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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Observability and Maintenance | 15% | - Work with container logs - Monitor applications using CLI tools - Debug applications in Kubernetes - Implement probes and health checks - Understand API deprecations |
| Topic 2: Services and Networking | 20% | - Understand and apply NetworkPolicies - Expose applications via Services - Use Ingress rules - Troubleshoot network access |
| Topic 3: Application Deployment | 20% | - Manage Deployments, rolling updates and rollbacks - Implement deployment strategies - Work with Kustomize - Use Helm package manager |
| Topic 4: Application Design and Build | 20% | - Define, build and modify container images - Utilize persistent and ephemeral volumes - Choose and use appropriate workload resources - Understand multi-container Pod design patterns |
| Topic 5: Application Environment, Configuration and Security | 25% | - Create and consume Secrets - Apply application security settings - Use ServiceAccounts - Configure resource requirements, limits and quotas - Understand authentication, authorization and admission control - Use custom resources and extensions - Work with ConfigMaps |
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NEW QUESTION # 136
Exhibit:
Context
Developers occasionally need to submit pods that run periodically.
Task
Follow the steps below to create a pod that will start at a predetermined time and]which runs to completion only once each time it is started:
* Create a YAML formatted Kubernetes manifest /opt/KDPD00301/periodic.yaml that runs the following shell command: date in a single busybox container. The command should run every minute and must complete within 22 seconds or be terminated oy Kubernetes. The Cronjob namp and container name should both be hello
* Create the resource in the above manifest and verify that the job executes successfully at least once
Answer: B
NEW QUESTION # 137
You have a Deployment named 'redis-deployment that runs 3 replicas of a Redis container. You need to implement a rolling update strategy that allows tor a maximum ot one pod to be unavailable at any given time during tne update process, With the new pod becoming available before the old pod is terminated. Additionally, you want to ensure that the update process is triggered automatically whenever a new image is pushed to the Docker Hub repository 'redislabs/redis:latest.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Update the Deployment YAML:
- Update the 'replicas to 2_
- Define 'maxunavailable: 1 ' and 'maxSurge: 1 ' in the 'strategy.rollingupdate' section to control the rolling update process.
- Configure a 'strategy-type' to 'Rollingupdate' to trigger a rolling update when the deployment is updated.
- Add a 'spec-template.spec.imagePullPolicy: Always' to ensure that the new image is pulled even if it exists in the pod's local cache.
2. Create the Deployment: - Apply the updated YAML file using 'kubectl apply -f redis-deployment.yaml' 3. Verify the Deployment - Check the status of the deployment using 'kubectl get deployments redis-deployment' to confirm the rollout and updated replica count. 4. Trigger the Automatic Update. - Push a new image to the Docker Hub repository 5. Monitor the Deployment: - Use 'kubectl get pods -l app=rediS to monitor the pod updates during the rolling update process. You will observe that one new pod with the updated image is created, and then one old pod is terminated- This ensures that there is no downtime during the update process. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment redis-deployment' to see that the 'updatedReplicaS field matches the 'replicas' field, indicating a successful update.
NEW QUESTION # 138
You have a Deployment named 'my-app-deployment running a Flask application. You want to add a liveness probe that checks if the Flask application is responding on port '5000' and a readiness probe that checks if the application is ready to receive requests. Implement these probes using Kustomize.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a base Deployment configuration:
2. Create a 'kustomization.yamr file:
3. Create 'patcnes/liveness-probe.yaml':
4. Create 'patches/readiness-probe-yaml':
5. Apply the Kustomize configuration: bash kustomize . I kubectl apply -t- - Liveness probe: This probe checks if the application is still alive and running. It uses a TCP socket to connect to port ' 5000' and waits for 15 seconds before making the first cneck. It checks every 20 seconds, and if it fails 3 times in a row, the pod is restarted. - Readiness probe: This probe checks if the application is ready to receive requests. It also uses a TCP socket to connect to port '5000'. It checks every 10 seconds and waits for 5 seconds before the first check. If it fails 2 times in a row, the pod is marked as unhealthy and excluded trom receiving traffic. Note: Make sure your Flask application is actually listening on port '5000' and responding to requests. ,
NEW QUESTION # 139
You are running a multi-tier application in Kubernetes. Your application consists of a frontend service (nginx) and a backend service (app). The frontend service exposes a port to the outside world, while the backend service listens on a different port. The backend service needs to access a database service running on a different node.
You need to create a network policy that allows the nginx service to access the app service, and the app service to access the database service. Ensure tnat no otner traffic is allowed between pods in the cluster.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Network Policy for Nginx Service:
- Create a NetworkPoliCY named 'nginx-policy' that allows traffic from pods labeled 'app=nginx' to pods labeled Sapp-apps
- Use 'ingress' rules to define incoming traffic to the nginx service-
- Specify the for the nginx service.
- Allow all ports.
2. Define Network Policy for App Service: - Create a NetworkP01iCY named 'app-policy' that allows traffic from pods labeled 'app=app' to pods labeled 'app=database' - Use 'ingress' rules to define incoming traffic to the app service. - Specify the 'podSeIector' for the app service. - Allow traffic on the port that the database service listens on.
3. Create the NetworkPolicy Objects - Apply the NetworkP01iCies using the 'kubectl apply' command: bash kubectl apply -f nginx-policy.yaml kubectl apply -f app-policy.yaml 4. Apply Default Network Policy: - Create a NetworkPoliCY named 'default-policy' that blocks all traffic by default. - This ensures that only traffic allowed by the specific policies is permitted.
5. Apply Default Network Policy: - Apply the NetworkPoliCY using the 'kubectl apply' command: bash kubectl apply -f default-policy_yaml This configuration ensures that: - Nginx Service: Can access the 'app' service on port 80, and no other traffic is allowed in or out. - App Service: Can access the 'database' service on port 5432, and no other traffic is allowed in or out - All Other Pods: All other pods in the cluster are blocked from communicating with each other by the default network policy.,
NEW QUESTION # 140
Refer to Exhibit.
Task
Create a new deployment for running.nginx with the following parameters;
* Run the deployment in the kdpd00201 namespace. The namespace has already been created
* Name the deployment frontend and configure with 4 replicas
* Configure the pod with a container image of lfccncf/nginx:1.13.7
* Set an environment variable of NGINX__PORT=8080 and also expose that port for the container above
Answer:
Explanation:
Solution:
NEW QUESTION # 141
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