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Linux Foundation Certified Kubernetes Application Developer (CKAD) Exam is a certification that validates the skills and knowledge of developers working with Kubernetes applications. Kubernetes is an open-source container orchestration system that automates the deployment, scaling, and management of containerized applications. CKAD is a vendor-neutral certification that is recognized by leading technology companies around the world.
The CKAD Exam is specifically designed for developers who are already familiar with Kubernetes and have experience in developing and deploying applications on Kubernetes clusters. CKAD exam is designed to test the practical skills of developers in designing, deploying, and managing Kubernetes-based applications, and it requires candidates to demonstrate their proficiency in using Kubernetes APIs, tools, and resources.
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The CKAD Certification is highly valued in the industry and is recognized as a standard for Kubernetes application development skills. Linux Foundation Certified Kubernetes Application Developer Exam certification demonstrates that a developer has the skills and knowledge required to develop and deploy applications on Kubernetes clusters, and it can help developers stand out in a competitive job market. Linux Foundation Certified Kubernetes Application Developer Exam certification is also a valuable asset for organizations that are looking to hire Kubernetes developers, as it provides a measure of assurance that a candidate has the required skills and knowledge.
Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q77-Q82):
NEW QUESTION # 77
Exhibit:
Task
You have rolled out a new pod to your infrastructure and now you need to allow it to communicate with the web and storage pods but nothing else. Given the running pod kdsn00201 -newpod edit it to use a network policy that will allow it to send and receive traffic only to and from the web and storage pods.
Answer: A
NEW QUESTION # 78
You have a Deployment named 'my-app-deployment' that runs 3 replicas of a Spring Boot application. This application needs to access a PostgreSQL database hosted on your Kubernetes cluster. You need to create a Custom Resource Definition (CRD) to define a new resource called 'Database' to represent the PostgreSQL database instances within your cluster. This CRD should include fields for specifying the database name, username, password, and the host where the database is deployed. Further, you need to configure the 'my- app-deployment' to use the 'Database' resource to connect to the PostgreSQL instance dynamically.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the CRD:
- Create a YAML file named 'database.crd.yaml' to define the "Database' resource:
2. the CRD: - Apply tre 'database.cre.yaml' using 'kubectl "ply -f database.crd.ya'mr 3. Create A Database Instance: - 'eate YAML file 'd:tabaseyarnl' to define a database instance
4. Apply the Database Instance: - Apply the 'database.yaml' using 'kubectl apply -f database.yamr 5. IJpdate the Deployment - Update the Amy-app-deployment.yaml' to use the 'Database' resource:
6. Apply the Updated Deployment: - Apply the updated 'my-app-deployment.yamr using 'kubectl apply -f my-app-deployment.yamr 7. Verify the Configuration: - Use 'kubectl get databases to check the database instance. - Use 'kubectl describe pod -l app=my-app' to verify that the pods are using the values from the 'Database' resource tor connecting to the PostgreSQL database. This approach demonstrates how to utilize CRDs to define custom resources in Kubernetes and how to connect applications dynamically to these resources. The CRO ensures proper definition of the database resource, while the deployment utilizes the 'fieldRef mechanism to access and retrieve database connection details directly from the CRD, enabling dynamic configuration and simplification of application setup.,
NEW QUESTION # 79
You have a Kubernetes deployment named 'my-app' that runs an application with a specific configuration defined in a ConfigMap named 'my-config'. You need to implement a strategy to automatically update tne deployment wnen tne ConfigMap is changed.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a 'ConfigMap' named 'my-configs with the following contents:
2. Create a 'Deployment' named 'my-app' that mounts the 'my-config' ConfigMap as a volume:
3. Apply the ConfigMap and Deployment bash kubectl apply -f configmap.yaml kubectl apply -f deployment.yaml 4. Update the ConfigMap with new values:
5. Apply the updated ConfigMap: bash kubectl apply -f configmap.yaml - The 'kustomization.yamr file defines the resources (the 'deployment_yamr file) and the patches to apply. - The 'deployment_yamr file contains the base configuration for the deployment. - The patch.yamr tile applies a strategic merge patch to the deployment, configuring rolling updates and automatic updates triggered by new images. - The 'maxSurge' and 'maxunavailable' settings in the 'patch_yaml' define the maximum number of pods that can be added or removed during the update process. - The 'imagePullPolicy: Always' ensures that the new image is pulled from Docker Hub even if it exists in the pod's local cache, triggering the update.
NEW QUESTION # 80
Exhibit:
Context
A container within the poller pod is hard-coded to connect the nginxsvc service on port 90 . As this port changes to 5050 an additional container needs to be added to the poller pod which adapts the container to connect to this new port. This should be realized as an ambassador container within the pod.
Task
* Update the nginxsvc service to serve on port 5050.
* Add an HAproxy container named haproxy bound to port 90 to the poller pod and deploy the enhanced pod. Use the image haproxy and inject the configuration located at /opt/KDMC00101/haproxy.cfg, with a ConfigMap named haproxy-config, mounted into the container so that haproxy.cfg is available at /usr/local/etc/haproxy/haproxy.cfg. Ensure that you update the args of the poller container to connect to localhost instead of nginxsvc so that the connection is correctly proxied to the new service endpoint. You must not modify the port of the endpoint in poller's args . The spec file used to create the initial poller pod is available in /opt/KDMC00101/poller.yaml
Answer: B
NEW QUESTION # 81
You are running a microservices application on Kubernetes, and you need to restrict the communication between your services to specific ports. For example, your 'frontend' service should only be allowed to communicate with the 'backend' service on port 8080. How would you configure this using NetworkPolicy in Kubernetes?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the NetworkPolicy:
- Create a new YAML file (e.g., 'frontend-network-policy.yaml') to define the network policy.
- Specify the name of the NetworkPolicy and the namespace where it will be applied.
- Include the following elements within the 'spec' section:
- 'podSelector' to target the 'frontend' pods.
- 'ingress' section to define inbound traffic rules.
- 'egress' section to define outbound traffic rules.
2. Apply the NetworkPolicy: - Apply the NetworkPolicy to your cluster using the following command: bash kubectl apply -f frontend-network-policy.yaml 3. Verify the NetworkPolicy: - Use the 'kubectl get networkpolicy' command to list the applied NetworkPolicies and confirm the status. 4. Test the Restrictions: - From a 'frontend' pod, attempt to connect to the 'backend' service on port 8080. - Attempt to connect to other services or ports on the backend or external networks. - Verify that the communication restrictions defined in the NetworkPolicy are working as expected.
NEW QUESTION # 82
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