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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Services and Networking | 20% | - Provide and troubleshoot access to applications via services - Use Ingress rules to expose applications - Demonstrate basic understanding of NetworkPolicies |
| Topic 2: Application Observability and Maintenance | 15% | - Understand API deprecation policies - Implement probes and health checks - Use built-in CLI tools to monitor Kubernetes applications - Debugging in Kubernetes - Utilize container logs |
| Topic 3: Application Deployment | 20% | - Understand Deployments and how to perform rolling updates - Use the Helm package manager to deploy existing packages - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Kustomize |
| Topic 4: Application Environment, Configuration and Security | 25% | - ConfigMaps and Secrets - ServiceAccounts - Discover and use resources that extend Kubernetes (CRD, Operators) - SecurityContexts - Understand authentication, authorization and admission control - Understanding and defining resource requirements, limits and quotas |
| Topic 5: Application Design and Build | 20% | - Utilize persistent and ephemeral volumes - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) - Define, build and modify container images - Understand multi-container Pod design patterns (e.g., sidecar, init and others) |
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NEW QUESTION # 153
Context
Task:
Update the Deployment app-1 in the frontend namespace to use the existing ServiceAccount app.
Answer:
Explanation:
Solution:
NEW QUESTION # 154
You have a Deployment named 'wordpress-deployment' that runs 3 replicas of a WordPress container. You need to implement a persistent volume claim (PVC) for each pod that stores the website data, and you want to ensure that the data persists even if the pod is deleted or restarted. The PVC should be created using a storage class named 'standard' with a capacity of 10Gi.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a Storage Class:
- Create a 'standard' storage class:
- Apply the YAML file: bash kubectl apply -f standard-storage-class-yaml 2. Create a Persistent Volume Claim: - Create a PVC named 'wordpress-pvc' with a request for IOGi storage and using the 'standard' storage class:
- Apply the YAML file: bash kubectl apply -f wordpress-pvc.yaml 3. Update the Deployment - Update the Swordpress-deployment' YAML file to mount the PVC to each pod:
- Apply the updated YAML file: bash kubectl apply -f wordpress-deployment_yaml 4. Verify the Deployment - Check the status of the deployment using 'kubectl get deployments wordpress-deployment' to confirm the rollout and updated replica count. - Use 'kubectl describe pods -l app=wordpress' to confirm that each pod is using the 'wordpress-pvc' and the website data is stored in the persistent volume. - You can now access the WordPress website through the service that is associated with the Deployment. 5. Test Data Persistence: - Delete or restan one of the pods in the deployment. - Observe that the website data remains intact because the PVC is persistent and the data is stored in the underlying volume.,
NEW QUESTION # 155 
Context
You have been tasked with scaling an existing deployment for availability, and creating a service to expose the deployment within your infrastructure.
Task
Start with the deployment named kdsn00101-deployment which has already been deployed to the namespace kdsn00101 . Edit it to:
* Add the func=webFrontEnd key/value label to the pod template metadata to identify the pod for the service definition
* Have 4 replicas
Next, create ana deploy in namespace kdsn00l01 a service that accomplishes the following:
* Exposes the service on TCP port 8080
* is mapped to me pods defined by the specification of kdsn00l01-deployment
* Is of type NodePort
* Has a name of cherry
Answer:
Explanation:
See the solution below.
Explanation:
Solution:
NEW QUESTION # 156 
Task:
1) First update the Deployment cka00017-deployment in the ckad00017 namespace:
*To run 2 replicas of the pod
*Add the following label on the pod:
Role userUI
2) Next, Create a NodePort Service named cherry in the ckad00017 nmespace exposing the ckad00017- deployment Deployment on TCP port 8888 See the solution below.
Answer:
Explanation:
Solution:
NEW QUESTION # 157
You are building a microservice architecture for a new e-commerce application. This architecture consists of three microservices: 'product- service' , 'can-service' , and 'order-service'. Each microservice nas a dedicated database and utilizes a Redis cacne for performance optimization.
You are tasked with designing the 'product-service , which is responsible for managing product information (name, description, price, inventory).
Implement a multi-container Pod design for the product-service' that addresses the following requirements:
- The Pod must include a primary container running the 'product-service' application.
- The Pod must include a secondary container for Redis to cache frequently accessed product data.
- The Pod must use a shared volume to persist the Redis data across container restarts.
- The 'product-service' must connect to the local Redis instance in the Pod for optimized data retrieval.
- The product-service' should be configured to periodically update the Redis cache With the latest product data from the database.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the Deployment YAML:
- Define a Deployment with the name 'product-service'
- Set the replicas to ' 2' to provide redundancy and high availability.
- Specify the labels Sapp: product-service' for selecting the Pods in the Deployment.
- Create a 'template' section to define the Pod specification.
2. Create the Persistent Volume Claim (PVC): - Define a PVC with the name 'redis-pvc' - Specify the storage class and access mode. - Set the required storage size for Redis data.
3. Deploy the Resources: - Apply the Deployment and PVC using 'kubectl apply -f deployment.yamr and 'kubectl apply -f pvc.yamr. 4. Verify the Deployment: - Check the status of the Deployment using 'kubectl get deployments product-service' and ensure that two Pods are running. - Check the status of the PVC using 'kubectl get pvc redis-pve 5. Configure the 'product-service'- - Modify the 'product-service' application to use the Redis instance in the Pod as the cache backend. - Configure the -product-service' to periodically tetch data trom the database and update the Redis cache. 6. Test the Application: - Send requests to the 'product-service to retrieve product data. - Monitor the Redis cache to ensure that it's being used and updated as expected. Important Considerations: - Ensure that the 'product-service' application is properly configured to connect to the Redis instance within the same Pod. - Use a suitable Redis cache library or framework in the 'product-service for efficient caching. - Implement a proper caching strategy (e.g., TTL, cache eviction) to prevent stale data. - Monitor the Redis cache performance and resource usage to optimize the cache configuration.
NEW QUESTION # 158
......
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