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| Section | Weight | Objectives |
|---|---|---|
| Application Design and Build | 20% | - Understand multi-container Pod design patterns (e.g., sidecar, init and others) - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) - Define, build and modify container images - Utilize persistent and ephemeral volumes |
| Application Observability and Maintenance | 15% | - Understand API deprecation policies - Implement probes and health checks - Debugging in Kubernetes - Use built-in CLI tools to monitor Kubernetes applications - Utilize container logs |
| Application Deployment | 20% | - Kustomize - Use the Helm package manager to deploy existing packages - Understand Deployments and how to perform rolling updates - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) |
| Services and Networking | 20% | - Use Ingress rules to expose applications - Demonstrate basic understanding of NetworkPolicies - Provide and troubleshoot access to applications via services |
| Application Environment, Configuration and Security | 25% | - SecurityContexts - ServiceAccounts - Discover and use resources that extend Kubernetes (CRD, Operators) - Understand authentication, authorization and admission control - ConfigMaps and Secrets - Understanding and defining resource requirements, limits and quotas |
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NEW QUESTION # 230
You have a Kubernetes cluster with a deployment named 'myapp'. This deployment utilizes a service account named 'my-sas to access a private registry. You need to grant this service account access to pull images from the registry, which requires an image pull secret named 'my-secret How would you configure the service account to use this image pull secret and ensure your myapp' deployment can successfully pull images?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Service Account:
- If you haven't already, create a service account named 'my-sa':
- Apply this YAML file using 'kubectl apply -f my-sa.yaml. 2. Create an Image Pull Secret: - Create a secret containing the necessary credentials for your private registry:
- Replace with the base64 encoded contents of your Docker configuration file. You can obtain this by using 'cat ~/.docker/config.json | base64'. - Apply the YAML file using 'kubectl apply -f my-secret.yaml' 3. Associate the Secret with the Service Account: - Add the 'my-secret' secret to tne 'my-sa' service account:
- Apply this YAML file using ' kubectl apply -f my-sa_yamr 4. Update Deployment with Service Account - Update the deployment configuration for 'myapp' to use the 'my-sa' service account.
- Ensure that 'your-private-registry', 'your-image', and 'your-tag' match the details of your private registry image. - Apply the updated deployment configuration using 'kubectl apply -f myapp.yamr 5. Verify Deployment: - Check the status of the deployment using ' kubectl get deployments myapp'. You should see the pods successfully pulling images from your private registry Important Notes: - Security Best Practices: Always use dedicated service accounts with minimal permissions. - Image Pull Secret: The 'my-secret' secret should be securely stored and managed. - Namespace: Ensure that both the service account and secret are in the same namespace as your deployment. - Registry Authentication: Ensure your private registry is configured with proper authentication for your service account credentials.,
NEW QUESTION # 231
You are developing a microservices application and want to deploy it to Kubernetes using Helm. You have two services: 'user-service and 'order-service. The 'order-service depends on the "user-service'. How would you use Helm to manage these deployments, ensuring that the 'order- service' only starts after the 'user-service' is successfully deployed and running?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Helm Chart for Each Service:
- 'user-service' chart:
- Create a 'values.yamr file for the 'user-service' chart.
- Define the container image, resources, and any other necessary configurations for the 'user-service'.
- 'order-service' chart:
- Create a 'values-yamr file for the 'order-service' chart
- Define the container image, resources, and any other necessary configurations for the 'order-service'
- In tne 'values.yamr, add a dependency on the 'user-service' chart.
2. Configure Helm for Dependency Management: - Use the '-dependency-update' flag to ensure that Helm automatically updates the 'user-service chart before deploying the 'order-service' bash helm dependency update order-service 3. Deploy the Services Using Helm: - Deploy the 'user-service chart: bash helm install user-service Juser-service - Deploy the 'order-service' chart: bash helm install order-service ./order-service - Helm will automatically handle the dependency between the services, ensuring that the 'user-services is deployed before the 'order-service' 4. Verify Deployment and Dependency: - Use ' kubectl get pods -l app=user-service' and 'kubectl get pods -l app=order-service' to verify that the pods are running. - You Should observe that the 'user-service' pods are up and running before the 'order-services pods start. - You can also use 'kubectl describe pod' to see the pod events and confirm that the 'order-service' pod is waiting for the 'user-service' to be ready before starting.,
NEW QUESTION # 232
You are tasked Witn designing a multi-container Pod tnat nosts botn a web server and a database. The web server should be able to connect to the database within the pod- How would you implement this design, including networking considerations?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Pod YAMI-: Create a Pod definition that includes two containers: one tor the web server and one for the database.
