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| Section | Weight | Objectives |
|---|---|---|
| Services and Networking | 20% | - Troubleshoot network access - Use Ingress rules - Understand and apply NetworkPolicies - Expose applications via Services |
| Application Design and Build | 20% | - Choose and use appropriate workload resources - Utilize persistent and ephemeral volumes - Understand multi-container Pod design patterns - Define, build and modify container images |
| Application Environment, Configuration and Security | 25% | - Create and consume Secrets - Configure resource requirements, limits and quotas - Use ServiceAccounts - Work with ConfigMaps - Apply application security settings - Use custom resources and extensions - Understand authentication, authorization and admission control |
| Application Observability and Maintenance | 15% | - Implement probes and health checks - Understand API deprecations - Debug applications in Kubernetes - Work with container logs - Monitor applications using CLI tools |
| Application Deployment | 20% | - Implement deployment strategies - Manage Deployments, rolling updates and rollbacks - Work with Kustomize - Use Helm package manager |
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NEW QUESTION # 204 
Context
It is always useful to look at the resources your applications are consuming in a cluster.
Task
* From the pods running in namespace cpu-stress , write the name only of the pod that is consuming the most CPU to file /opt/KDOBG030l/pod.txt, which has already been created.
Answer:
Explanation:
See the solution below.
Explanation:
Solution:
NEW QUESTION # 205
You are developing a multi-container application that includes a web server, a database, and a message broker. You want to ensure that the database and message broker start before the web server to avoid dependency issues. How can you design your deployment to achieve this?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Pod with Containers:
- Create a 'Pod' definition with three containers: 'web-server', 'database' , and 'message-broker
- Include the appropriate image names for each container.
2. Implement Init Containers: - Define ' initcontainers' within the 'Pod' spec to run containers before the main application containers. - Use 'initContainers' to set up the database and message broker:
3. Apply the Pod Definition: - Apply the 'Pod' definition using 'kubectl apply -f multi-container-app.yamr 4. Verify Container Startup Order: - Check the pod logs using 'kubectl logs -f multi-container-app'. You will observe the init containers ('database-init and 'message-broker-init') starting first, followed by the main containers ('web-server', 'database' , and 'message-broker'). Note: In this example, the 'database-init and 'message-broker-init containers simply print a message. You can replace these with actual initialization scripts or commands relevant to your specific database and message broker services.
NEW QUESTION # 206
You nave a multi-container pod tnat uses a database container and an application container. The database container is responsible for storing sensitive datm You need to ensure that the database container only runs on nodes that have a specific label, like 'sensitive-data=true', for added security. How would you implement this constraint using Pod Affinity and node selectors?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Node Labels:
- First, you need to label your nodes appropriately. I-Jse ' kubectl label nodes sensitive-data=true' for nodes that should host the database container
2. Create Pod Affinity Rules:
- In your pod definition, add a 'nodeselector' to enforce the requirement.
3. Apply the Pod Definition: - Apply the updated pod definition using 'kubectl apply -f my-app-yaml' 4. Verification: - Check the pod status using 'kubectl get pods my-app'. Ensure the pod is scheduled on a node with the 'sensitive-data-true label. 5. Further Security: - You can additionally use 'podAffinity' to ensure that the database container and the application container run on different nodes. This adds an extra layer of security in case one node is compromised.
- In this example, 'podAntiAtfinitys Witn 'requiredDuringScnedulinglgnoredDunngExecution' ensures tnat tne database container and tne application container are not scheduled on the same node, thus preventing potential data breaches. ,
NEW QUESTION # 207
Exhibit:
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: B
NEW QUESTION # 208
You have a Kubernetes cluster with a Deployment that runs a critical web application. The application's codebase is in a Git repository, and you want to automatically deploy a new version of the application whenever a new commit is pushed to the 'master branch ot the repository. You need to ensure that the deployment process iS seamless and doesn't result in downtime for the web application.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Set up a Git repository:
- Create a Git repository on a platform like GitHub, GitLab, or Bitbucket.
- Store your web application's code in this repository
2. Configure a webhook:
- Go to the settings of your Git repository and configure a webhook.
- The webhook URL should point to your Kubernetes clusters API server.
- Set the webhook event to 'push' and the branch to 'master
3. Create a Deployment
- Create a Deployment YAML file with the following configuration:
4. Create a Kubernetes Secret: - Store your Git repository's credentials in a Kubemetes secret - This secret will be used to authenticate the webhook request from your Git repository. 5. Create a Job: - Create a Job YAML file with the following configuration:
6. Apply the resources: - Apply the Deployment, Secret, and Job YAML files to your Kubernetes cluster 7. Test the deployment: - Push a new commit to the 'master' branch of your Git repository. - Observe that the Job runs and updates the Deployment with the new image. - VeriSi that the web application is still accessible during the update process.
NEW QUESTION # 209
......
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