network traffic for deeper insignts.
2. Examine Network Connectivity:
- Ping Test Run 'pings commands to check the connectivity between pods, nodes, and external services.
- Connectivity Tests: Use 'kubectl exec' to access a pod and #fform 'curl' commands to verify connectivity to services and other pods.
3. Inspect Network Configuration:
- Network Policies: Review any network policies applied to the pods, namespaces, or the cluster.
- Service Definitions: Check tne 'service' definitions to ensure tney are correctly configured and routing traffic as intended.
- Network Plugins: If using a network Plugin like Calico or Flannel, review its configuration and logs for any issues.
- Network Namespaces: Verity if the pods are using the correct network namespaces.
4. Analyze Network Traffic:
- Traffic Flow IJse tools like 'kubectl describe service' to analyze how traffic flows through the services and pods.
- Network Tracing: Utilize tracing tools to map tne flow of requests through the network and identify potential bottlenecks.
- Network Bandwidth: Check if the network bandwidth is sufficient to handle the traffic load-
5. Isolate and Resolve the Issue:
- Restart Pods: Try restarting the affected pods to see if it resolves the issue.
- Update Network Configurations: Adjust network policies, service definitions, or plugin settings if required.
- Network Troubleshooting: Utilize the collected information and network analysis tools to pinpoint the root cause.
6. Implement a Solution:
- Network Optimization: Adjust network settings or configurations to improve performance.
- Scaling: Increase the number of pods or modify deployment strategies if necessary.
- Network Monitoring: Implement continuous monitoring and alerting for potential network issues.,
NEW QUESTION # 232
You are running a Kubernetes cluster with a limited number of nodes, and you want to deploy a new application that requires a lot of resources. You are concerned about potential resource contention and performance issues with other existing applications. How would you use resource quotas to manage resource usage and prevent potential issues?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Resource Quota:
- Create a new YAML file (e.g., 'resource-quota.yaml') to define your resource quota.
- Specify the name of the resource quota and the namespace where it will be applied.
- Define the resource limits for the quota. For instance, you can set limits for CPU, memory, pods, services, etc.
2. Apply the Resource Quota: - Apply the resource quota to your cluster using the following command: bash kubectl apply -f resource-quota.yaml 3. Verify the Resource Quota: - Use the "kubectl get resourcequota' command to list the applied resource quotas and confirm their status. 4. Deploy Applications with Resource Requests: - When deploying your applications, ensure that you specify resource requests and limits in your Deployment YAML files. - This will help enforce the resource limits defined by your quota.
5. Monitor Resource Usage: - Use monitoring tools (e.g., Prometheus, Grafana) to track resource usage in your namespace and ensure that applications are staying within the resource limits defined by your quota.
NEW QUESTION # 233
......
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