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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q160-Q165):

NEW QUESTION # 160
You have a Deployment named that runs 3 replicas of a Wordpress container. You need to implement a rolling update strategy that allows for a maximum or two pods to be unavailable at any given time during the update process. Additionally, you want to ensure that the update process is triggered automatically whenever a new image is pushed to the Docker Hub repository 'wordpress/wordpress:latest'.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. IJPdate the Deployment YAMLI
- Update the 'replicas to 2.
- Define 'maxunavailable: 2 and 'maxSurge: O' in the 'strategy.rollingupdate' section to control the rolling update process.
- Configure a 'strategy-type' to 'RollinglJpdate' to trigger a rolling update when the deployment is updated.
- Add a 'spec-template-spec-imagePullPolicy: Always" to ensure that the new image is pulled even if it exists in the pod's local cache.

2. Create the Deployment - Apply the updated YAML file using 'kubectl apply -f wordpress-deploymentyamr 3. Verify the Deployment: - Check the status of the deployment using 'kubectl get deployments wordpress-deployment to confirm the rollout and updated replica count. 4. Trigger the Automatic Update: - Push a new image to the 'wordpress/wordpress:latest' Docker Hub repository. 5. Monitor the Deployment: - Use 'kubectl get pods -l app=wordpress' to monitor the pod updates during the rolling update process. You will observe that two pods are terminated at a time, while two new pods with the updated image are created. 6. Check for Successful Update: - Once the deployment is complete, use 'kubectl describe deployment wordpress-deployment' to see that the 'updatedReplicas' field matches the 'replicas' field, indicating a successful update.


NEW QUESTION # 161
You are developing a microservices application and want to deploy it to Kubernetes using Helm. You have two services: 'user-service and 'order-service. The 'order-service depends on the "user-service'. How would you use Helm to manage these deployments, ensuring that the 'order- service' only starts after the 'user-service' is successfully deployed and running?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Helm Chart for Each Service:
- 'user-service' chart:
- Create a 'values.yamr file for the 'user-service' chart.
- Define the container image, resources, and any other necessary configurations for the 'user-service'.
- 'order-service' chart:
- Create a 'values-yamr file for the 'order-service' chart
- Define the container image, resources, and any other necessary configurations for the 'order-service'
- In tne 'values.yamr, add a dependency on the 'user-service' chart.

2. Configure Helm for Dependency Management: - Use the '-dependency-update' flag to ensure that Helm automatically updates the 'user-service chart before deploying the 'order-service' bash helm dependency update order-service 3. Deploy the Services Using Helm: - Deploy the 'user-service chart: bash helm install user-service Juser-service - Deploy the 'order-service' chart: bash helm install order-service ./order-service - Helm will automatically handle the dependency between the services, ensuring that the 'user-services is deployed before the 'order-service' 4. Verify Deployment and Dependency: - Use ' kubectl get pods -l app=user-service' and 'kubectl get pods -l app=order-service' to verify that the pods are running. - You Should observe that the 'user-service' pods are up and running before the 'order-services pods start. - You can also use 'kubectl describe pod' to see the pod events and confirm that the 'order-service' pod is waiting for the 'user-service' to be ready before starting.,


NEW QUESTION # 162
You have a Kubernetes application that requires configuration values to be injected into the application's environment variables. You want to manage these configuration values centrally and allow for easy updates and versioning. You are considering using Kustomize to achieve this.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a base configuration file:
- Define the base configuration values in a file named 'base-yaml'

2. Create a Kustomjzation file: - Create a file named ' kustomization.yaml' to define the Kustomize configuration:

3. Create an overlay for development environment - Create a directory named 'dev' and create a 'kustomization.yamr file within it:

- Create a 'patch.yaml' file within the 'devs directory to override the base configuratiom

4. Apply the configuration: - To apply the base configuration, use: bash kubectl apply -k - To apply the configuration for the development environment, use: bash kubectl apply -k dev 5. Verify the configuration: - You can verify the applied configuration by listing the ConfigMaps: bash kubectl get configmaps -n my-app-namespace - You can View tne specific configuration values using Ski-Ibectl get configmap my-app-config -n my-app-namespace -o yaml ,


NEW QUESTION # 163
Exhibit:

Context
You are tasked to create a secret and consume the secret in a pod using environment variables as follow:
Task
* Create a secret named another-secret with a key/value pair; key1/value4
* Start an nginx pod named nginx-secret using container image nginx, and add an environment variable exposing the value of the secret key key 1, using COOL_VARIABLE as the name for the environment variable inside the pod

Answer: A


NEW QUESTION # 164
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

Answer:

Explanation:
See the solution below.
Explanation
Solution:






NEW QUESTION # 165
......

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