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First-grade Linux Foundation CKAD Positive Feedback | Try Free Demo before Purchase

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Linux Foundation Certified Kubernetes Application Developer (CKAD) certification exam is designed to test a candidate's knowledge and skills in developing cloud-native applications on Kubernetes. Kubernetes is an open-source container orchestration system that has become the de facto standard for managing containerized applications in production environments. As the demand for Kubernetes skills increases, the CKAD certification is becoming a popular choice for developers who want to demonstrate their expertise in Kubernetes application development.

The CKAD Certification Exam is a hands-on exam that covers a wide range of topics related to Kubernetes application development. This includes deploying and configuring applications, creating and managing Kubernetes objects, troubleshooting applications, and working with Kubernetes APIs. CKAD exam is designed to test the developer's ability to work with Kubernetes in a real-world scenario, and requires the use of command line tools and Kubernetes APIs.

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New CKAD Exam Format | Latest CKAD Dumps Book

The Linux Foundation CKAD exam questions pdf is properly formatted to give candidates the asthenic and unformatted information they need to succeed in the CKAD exam. In addition to the comprehensive material, a few basic and important questions are highlighted and discussed in the CKAD Exam Material file. These questions are repeatedly seen in past Linux Foundation Certified Kubernetes Application Developer Exam exam papers. The Linux Foundation Certified Kubernetes Application Developer Exam practice questions are easy to access and can be downloaded anytime on your mobile, laptop, or MacBook.

Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q71-Q76):

NEW QUESTION # 71
Context

Task:
Create a Pod named nginx resources in the existing pod resources namespace.
Specify a single container using nginx:stable image.
Specify a resource request of 300m cpus and 1G1 of memory for the Pod's container.

Answer:

Explanation:
Solution:

NEW QUESTION # 72
You are developing a microservice that communicates with a message broker to process asynchronous events. You want to implement a robust and reliable communication pattern using Kubemetes. How can you set up a Kubernetes deployment for this scenario?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Deploy the Message Broker:
- Deploy the message broker of your choice (e.g., RabbitMQ, Kafka, etc.) using a 'Deployment and a 'Service'
- Configure the broker with the necessary settings, such as authentication, security, and message queues.
2 Create a Microservice Deployment
- Create a ' Deployments for your microservice.
- Define a container that runs your microservice application and includes the necessary dependencies tor interacting with the message broker
3. Use a ConfigMap for Broker Credentials:
- Create a 'ConfigMap' to store sensitive information like the brokers connection string, username, and password.
- Mount this 'ConfigMap' as a volume into the microservice container.

4. Configure Communication with the Broker: - Configure your microservice to connect to the message broker using the credentials from the mounted 'configMap' - Set up a consumer to receive messages from the appropriate queue and a producer to send messages to the required queue. 5. Utilize a Service for Broker Connectivity: - Create a 'Service' of type 'ClusterlP' that exposes the message broker within the Kubernetes cluster. - Ensure that the microservice container can access the broker through this service. 6. Consider a Sidecar Container: - Optionally, you can use a sidecar container to manage communication with the broker. - The sidecar container can act as a proxy or middleware, handling connections, authentication, and other tasks related to message broker communication. 7. Implement Robust Communication: - Implement retries and backoff mechanisms in your code to handle temporary network failures or broker outages. - Consider using a dedicated message broker client library that provides features like message acknowledgement, transaction support, and fault tolerance. Note: This approach ensures reliable communication between the microservice and the message broker. The use of a 'ConfigMap' for credentials, a dedicated service for broker connectivity, and the optional sidecar container contribute to a robust and scalable solution for asynchronous event processing.

NEW QUESTION # 73
You are tasked with deploying a stateful application, a distributed database, that requires persistent storage and consistent ordering of pods. The application's pods need to communicate With each other using a specific port (5432). How would you configure a StatefulSet to achieve this?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the StatefulSet YAML:

2. Create a PersistentVolumeClaim (PVC):

3. Apply the StatefulSet and PVC: bash kubectl apply -f statefulset.yaml kubectl apply -f pvc.yaml 4. Check the StatefuISet and Pods: bash kubectl get statefulsets my-database kubectl get pods -l app=my-database - StatefulSet This defines the desired state for the database pods, ensuring tneir order and persistent storage. - serviceName: This field defines the service name used to access the database instances. - replicas: Defines the desired number of database instances (3 in this example). - selector: Matches pods with the "app: my-database" label. - template: Defines the pod template to use for each instance. - containers: Contains the database container definition. - ports: Exposes the database's internal port (5432) to the outside world. - volumeMounts: Mounts the persistent volume claim to the container's storage directory. - volumes: Defines the volume to use, in this case, a persistent volume claim. - persistentVolumeClaim: Links the StatefulSet to the PVC- - PVC (my-database-pvc): Requests a persistent volume of 1 Gi for each database pod. This ensures data persistence between restarts. - accessM0des: ReadWriteOnce: Allows only one pod to access the volume at a time. - resources-requests-storage: Specifies the storage request for each PVC- This setup ensures that each database pod: - Has a unique name based on its ordinal position within the StatefulSet - Has persistent storage using the PVC. - Can communicate with otner pods through the defined service. - Maintains consistent ordering, essential for distributed database functionality

NEW QUESTION # 74
Context

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:
Solution:

NEW QUESTION # 75
You nave a microservice tnat iS constantly updated With new features and bug fixes. You want to deploy new versions of this service in a way that minimizes downtime and avoids disrupting the existing application. Explain how you can use Kubernetes features to achieve this goal.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use a Deployment:
- Create a 'Deployment' object to manage your microservice.
- Specify the desired number of replicas and the container image.
- Use a 'rollinglJpdate' strategy to control the update process.

2. Control Rollout Pace: - Use the maxSurge' and 'maxlJnavailable' parameters to control the number of pods that can be unavailable or created during the update process. - For example, 'maxi-Inavailable: ensures that no pods are unavailable during tne update, while 'maxSurge: 1' allows for one extra pod to be created during the update. 3. Trigger Automatic Updates: - Use a 'Deployment's 'spec-template-spec-imagePullPolicy' to trigger updates automatically when a new image is available. - Set imagePullPolicy: Always' to force a pull of the image each time the deployment is updated. 4. Monitor Rollout Progress: - Use kubectl get pods -l app=my-microservice' to monitor the rollout progress. - You can also use tne 'kubectl rollout status deployment/my-microservice' command to get detailed information about the rollout. 5. Use Liveness and Readiness Probes: - Define liveness and readiness probes to ensure that containers are healthy and ready to serve traffic. - The 'Deployment' will automatically restart unhealthy containers, while readiness probes will ensure that new pods are only considered ready for traffic once they are healtny. 6. Traffic Routing: - Use a 'Service' to expose your 'Deployment' to external clients. - Configure the 'Service' to use a 'LoadBalancer' or 'NodePort' to make the service accessible from outside the cluster. Note: This approach ensures a smooth rollout with minimal downtime. New pods are created with the new image, and traffic is gradually shifted to the updated pods while the old pods are gracefully terminated. The liveness and readiness probes ensure that only healthy pods receive traffic, and the automatic updates triggered by 'imagePullPolicy: Always' keep the service up-to-date.

NEW QUESTION # 76
......

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