FREE PDF QUIZ NEWEST LINUX FOUNDATION - CKAD - EXAM LINUX FOUNDATION CERTIFIED KUBERNETES APPLICATION DEVELOPER EXAM PRICE

Free PDF Quiz Newest Linux Foundation - CKAD - Exam Linux Foundation Certified Kubernetes Application Developer Exam Price

Free PDF Quiz Newest Linux Foundation - CKAD - Exam Linux Foundation Certified Kubernetes Application Developer Exam Price

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Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) questions is a comprehensive solution for CKAD exam preparation, offering a wide range of features designed to help you succeed. The Linux Foundation exam is an essential milestone to achieve the CKAD Certification. With CKAD exam dumps, you'll have access to Linux Foundation CKAD actual questions that are enough to crack the CKAD exam in a short time.

The Linux Foundation CKAD exam consists of a set of performance-based tasks that assess a candidate's proficiency in various aspects of Kubernetes. The tasks include deploying applications, configuring and managing Kubernetes resources, implementing security and networking policies, and troubleshooting issues. CKAD Exam is conducted in a live environment, and candidates need to solve the tasks using a command-line interface, which makes it a real-world test of their skills.

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Each user's situation is different. CKAD simulating exam will develop the most suitable learning plan for each user. We will contact the user to ensure that they fully understand the user's situation, including their own level, available learning time on CKAD Training Questions. Our experts will fully consider the gradual progress of knowledge and create the most effective learning plan on the CKAD exam questions for you.

Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q15-Q20):

NEW QUESTION # 15
You are running a critical application on Kubernetes, and your security team has mandated the use of Pod Security Policies (PSPs) to enhance the security posture of your cluster. You have a Deployment that uses a privileged container for certain tasks. However, PSPs restrict the use of privileged containers. Describe how you can address this challenge while adhering to the security requirements imposed by PSPs.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Privileged Container Tasks: Analyze your Deployment and identify the specific tasks performed by the privileged container. These tasks might involve accessing host resources like devices, manipulating network settings, or interacting with the host kernel directly.
2. Explore Alternative Solutions: Instead of relying on privileged containers, consider alternative approaches to achieve the desired functionality:
- Host Network: If the task requires direct network access, consider using the 'hostNetwork' feature. This grants the container access to the host's network stack but doesn't require privileged mode.
- HostPath Volumes: If the task involves accessing host files or directories, mount them into the container using 'hostPath' volumes.
- SecurityContext: Explore the 'securityContext' options for containers. Options like 'capabilities' can grant limited access to specific host resources.
- Dedicated Service Account: Assign a dedicated Service Account to the Deployment with limited permissions, ensuring the container can only access the required resources.
3. Implement PSP with Allowlist:
- Create a PSP that defines a restricted set of security rules. This PSP should allow:
- The specific tasks that require privileged operations.
- Other essential security measures like restricting host network access, SELinux, and AppArmor configurations.
- Apply the PSP to the namespace where your Deployment is running.
4. Update Deployment: Modify your Deployment configuration to utilize the alternative solutions identified in step 2.
- Replace the privileged container with a non-privileged container.
- Utilize 'hostNetwork', 'hostPatW volumes, or 'securityContext' options as needed.
- Ensure the Deployment is properly configured to use the dedicated Service Account.
5. Test and Validate: Verify that the modified Deployment functions as expected and that the chosen alternative solutions meet the original requirements. Additionally, ensure that the PSP is enforcing the desired security policies.
Example:
Original Deployment (with privileged container):

Modified Deployment (using host network):

PSP with allowlist:

Note: This example illustrates one approach to address the challenge. The specific solution will depend on the nature of the privileged container tasks and the security requirements enforced by your PSP. It's essential to thoroughly understand your application's needs and implement the appropriate security measures to ensure both security and functionality. ,


NEW QUESTION # 16
Refer to Exhibit.

