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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Application Design and Build | 20% | - Define, build and modify container images - Understand multi-container Pod design patterns (e.g., sidecar, init and others) - Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.) - Utilize persistent and ephemeral volumes |
| Topic 2: Application Observability and Maintenance | 15% | - Understand API deprecation policies - Debugging in Kubernetes - Utilize container logs - Implement probes and health checks - Use built-in CLI tools to monitor Kubernetes applications |
| Topic 3: Application Deployment | 20% | - Understand Deployments and how to perform rolling updates - Kustomize - Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary) - Use the Helm package manager to deploy existing packages |
| Topic 4: Application Environment, Configuration and Security | 25% | - Understanding and defining resource requirements, limits and quotas - ConfigMaps and Secrets - SecurityContexts - Understand authentication, authorization and admission control - Discover and use resources that extend Kubernetes (CRD, Operators) - ServiceAccounts |
| Topic 5: Services and Networking | 20% | - Demonstrate basic understanding of NetworkPolicies - Provide and troubleshoot access to applications via services - Use Ingress rules to expose applications |
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NEW QUESTION # 196
You are deploying a sensitive application that requires strong security measures. You need to implement a solution to prevent unauthorized access to the container's runtime environment. How would you use Seccomp profiles to enforce security policies at the container level?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Seccomp Profile:
- Create a new YAML file (e.g., 'seccomp-profile.yaml') to define your Seccomp profile.
- Specify the name of the Seccomp profile and the namespace where it will be applied.
- Define the allowed syscalls for the container. You can use the 'seccomp' tool or the
'k8s.io/kubernetes/pkg/security/apparmor/seccomp' package to generate the profile.
2. Apply the Seccomp Profile: - Apply the Seccomp profile to your cluster using the following command: bash kubectl apply -f seccomp-profile.yaml 3. Deploy Applications with Seccomp Profile: - Update your Deployment YAML file to include the Seccomp profile:
4. Verify the Seccomp Profile: - Check the status of the pods with 'kubectl describe pod - Look for the "Security Context" section and verify that the Seccomp profile is correctly applied. 5. Test the Restrictions: - Try to access system resources or make syscalls that are not allowed by your Seccomp profile. - Verify that the profile is effectively restricting the container's access to system resources.
NEW QUESTION # 197
You are building a container image for a Python application that requires a specific version of the 'requests' library. Explain how you would incorporate the 'requests' library into your Dockerfile and ensure that the application can access and use it within the container.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Install the 'requests library in the Dockerfile:
- Use the 'RUN' instruction in your Dockerfile to install the library.
- Utilize the 'pip' package manager to install the specific version of requests required by your application.
- Replace with the desired Python base image. - Ensure that the 'requirements-txt file contains the required dependency, specifically 'requests' and its version. - Include the 'COPY' commands to transfer your application code and other files to the container 2. Import and use the 'requests' library in your Python application: - In your Python application code Capp.pys in this example), impon the 'requests' library. - Use the imported library functions to make HTTP requests as needed in your application logic.
3. Build the Docker image: - Execute the 'docker build' command in your terminal, specifying the Dockerfile location and the image tag. docker build -t my-python-app . 4. Run the container: - Use the 'docker run' command to launch the container, providing the image name. docker run -it my-python-app - The container will run your Python application, and the 'requests' library will be available for use within the container environment.
NEW QUESTION # 198
Exhibit:
Given a container that writes a log file in format A and a container that converts log files from format A to format B, create a deployment that runs both containers such that the log files from the first container are converted by the second container, emitting logs in format B.
Task:
* Create a deployment named deployment-xyz in the default namespace, that:
* Includes a primary
lfccncf/busybox:1 container, named logger-dev
* includes a sidecar Ifccncf/fluentd:v0.12 container, named adapter-zen
* Mounts a shared volume /tmp/log on both containers, which does not persist when the pod is deleted
* Instructs the logger-dev
container to run the command
which should output logs to /tmp/log/input.log in plain text format, with example values:
* The adapter-zen sidecar container should read /tmp/log/input.log and output the data to /tmp/log/output.* in Fluentd JSON format. Note that no knowledge of Fluentd is required to complete this task: all you will need to achieve this is to create the ConfigMap from the spec file provided at /opt/KDMC00102/fluentd-configma p.yaml , and mount that ConfigMap to /fluentd/etc in the adapter-zen sidecar container
Answer: B
NEW QUESTION # 199
Refer to Exhibit.
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 # 200
Context
Task:
A Dockerfile has been prepared at -/human-stork/build/Dockerfile
1) Using the prepared Dockerfile, build a container image with the name macque and lag 3.0. You may install and use the tool of your choice.
2) Using the tool of your choice export the built container image in OC-format and store it at -/human stork/macque 3.0 tar
Answer:
Explanation:
Solution:
NEW QUESTION # 201
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