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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Deployment | 20% | - Use Helm package manager - Work with Kustomize - Manage Deployments, rolling updates and rollbacks - Implement deployment strategies |
| Topic 2: Application Observability and Maintenance | 15% | - Implement probes and health checks - Debug applications in Kubernetes - Understand API deprecations - Monitor applications using CLI tools - Work with container logs |
| Topic 3: Services and Networking | 20% | - Troubleshoot network access - Expose applications via Services - Understand and apply NetworkPolicies - Use Ingress rules |
| Topic 4: Application Design and Build | 20% | - Define, build and modify container images - Utilize persistent and ephemeral volumes - Understand multi-container Pod design patterns - Choose and use appropriate workload resources |
| Topic 5: Application Environment, Configuration and Security | 25% | - Create and consume Secrets - Configure resource requirements, limits and quotas - Use ServiceAccounts - Use custom resources and extensions - Work with ConfigMaps - Apply application security settings - Understand authentication, authorization and admission control |
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104. Frage
You have a web application that requires a specific sidecar container to perform certain tasks like logging and monitoring. You need to ensure that this sidecar container iS always running alongside your application pod, even it the main application pod restarts or iS deleted and recreated. How would you achieve this using a DaemonSet in Kubernetes?
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Define the DaemonSet YAML: Create a YAML file that defines the DaemonSet configuration. This file will include the following key sections:
- Metadata Includes the name and labels for the DaemonSet.
- Spec: Defines the deployment details:
- Selector: Matches the labels of the pods that the DaemonSet should manage.
- Template: Contains the pod definition:
- Containers: Defines the main application container and the sidecar container.
- Ensure the sidecar container has appropriate resources and environment variables.
- Include any necessary ports or volume mounts for the sidecar container.
- UpdateStrategy: You might want to control the update strategy (RollingUpdate or Recreate) if you have multiple nodes.
2. Create the Daemonset Apply the Daemonset YAML file to your Kubernetes cluster using 'kubectl apply -f daemonset.yamr. This will create the DaemonSet and stan deploying tne pods on each node. 3. Verify Deployment: Use 'kubectl get daemonsetS to check the status of the DaemonSet. Verify that the pods are running on each node. 4. Testing and Monitoring: - Restart or Delete the Main App Pod: Observe how the sidecar container continues running alongside the main app pod, even when the main pod is restarted or deleted and recreated. - Check Logs If your sidecar container is responsible for logging, use 'kubectl logs to check the logs from the sidecar container This approach ensures that the sidecar container remains in a ready state on each node and is always available to support your application pod, fulfilling the requirements for logging and monitoring even when the main pod restarts or is recreated.
105. Frage
Context
Anytime a team needs to run a container on Kubernetes they will need to define a pod within which to run the container.
Task
Please complete the following:
* Create a YAML formatted pod manifest
/opt/KDPD00101/podl.yml to create a pod named app1 that runs a container named app1cont using image Ifccncf/arg-output with these command line arguments: -lines 56 -F
* Create the pod with the kubect1 command using the YAML file created in the previous step
* When the pod is running display summary data about the pod in JSON format using the kubect1 command and redirect the output to a file named /opt/KDPD00101/out1.json
* All of the files you need to work with have been created, empty, for your convenience
Antwort:
Begründung:
Solution:
106. Frage
You are developing a new application that requires access to multiple services running in different namespaces. To simplify the configuration and ensure that the application can easily discover these services, you want to use a ServiceAccount with a cluster-scoped Role that grants access to services across namespaces.
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a ClusterRole:
- Create a ClusterRole that grants access to the required services in all namespaces
2. Create a ClusterR01e3inding: - Create a ClusterRole8inding to bind the ClusterRole to the ServiceAccount:
3. Create a ServiceAccount - Create a ServiceAccount in the namespace where the application is deployed:
4. Apply the Configuration: - Apply the ClusterRole, ClusterRoleBinding, and ServiceAccount using 'kL1bectl apply -f: bash kubectl apply -f access-services-cluster-role yaml kubectl apply -f access-services-cluster-role-binding.yaml kubectl apply -f my-app-sa.yaml 5. Configure the Application: - Ensure that the applications pod is using the created ServiceAccount
6. Test the Application: - Run the application and verify that it can successfully access the services in different namespaces. ,
107. Frage
You are deploying a resource-intensive application that requires a large amount of memory and CPU. How would you create a ResourceQuota to limit the resources consumed by this application and prevent it from impacting other workloads in the cluster?
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Define the ResourceQuota:
- Create a ResourceQuota object named resource-limit' in the namespace where the application is deployed.
- Set the resource limits for the application by specifying the maximum allowed requests for CPU and memory.
- You can also set limits for other resources, such as pods and services.
2. Apply the ResourceQuota: - Apply the ResourceQuota configuration using 'kubectl apply -f resource-limit.yaml' 3. Test the Resource Limits. - Try to create or scale the resource-intensive application beyond the defined limits. - You should receive an error indicating that the ResourceQuota has been exceeded.
108. Frage
You nave a Deployment tnat runs an application that requires specific environment variables to be set. These variables snould be different for each Pod in the Deployment- How would you use a Daemonset to generate unique environment variables for each Pod based on its hostname?
Antwort:
Begründung:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a DaemonSet:
- Define a Daemonset named 'env-generator' that will run a container on every node in the cluster.
- The container in the Daemonset will be responsible tor generating unique environment variables for each Pod.
- Replace 'your-env-generator-image:latest with the actual image you want to use for the DaemonSet.
109. Frage
......
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