CKAD EXAM MATERIAL & LATEST CKAD EXAM TESTKING

CKAD Exam Material & Latest CKAD Exam Testking

CKAD Exam Material & Latest CKAD Exam Testking

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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q31-Q36):

NEW QUESTION # 31
You are building a web application that uses a set of environment variables for configuration. These variables are stored in a ConfigMap named 'app-config' . How would you ensure that the web application pods always use the latest version of the ConfigMap even when the ConfigMap is updated?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create the ConfigMap: Define the ConfigMap with your desired environment variables.

2. Update the Deployment: Modify your Deployment YAML file to: - Use a 'volumeMount' to mount the ConfigMap into the container. - Specify a 'volume' using a 'configMap' source, referencing tne 'app-config' ConfigMap. - Set 'imagePullPolicy: Always' to ensure the pod always pulls the latest container image.

3. Apply the changes: Use 'kubectl apply -f deployment-yamp to update the Deployment 4. Llpdate the ConfigMap: Whenever you need to update the configuration, modify the Sapp-config' ConfigMap using 'kubectl apply -f configmap-yamr 5. Verify changes: Observe the pods for the 'web-app' Deployment. They should automatically restart and pick up the new environment variables from the updated ConfigMap. By setting 'imagePullPolicy: AlwayS , your pods will always pull the latest container image- This ensures that the pod's container always uses the latest code. Additionally, the 'volumeMount' and 'volume detinitions mount tne Sapp-config' ConfigMap into the containers 'letc/config' directory, making the environment variables accessible within the container When you update the ConfigMap, the pod will detect the change and automatically restart, loading the new configuration from the updated ConfigMap. ,


NEW QUESTION # 32
You are building a microservices application with two services, 'user-service' and 'order-service'. Both services have dedicated Dockerfiles for building their container images. You want to optimize the image build process by minimizing the size of the final images. You also want to ensure that the image build process is reproducible and reliable. How can you achieve these goals using Dockerfile best practices and multi-stage builds?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Use Multi-Stage Builds:
- Define two stages in your Dockerfile: a 'build' stage for compiling dependencies and a 'runtime stage for running the final application.
- Copy only the essential files and dependencies from the 'builds stage to the 'runtime' stage.
dockerfile
FROM golang:1.18 as build
WORKDIR /app
COPY . .
RUN go mod download
RUN go build -o user-service .
FROM alpine:latest as runtime
COPY --from-build lapp/user-service fuser-service
CMD ["/user-service"]
2. Minimize Image Size:
- Use a minimal base image: 'alpine:latest' is a lightweight Linux distribution.
- Remove unnecessary files: Use SRIJN apt-get clean' to remove package cache.
- Leverage Docker layers: Separate build steps to minimize the number of layers recreated during subsequent builds.
- Use 'COPY instead of 'ADDS: 'COPY' avoids unpacking archives, making the image smaller.
- Install only required dependencies: use package managers to install only the necessary libraries and tools.
3. Reproducibility and Reliability:
- Define a clear build context: use a ' .dockerignore' file to exclude unnecessary files from the build context.
- Leverage Docker caching: Arrange Dockerfile instructions to maximize the use of cacned layers.
- Use 'go mod vendor to vendor dependencies for improved build reproducibility.
- Use a consistent environment for building images: I-Jse a Dockerfile builder image that is compatible with the development environment.
4. Implement for Both Services:
- Apply the same best practices to the 'order-service' Dockerfile.
- Create a separate Dockerfile for each service and use consistent naming conventions (e.g.
'Dockerfile.user-service', 'Dockerfile-order-service').
5. Test and Validate.
- Build and push the images to a registry-
- Run the services in a Kubernetes cluster and verify their functionality.
- Measure image sizes to confirm that tne optimization efforts nave been successful.
By implementing these steps, you can create smaller, more reproducible, and reliable Docker images for your microservices, leading to faster build times and more efficient deployments.,


