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Linux Foundation CKAD Exam Questions - Choice Of Certified Professionals [2025]

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Most Probable Real Linux Foundation Exam Questions in Linux Foundation CKAD PDF Format

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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q187-Q192):

NEW QUESTION # 187
You have a multi-container Pod that needs to perform some initialization tasks before the main application containers Stan. These tasks involve setting up a database connection, downloading a configuration file, or running some pre-flight checks. Design a Pod configuration that utilizes an init container to handle these tasks before tne main application containers start Ensure that your solution includes the necessary steps to handle potential errors encountered during the initialization process.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create an init container: Define an init container within your Pod's spec. This container will be responsible for running the initialization tasks before your main application containers start.

2. Define the init container image: Create a Docker image specifically for your init container. This image should contain all the necessary tools and scripts to perform your initialization tasks. basn # Create a Dockerfile for the init container FROM ubuntu:latest RUN apt update && apt install -y mysql-client # (add your initialization tasks here) CMD ["echo", "Database connected"] # Build the Docker image docker build -t example/init-script:latest . 3. Handle potential errors: Use a "lifecycle" nook to handle any errors during tne init container execution. This ensures that if the init container fails, the Pod is restarted, and the initialization process is retried.

This example demonstrates the "poststart" lifecycle hook, which ensures the main application container only starts after the init container successfully completes. 4. Define resources for the init container: Specifr,' resource requirements for your init container (CPU, memory, etc.). This ensures that the initialization process doesn't impact your main application containers resource availability 5. Configure the main application container: Make sure your main application containers configuration is aware of the init containers actions (e.g., the database connection details are available). 6. Monitor and troubleshoot: Monitor your Pod's status to ensure the init container runs successfully. If errors occur, analyze logs from the init container to identify and address the issues. This configuration ensures that your init container executes the initialization tasks before your main application containers start, and provides a mechanism to handle errors during the initialization process.

NEW QUESTION # 188

Task
A deployment is falling on the cluster due to an incorrect image being specified. Locate the deployment, and fix the problem.

Answer:

Explanation:
See the solution below
Explanation
create deploy hello-deploy --image=nginx --dry-run=client -o yaml > hello-deploy.yaml Update deployment image to nginx:1.17.4: kubectl set image deploy/hello-deploy nginx=nginx:1.17.4

NEW QUESTION # 189
You have a Deployment named 'my-app-deployment running a Flask application. You want to add a liveness probe that checks if the Flask application is responding on port '5000' and a readiness probe that checks if the application is ready to receive requests. Implement these probes using Kustomize.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a base Deployment configuration:

2. Create a 'kustomization.yamr file:

3. Create 'patcnes/liveness-probe.yaml':

4. Create 'patches/readiness-probe-yaml':

5. Apply the Kustomize configuration: bash kustomize . I kubectl apply -t- - Liveness probe: This probe checks if the application is still alive and running. It uses a TCP socket to connect to port ' 5000' and waits for 15 seconds before making the first cneck. It checks every 20 seconds, and if it fails 3 times in a row, the pod is restarted. - Readiness probe: This probe checks if the application is ready to receive requests. It also uses a TCP socket to connect to port '5000'. It checks every 10 seconds and waits for 5 seconds before the first check. If it fails 2 times in a row, the pod is marked as unhealthy and excluded trom receiving traffic. Note: Make sure your Flask application is actually listening on port '5000' and responding to requests. ,

NEW QUESTION # 190
You have a Kubernetes cluster running a microservices application. The application nas a set of microservices deployed as Deployments, each with their own set of resource requests and limits- You want to implement a monitoring system to track the resource utilization of these microservices.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Install Prometheus: Prometheus is an open-source monitoring system that collects and stores metrics. You can install Prometheus in your Kubernetes cluster using a Deployment:

2 Create a ConfigMap for Prometheus: Define a ConfigMap to configure Prometheus with the desired scrape targets and other settings:

3. Create a Service for Prometheus: Create a Service to expose Prometheus outside the cluster:

4. Install Grafana: Grafana is a popular open-source dashboard and visualization tool. You can install Grafana in your Kubernetes cluster using a Deployment:

5. Create a ConfigMap for Grafana: Create a ConfigMap to configure Grafana with Prometheus as the data source:

6. Create a Service for Grafana: Create a Service to expose Grafana outside the cluster:

T Configure Gratana: Access the Grafana web interface (using the LoadBalancer IP address) and configure a new data source for Prometheus. Specify the Prometheus Service address. 8. Create Dashboards: Create dashboards in Gratana to visualize the metrics collected by Prometheus. You can create dashboards for individual microservices, showing metrics like CPU usage, memory usage, network traffic, and response times. 9. Monitor Your Microservices: Once you have dashboards set up, you can monitor your microservices' resource utilization and performance in real time. use Grafana's alerting features to be notified of any issues or potential problems. ,

NEW QUESTION # 191
Context

Task
A Deployment named backend-deployment in namespace staging runs a web application on port 8081.

Answer:

Explanation:
Solution:

NEW QUESTION # 192
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Biography

Linux Foundation CKAD Exam Questions - Choice Of Certified Professionals [2025]

Most Probable Real Linux Foundation Exam Questions in Linux Foundation CKAD PDF Format

Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q187-Q192):

2025 CKAD – 100% Free Reliable Test Guide | Authoritative Test Linux Foundation Certified Kubernetes Application Developer Exam Lab Questions

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