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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Services and Networking | 20% | - Provide and troubleshoot access to applications via services - Demonstrate basic understanding of NetworkPolicies - Use Ingress rules to expose applications |
| Topic 2: Application Design and Build | 20% | - Define, build and modify container images - Understand multi-container Pod design patterns (e.g., sidecar, init and others) - Utilize persistent and ephemeral volumes - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) |
| Topic 3: Application Observability and Maintenance | 15% | - Utilize container logs - Understand API deprecation policies - Debugging in Kubernetes - Use built-in CLI tools to monitor Kubernetes applications - Implement probes and health checks |
| Topic 4: Application Deployment | 20% | - Understand Deployments and how to perform rolling updates - Kustomize - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Use the Helm package manager to deploy existing packages |
| Topic 5: Application Environment, Configuration and Security | 25% | - Understand authentication, authorization and admission control - SecurityContexts - Understanding and defining resource requirements, limits and quotas - ConfigMaps and Secrets - ServiceAccounts - Discover and use resources that extend Kubernetes (CRD, Operators) |
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NEW QUESTION # 100
You have a web application that uses two different services: 'frontend' and 'backend'. You want to restrict access to the 'backend' service from all pods except those with the label 'app: frontend'. How would you configure NetworkPolicy to achieve this?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
- Replace with your actual namespace. 2. Apply the NetworkPolicy: - Run the following command to apply the NetworkPolicy: bash kubectl apply -f backend-networkpolicy.yaml - This NetworkPolicy defines a policy for pods with the label 'app: backend'. - The 'ingress' rule allows traffic only from pods with the label 'app: frontend'. - All other pods will be blocked from accessing the 'backend' service. This ensures that only the frontend' service can communicate with the 'backend' service. ,
NEW QUESTION # 101
You are building a Kubernetes application that involves a microservice architecture with multiple pods for each service. One of your services requires a sidecar container to handle logging and monitoring. How would you design the pod structure and define the relationships between the application container and the sidecar container?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Pod Specification:
- Create a pod definition file (e.g., 'pod.yaml').
- Include the 'apiVersion', 'kind', 'metadata' (name, labels), and 'spec' sections.
2. Define Application Container:
- Within the 'spec.containerS section, define the primary application container:
- 'name': Provide a descriptive name for the application container (e.g., 'app').
- Simage: Specify the Docker image for the application.
- 'ports': Define any ports that the application exposes.
- 'resources': (Optional) Specify resource requests and limits for the application container.
3. Define Sidecar Container.
- Add another container definition within the 'spec-containers' section for the sidecar:
- 'name': Provide a name for the sidecar container (e.g., Slogger').
- 'image': Specify the Docker image for the sidecar container (e.g., "busybox'
- 'command': Define the command to run within the sidecar. This might involve using a logging agent, monitoring tool, or any other custom script.
- 'volumeMountss: (Optional) If the sidecar needs access to shared data, mount volumes here.
4. Define Shared Volumes (Optional):
- If necessary, create a 'spec-volumes' section to define any shared volumes that both containers can access. This might include:
- 'emptyDir': For temporary data that only exists within the pod.
- 'persistentVolumeClaim': To use a persistent volume claim for shared data that persists beyond pod restarts.
5. Configure Container Relationships:
- Ensure that the 'name' of the application container and sidecar container is the same as the 'name' used in the 'volumeMounts' section.
Example YAML:
- The pod named 'my-app-pod' includes two containers: 'app' (the primary application) and 'logger' (the sidecar). - The 'loggers container uses a 'command' to simulate logging activity. - Both containers can access the 'logs' volume, which is an empty directory. Important Note: - The sidecar container should ideally be configured to interact with the application container. This might involve using shared volumes, environment variables, or inter-process communication mecnanisms to facilitate data exchange or Signal passing. - Remember to adapt the example to your specific application requirements, choosing the appropriate container images, commands, and volumes.]