Task:
Modify the existing Deployment named broker-deployment running in namespace quetzal so that its containers.
1) Run with user ID 30000 and
2) Privilege escalation is forbidden
The broker-deployment is manifest file can be found at:

Answer:

Explanation:
Solution:



NEW QUESTION # 17

Task:
Create a Deployment named expose in the existing ckad00014 namespace running 6 replicas of a Pod. Specify a single container using the ifccncf/nginx: 1.13.7 image Add an environment variable named NGINX_PORT with the value 8001 to the container then expose port
8001

Answer:

Explanation:
See the solution below.
Explanation
Solution:

Text Description automatically generated

Text Description automatically generated


NEW QUESTION # 18
You are building a new web application that utilizes a microservice architecture- One of the microservices, 'recommendation-service', is responsible for providing personalized product recommendations to users.
This service uses a machine learning model for generating recommendations based on user purchase history and browsing behavior. The model is trained offline and its weights are stored in a 'model-store' service.
Design a mufti-container Pod for the 'recommendation-service' that incorporates the following considerations:
- The Pod should include a primary container for the 'recommendation-service' application.
- The Pod should include a secondary container that runs the 'model-store' service to provide access to the trained model weights.
- Both containers should share a common volume to ensure that the model weights are available to the 'recommendation-service' container-
- The recommendation-service' snould be able to access the model weignts from the 'model-store' container witnout relying on a network call to another service-
- The recommendation-service' container should be configured to periodically update the model weights from the 'model-store' container when a new version of the model is available.

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 'recommendation-service'
- Set the replicas to for redundancy and scalability.
- Specify the labels Sapp: recommendation-service' for selecting the Pods in the Deployment.
- Create a 'template' section to define the Pod specificatiom

2. Deploy the Resources: - Apply the Deployment using 'kubectl apply -f deployment-yamp 3. Verify the Deployment: - Check the status of the Deployment using 'kubectl get deployments recommendation-service and ensure that three Pods are running. 4. Contigure the 'recommendation-service' - Modify the 'recommendation-service application to load the model weights from the specified path ClmodeVIatest-modeI_weightS). - Implement a mechanism within the 'recommendation-service to periodically check tor updated model weights in the shared volume. 5. Configure the 'model-store service: - Ensure that the model-store service is properly configured to store and retrieve the model weights. - Implement a mechanism in the 'model-store' service to notify the 'recommendation-service when a new model version is available. This notification can be achieved using a shared volume or a separate messaging system. 6. Test the Application: - Send requests to the 'recommendation-service' to generate recommendations. - Monitor the 'model-store' service and the shared volume to verify that the model weights are being updated correctly and the recommendation- service' is using the latest model version. Important Considerations: - Ensure that the 'recommendation-service' application is properly configured to access and load the model weights from the shared volume. - Implement a robust model management strategy, including versioning and rollback mechanisms, to ensure that the recommendation-service always uses the appropriate model. - Consider using a dedicated model store service that provides a dedicated API for retrieving and updating model weights. This can simplify the communication between the 'recommendation-service' and the model store. - Monitor the performance and resource usage of both services to ensure optimal performance.,


NEW QUESTION # 19
You have a Deployment for a web application that uses a separate Redis cache pod for session management. You want to ensure that each web application pod can access a dedicated Redis instance for session management and avoid contention. Explain how you can use a PersistentVolumeClaim and StatetulSet to achieve this.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
I). Create a PersistentVoIumeClaim:
- Create a PersistentVoIumeCIaim (PVC) to request persistent storage for each Redis instance.
- Specify the storage size, access modes, and other requirements based on your needs.
- Example:

2. Create a StatefulSet: - Define a StatefulSet for the Redis pods. - Associate each Redis pod with a unique PVC, ensuring that each pod gets its own dedicated persistent volume. - Example:

3. Configure the Deployment: - Denne tne web application pod Within a Deployment. - Use a Service (e.g., 'redis-service') to access the Redis instances. - Make sure the web application's code can access the Redis instances using the service name. - Example:

4. Deploy and Test - Deploy tne PersistentVolumeClaim, StatefulSet, and Deployment. - Test the web application to ensure that each pod can access its own dedicated Redis instance and session data is correctly managed Without contention. 5. Important: - StatefulSets ensure that each pod has a unique hostname and persistent storage, making them suitable for managing stateful applications. - This approach helps isolate Redis instances, preventing session data conflicts and ensuring the scalability of your web application. ,


NEW QUESTION # 20
......

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