2. Configure Networking: The key to allowing the web server to connect to the database is to use the pod's internal network. Since containers Within a pod share the same network namespace, you can configure the webserver to connect to the database using the name "db". 3. Environment Variables: Set an environment variable CDB HOST') within the webserver container to point to the database container by its name. This ensures the web server can correctly connect to the database within the pod. 4. Pod Deployment: Apply the YAML to create the pod using 'kubectl apply -f web-db-pod.yamr. 5. Verification: To check the pod's status: - Run 'kubectl get pods' - Check the logs of the web server container to confirm it can connect to the database. 6. Important Note: In this example, we're using the default pod networking within Kubernetes. For more complex applications, consider using a service to expose the database container This will allow access to the database from outside the pod.,
NEW QUESTION # 233
You have a Deployment named 'wordpress-deployment' that runs 3 replicas of a Wordpress container. You need to set up resource requests and limits for CPU and memory for each pod. The application requires a minimum of 250m CPU and 512Mi memory, but it should not exceed 500m CPU and IGi memory. Furthermore, implement a resource quota for the swordpress' namespace to ensure that the total CPU requests and limits do not exceed 2 CPIJ and 4Gi memory, respectively.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Add 'resources' to the 'containers' section, setting 'requests' and 'limits' for both CPIJ and memory.
- The 'requests' should be set to the minimum required resources, and 'limits' to the maximum allowed.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f wordpress-deployment-yamr 3. Create a Resource Quota: - Create a ResourceQuota YAML file named 'wordpress-quota.yaml' with the following contents:
4. Apply the Resource Quota: - Apply the ResourceQuota YAML file using 'kubectl apply -f wordpress-quota.yamr. 5. Verify the Deployment and Quota: - Check the status of the Deployment using 'kubectl get deployments wordpress-deployment' to confirm the updated resource requests and limits. - Use ' kubectl get resourcequotas -n wordpresS to verify the applied resource quota and its remaining limits- 6. Test Resource Limits: - Try to create a new Deployment or Pod in the 'wordpress' namespace that exceeds the resource quota limits. This should result in an error, ensuring the quota is enforced.
NEW QUESTION # 234 
Context
A user has reported an aopticauon is unteachable due to a failing livenessProbe .
Task
Perform the following tasks:
* Find the broken pod and store its name and namespace to /opt/KDOB00401/broken.txt in the format:
The output file has already been created
* Store the associated error events to a file /opt/KDOB00401/error.txt, The output file has already been created. You will need to use the -o wide output specifier with your command
* Fix the issue.
Answer:
Explanation:
See the solution below.
Explanation
Solution:
Create the Pod:
kubectl create
-f http://k8s.io/docs/tasks/configure-pod-container/
exec-liveness.yaml
Within 30 seconds, view the Pod events:
kubectl describe pod liveness-exec
The output indicates that no liveness probes have failed yet:
FirstSeen LastSeen Count From SubobjectPath Type Reason Message
--------- -------- ----- ---- ------------- -------- ------ -------
24s 24s 1 {default-scheduler } Normal Scheduled Successfully assigned liveness-exec to worker0
23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Pulling pulling image
"gcr.io/google_containers/busybox"
23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image
"gcr.io/google_containers/busybox"
23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Created Created container with docker id
86849c15382e; Security:[seccomp=unconfined]
23s 23s 1 {kubelet worker0} spec.containers{liveness} Normal Started Started container with docker id
86849c15382e
After 35 seconds, view the Pod events again:
kubectl describe pod liveness-exec
At the bottom of the output, there are messages indicating that the liveness probes have failed, and the containers have been killed and recreated.
FirstSeen LastSeen Count From SubobjectPath Type Reason Message
--------- -------- ----- ---- -------------
37s 37s 1 {default-scheduler } Normal Scheduled Successfully assigned liveness-exec to worker0
36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Pulling pulling image
"gcr.io/google_containers/busybox"
36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Pulled Successfully pulled image
"gcr.io/google_containers/busybox"
36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Created Created container with docker id
86849c15382e; Security:[seccomp=unconfined]
36s 36s 1 {kubelet worker0} spec.containers{liveness} Normal Started Started container with docker id
86849c15382e
2s 2s 1 {kubelet worker0} spec.containers{liveness} Warning Unhealthy Liveness probe failed: cat: can't open
'/tmp/healthy': No such file or directory
Wait another 30 seconds, and verify that the Container has been restarted:
kubectl get pod liveness-exec
The output shows that RESTARTS has been incremented:
NAME READY STATUS RESTARTS AGE
liveness-exec 1/1 Running 1 m
NEW QUESTION # 235
......
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