NEW QUESTION # 102
You are deploying a web application with a separate database container. You need to implement a proxy container that handles requests from the web server and forwards them to the database container. The proxy container should also log all incoming requests to a dedicated log file within the Pod.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the Pod YAML: Create a Pod YAML file that includes the web server, database, and proxy containers.
2. Configure the Proxy Container: Choose a suitable proxy container image (e.g., Nginx, HAProxy) and configure it to forward requests from port 8080 to the database container on port 5432 3. Implement Logging: Configure the proxy container to log incoming requests to the '/var/log/proxy' directory. You can use the proxy container's built- in logging facilities or install a separate logging agent within the container. 4. Deploy the Pod: Apply the Pod YAML using ' kubectl apply -f my-app-pod_yaml' 5. Verify Functionality: Access the web server container on port 80 and ensure requests are forwarded to the database container Check the log file ' Ivar/log/proxys to verify that requests are being logged. Note: This solution demonstrates using a proxy container to manage communication between different containers within a Pod. You can customize the proxy's configuration based on your specific application's requirements.,
NEW QUESTION # 103
You have a Deployment for a web application that uses a separate Redis cache pod for session management. You want to ensure that each web application pod can access a dedicated Redis instance for session management and avoid contention. Explain how you can use a PersistentVolumeClaim and StatetulSet to achieve this.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a PersistentVoIumeClaim:
- Create a PersistentVoIumeCIaim (PVC) to request persistent storage for each Redis instance.
- Specify the storage size, access modes, and other requirements based on your needs.
- Example:
2. Create a StatefulSet: - Define a StatefulSet for the Redis pods. - Associate each Redis pod with a unique PVC, ensuring that each pod gets its own dedicated persistent volume. - Example:
3. Configure the Deployment: - Denne tne web application pod Within a Deployment. - Use a Service (e.g., 'redis-service') to access the Redis instances. - Make sure the web application's code can access the Redis instances using the service name. - Example:
4. Deploy and Test - Deploy tne PersistentVolumeClaim, StatefulSet, and Deployment. - Test the web application to ensure that each pod can access its own dedicated Redis instance and session data is correctly managed Without contention. 5. Important: - StatefulSets ensure that each pod has a unique hostname and persistent storage, making them suitable for managing stateful applications. - This approach helps isolate Redis instances, preventing session data conflicts and ensuring the scalability of your web application. ,
NEW QUESTION # 104
You are managing a Kubernetes cluster running a web application. You need to create a CronJob that automatically updates the web application's database every night at 1:00 AM. The database update script iS located in a container image named 'database-update:vl'. The script requires the following environment variables: 'DATABASE_HOST' , 'DATABASE_USER' , and 'DATABASE_PASSWORD'. How would you create the CronJob YAML file to achieve this?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create the CronJob YAML file:
- Stan by creating a YAML file named 'database-update-cronjob.yaml' with the following structure:
2. Create a Secret for database credentials: - Create a Kubernetes secret named 'database-credentials' to store the sensitive database credentials:] bash kubectl create secret generic database-credentials \ --trom-literal=DATA8ASE HOST=your_database host \ --from-literal=DATA8ASE_USER=your_database_user --from-literal=DATA8ASE_PASSWORD=your_database_password 3. Apply the CronJob: - Apply the CronJ0b YAML file using 'kubectl apply -f database-update-cronjob.yamr. 4. Verify the CronJob: - Check the status of the CronJob using "kubectl get cronjobs" and ensure that it is scheduled successfully. - 'schedule': Defines the schedule for the CronJ0b. In this case, it's set to "0 1 ", which means the job will run at 1:00 AM every day. - 'jobTemplate': Specifies the template for the job that will be created by the CronJob. - 'containers': Defines tne container that will run tne database update script. - 'images: Sets the image for the container, which is 'database-update:vl' - 'command': Defines the command to be executed in the container. - Specifies the environment variables required for the database update script. In this case, the variables are retrieved from a Kubernetes secret named 'database-credentials' to ensure secure storage of sensitive information. - 'backoffLimit: Sets the maximum number of retries if the job fails. ,
NEW QUESTION # 105
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