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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% | - 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.) - Define, build and modify container images |
| Topic 3: Application Deployment | 20% | - Understand Deployments and how to perform rolling updates - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Kustomize - Use the Helm package manager to deploy existing packages |
| Topic 4: Application Environment, Configuration and Security | 25% | - Understanding and defining resource requirements, limits and quotas - SecurityContexts - ConfigMaps and Secrets - Understand authentication, authorization and admission control - ServiceAccounts - Discover and use resources that extend Kubernetes (CRD, Operators) |
| Topic 5: Application Observability and Maintenance | 15% | - Implement probes and health checks - Debugging in Kubernetes - Utilize container logs - Use built-in CLI tools to monitor Kubernetes applications - Understand API deprecation policies |
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NEW QUESTION # 23
You are managing a Kubernetes cluster running a highly-available application that uses a custom resource called 'Orders. The 'orders resource is created and managed by a custom controller that ensures the order processing workflow runs flawlessly. However, the 'order' resource's validation rules have changed, requiring a new schema to be applied. How can you ensure that the existing 'Order' resources conform to the new schema without disrupting the application's functionality?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Define the New Schema:
- Create a new CustomResourceDefinition (CRD) file with the updated schema for the 'Order' resource.
- Ensure that the CRD's 'spec-validation.openAPlV3Schema' field includes all the new validation rules.
2. Update the CRD: - Apply the new CRD definition using 'kubectl apply -f order-crd.yaml'. 3. Create a Webhook for Validation: - Define a webhook in your Kubernetes cluster that will be responsible for validating the 'order' resources against the new schema. - Configure the webhook to be invoked during resource creation and update operations.
4. Deploy the Validation Service: - Create a deployment for the validation service that implements the logic for validating the 'Order' resources against the new schema. - The service should expose an endpoint that the webhook can communicate with.
5. Reconcile Existing Resources: - Once the validation webhook and service are deployed, create a temporary job that iterates through all existing 'Order resources. - The job snould validate each resource against tne new schema and automatically update any resources that do not comply.
By following these steps, you can ensure that your 'order' resources conform to the new schema without disrupting the application's functionality The validation webhook prevents new invalid resources from being created, and the reconciliation job ensures that existing resources are updated to meet the new schema requirements. This approach allows for smooth schema evolution and maintains the consistency of your data.,
NEW QUESTION # 24
You have a microservices application where you need to route traffic to different versions of a service based on the 'version' header in the incoming request. For example, if the header is set to 'VI' , the request should be routed to the 'VI' version Of the service, and if it's 'v? , it should be routed to the 'v? version. Design and implement an Ambassador pattern in Kubernetes to achieve this dynamic routing.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create Ambassador Service and Deployment:
- Define an Ambassador service and deployment using the Ambassador chart
- The chart can be found at: https:ngithub.com/datawire/ambassador
- IJpdate the chart to include the Ambassador configuration for dynamic routing based on the 'version' header
2. Configure Ambassador for Header-Based Routing: - Update the Ambassador YAML configuration to define a mapping that uses the 'version' header for routing. - This configuration will specify the mapping from the header value to the corresponding service endpoint.
3. Deploy the Ambassador Configuration: - Create a ConfigMap or Secret in Kubernetes to store the Ambassador configuration- - Then, apply this configuration to your Ambassador deployment. 4. Create the Service Versions: - You need to have separate deployments and services for each version of your application. - Each version will have a unique service name to be referenced in the Ambassador configuration.
5. Test the Routing: - Send requests to the Ambassador service with different 'Version' headers. - Observe the traffic being routed correctly to the corresponding version of the service. bash curl -H 'Version: VI" http://ambassador-service-ip:8080/ curl -H 'Version: v2" http://ambassador-service-ip:8080/ This will route requests to the appropriate service version based on the 'Version' header.,
NEW QUESTION # 25 
Context
A project that you are working on has a requirement for persistent data to be available.
Task
To facilitate this, perform the following tasks:
* Create a file on node sk8s-node-0 at /opt/KDSP00101/data/index.html with the content Acct=Finance
* Create a PersistentVolume named task-pv-volume using hostPath and allocate 1Gi to it, specifying that the volume is at /opt/KDSP00101/data on the cluster's node. The configuration should specify the access mode of ReadWriteOnce . It should define the StorageClass name exam for the PersistentVolume , which will be used to bind PersistentVolumeClaim requests to this PersistenetVolume.
* Create a PefsissentVolumeClaim named task-pv-claim that requests a volume of at least 100Mi and specifies an access mode of ReadWriteOnce
* Create a pod that uses the PersistentVolmeClaim as a volume with a label app: my-storage-app mounting the resulting volume to a mountPath /usr/share/nginx/html inside the pod
Answer:
Explanation:
See the solution below.
Explanation
Solution:
NEW QUESTION # 26 
Task:
A pod within the Deployment named buffale-deployment and in namespace gorilla is logging errors.
1) Look at the logs identify errors messages.
Find errors, including User "system:serviceaccount:gorilla:default" cannot list resource "deployment" [...] in the namespace "gorilla"
2) Update the Deployment buffalo-deployment to resolve the errors in the logs of the Pod.
The buffalo-deployment 'S manifest can be found at -/prompt/escargot/buffalo-deployment.yaml See the solution below.
Answer:
Explanation:
Solution:
NEW QUESTION # 27
You are developing a Kubernetes application that requires dynamic configuration updates. You decide to utilize ConfigMaps to manage these configurations. You have a ConfigMap named 'app-config' containing the following configuration:
Your application retrieves these configuration values from the 'app-config' ConfigMap. You need to update the 'database_password' value without restarting the application pods. How can you achieve this?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Update the ConfigMap:
- Create a new ConfigMap with the updated 'database_password' value.
- Replace "password123" with your new desired password.
- Apply the updated ConfigMap using the following command: bash kubectl apply -f updated_app_config.yaml 2. Verify the Update: - Use the 'kubectl get configmap app-config -o yaml' command to verify that the 'database_password' value has been updated in the ConfigMap. 3. Application Reloads: - Ensure that your application is configured to watch for changes in the ContigMap and automatically reload the configuration when it detects an update. This behavior will depend on your application's code and how it interacts with Kubernetes. Common approaches involve: - Using a sidecar container that watches the ConfigMap for changes. - Integrating with tools like Kubernetes ConfigMap Reloader- This approach allows you to update the without restarting the application pods, minimizing downtime and ensuring a smooth transitiom ,
NEW QUESTION # 28
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