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Linux Foundation CKAD Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Application Observability and Maintenance15%- Use built-in CLI tools to monitor Kubernetes applications
- Implement probes and health checks
- Debugging in Kubernetes
- Utilize container logs
- Understand API deprecation policies
Topic 2: Application Environment, Configuration and Security25%- Understand authentication, authorization and admission control
- Understanding and defining resource requirements, limits and quotas
- SecurityContexts
- ServiceAccounts
- Discover and use resources that extend Kubernetes (CRD, Operators)
- ConfigMaps and Secrets
Topic 3: Application Design and Build20%- Choose and use the right workload resource (Deployment, DaemonSet, CronJob, etc.)
- Define, build and modify container images
- Utilize persistent and ephemeral volumes
- Understand multi-container Pod design patterns (e.g., sidecar, init and others)
Topic 4: Services and Networking20%- Demonstrate basic understanding of NetworkPolicies
- Provide and troubleshoot access to applications via services
- Use Ingress rules to expose applications
Topic 5: Application Deployment20%- Kustomize
- Use Kubernetes primitives to implement common deployment strategies (e.g., blue/green or canary)
- Use the Helm package manager to deploy existing packages
- Understand Deployments and how to perform rolling updates

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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q48-Q53):

NEW QUESTION # 48
You need to configure a Kubemetes Deployment to use a service account to access resources in a specific namespace. How can you create and assign a service account to your deployment, and how can you configure the service account to access resources in a different namespace?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Service Account:
- Create a service account in the namespace where your deployment will run:

- Apply this YAML file using: bash kubectl apply -f service-account-yaml 2 Create a Role and Role8inding: - Define a role in the target namespace that the service account should have access to:

- Create a RoleBinding to bind the role to the service account:

- Apply the Role and Role8inding YAML files using: bash kubectl apply -f role-yaml kubectl apply -f rolebinding.yaml 3. Modify your Deployment: - Update your Deployment YAML file to use the service account:

- Apply the updated deployment 4. Verify Access: - You can now use the service account to access resources in the target namespace. For example, you can create a pod that uses the service account and run a command to access resources.


NEW QUESTION # 49
Refer to Exhibit.

Context
It is always useful to look at the resources your applications are consuming in a cluster.
Task
* From the pods running in namespace cpu-stress , write the name only of the pod that is consuming the most CPU to file /opt/KDOBG030l/pod.txt, which has already been created.

Answer:

Explanation:
Solution:


NEW QUESTION # 50
You have a container image for your application that includes both the application code and its dependencies. However, you've noticed that the image size is becoming increasingly large. How would you optimize tne container image to reduce its size and improve deployment efficiency?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify and remove unnecessary files: Review the contents ot the image to identify any files that are not required at runtime. This may include development tools, build scripts, documentation, or temporary files. I-Jse a tool like 'docker history' to see the layers of the image and identify unnecessary additions.
2. Optimize build steps: Analyze your Dockerfile and identify any unnecessary commands or layers that contribute to image size. For instance, using multi-stage builds to separate build dependencies from runtime dependencies can significantly reduce image size.
3. Use smaller base images: Choose a leaner base image like 'alpine' or 'scratch' (for minimal environments) instead of a large, bloated base image like 'ubuntu' or 'centos'. Smaller base images offer a significant advantage in terms ot image size-
4. Compress files: Compress static assets, such as configuration files or log files, using tools like 'gzip' or 'bzip2 to reduce their size.
5. Employ a package manager for dependencies: Utilize a package manager like 'apt-gets or 'yum' to install necessary libraries and dependencies. This helps streamline the installation process and optimize package selection.
Example:
Original Dockefflle:
FROM ubuntu:latest
# Install dependencies
RUN apt-get update && \
apt-get install -y python3 python3-pip
# Copy application code and dependencies
COPY - /app
# Run application
CMD ["pytnon3", "/app/app.py"]
Optimized Dockerfile with multi-stage build:
FROM python:3.9-alpine AS builder
# Install dependencies
COPY requirements.txt lapp,/
RUN pip install -r /app/requirements.txt
# Build the application
COPY . /app
RUN python setup.py build
FROM scratch AS runtime
# Copy the compiled application
COPY --from-builder /app/build /app
# Run the application
CMD ["/app/app"]
This optimized Dockerfile uses a smaller base image ('pytnon.3.9-alpineS), leverages multi-stage builds to separate build dependencies from runtime dependencies, and copies only the necessary compiled application to the final image. This results in a significantly smaller container image., You nave a critical batch job tnat processes large amounts of data daily. The job needs to run at a specific time every day, even if the Kubernetes cluster is restarted. Explain how you would design and implement this job using Kubernetes Jobs and CronJobs to ensure reliable execution.


NEW QUESTION # 51
Context

Task:
The pod for the Deployment named nosql in the craytisn namespace fails to start because its container runs out of resources.
Update the nosol Deployment so that the Pod:
1) Request 160M of memory for its Container
2) Limits the memory to half the maximum memory constraint set for the crayfah name space.

Answer:

Explanation:
Solution:




NEW QUESTION # 52
You are running a critical application in Kubernetes tnat requires nign availability and IOW latency. The application uses a statefulset With 3 replicas, each consuming a large amount of memory. You need to define resource requests and limits for the pods to ensure that the application operates smoothly and doesn't get evicted due to resource constraints.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Determine Resource Requirements:
- Analyze tne application's memory usage. Determine tne average memory consumption per pod and the peak memory usage.
- Consider the resources available on your Kubernetes nodes.
- Define realistic requests and limits based on the application's needs and available node resources.
2. Define Resource Requests and Limits in the StatefuISet:
- Update the StatefuISet YAML configuration with resource requests and limits for the container.
- requests: Specifies the minimum amount of resources the pod will request
- limits: Specifies the maximum amount of resources the pod can use.

3. Apply the StatefulSet Configuration: - Apply the updated StatefulSet configuration to your Kubernetes cluster: bash kubectl apply -f my-critical-app-statefulset.yaml 4. Monitor Resource Usage: - Use 'kubectl describe pod' to monitor the resource usage of the pods. - Ensure that the pods are utilizing the requested resources and not exceeding the limits.


NEW QUESTION # 53
......

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