NEW QUESTION # 33
You have a container image that uses a specific version of a library. You want to update this library to a newer version while still keeping the previous version available for compatibility purposes. Describe the steps involved in modifying the container image to include both versions of the library without rebuilding the entire application.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Dockerfile:
- Create a new 'Dockerfile' with the following content:

- Replace 'your-library' Witn the actual library name. - Replace 'new-version' and 'old-version' witn tne desired versions. 2. Build the Image: - Build the image using tne DockerTlle: docker build -t updated-image:latest 3. Modify your application code: - Modify your application code to explicitly import the specific version of the library that you want to use. For example: python # Import the new version for new functionality from your_library impon new_functionality # Import the Old version for backward compatibility from your_library import old_functionality # Use the appropriate version of the library based on your requirements 4. IJpdate the Deployment - Modify your Deployment YAML file to use the newly built image:

5. Apply the Changes: - Apply the updated Deployment using kubectl apply -f deployment.yamr 6. Test the Application: - Access your application and ensure it functions correctly with both versions of the library.


NEW QUESTION # 34
You have a Deployment named 'database-deployment' that runs a PostgreSQL database container. You want to enforce the following security restrictions:
- The container should only be allowed to run with the I-IID 1000.
- The container should be able to access a specific hostPath volume mounted at '/db-data' for storing database data.
- The container should not be allowed to escalate privileges.
- The container should only have the 'NET BIND SERVICE capability, allowing it to listen on specific ports.
You need to define a SecurityContext in the Deployment configuration to enforce these restrictions.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the SecurityContext
- Create a 'securitycontext' section within the 'spec-template-spec-containers' block for your 'database-deployment container-
- Set 'runAsIJsers to '1000' to enforce running as UID 1000.
- Set 'allowPrivilegeEscalation' to 'false' to disable privilege escalation-
- In the 'capabilities' sectiom
- Set 'drop' to an array containing all capabilities except 'NET BIND_SERVICE'
- Set 'add' to an array containing 'NET BIND SERVICE
- Define a 'volumeMount' to mount the '/db-data' hostPath volume.
Solution (Step by Step) :
1. Define the SecurityContext:
- Create a 'securityContext' section within the block for your 'database-deployment container.
- Set 'runAslJser' to "1000' to enforce running as UID 1000.
- Set 'allowPriviIegeEscaIation' to 'false' to disable privilege escalation.
- In the 'capabilities' section:
- Set 'drop' to an array containing all capabilities except 'NET BIND SERVICE
- Set 'add' to an array containing
- Define a 'volumeMount' to mount the '/db-data' hostPath volume.

2. Create the Deployment: - Apply the Deployment YAML file using 'kubectl apply -f database-deployment.yaml. - The 'securityContext' restricts the container's benavior and capabilities. - Setting 'runAslJser' to '1000' forces the container to run as the specified UID. - 'allowPrivilegeEscalation' set to 'false' prevents tne container from gaining higner privileges. - The 'capabilities' section controls specific capabilities. 'drop' removes unwanted capabilities, while 'add' grants specific capabilities. In this case, the container is allowed to use the capability, enabling it to bind to specific ports. - The 'volumeMount defines the mount point for the hostPath volume, providing access to the specified directory tor database data. This configuration ensures that the 'database-deployment container runs with the specific IJID, cannot escalate privileges, and only has the 'NET BIND SERVICE' capability, while accessing the hostPath volume for database data. This provides a secure environment for your database container.,


NEW QUESTION # 35

Context
You are asked to prepare a Canary deployment for testing a new application release.
Task:
A Service named krill-Service in the goshark namespace points to 5 pod created by the Deployment named current-krill-deployment

1) Create an identical Deployment named canary-kill-deployment, in the same namespace.
2) Modify the Deployment so that:
-A maximum number of 10 pods run in the goshawk namespace.
-40% of the krill-service 's traffic goes to the canary-krill-deployment pod(s)

Answer:

Explanation:
See the solution below.
Explanation
Solution:

Text Description automatically generated


NEW QUESTION # 36
......

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