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| Section | Weight | Objectives |
|---|---|---|
| Application Design and Build | 20% | - 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) |
| Services and Networking | 20% | - Use Ingress rules to expose applications - Provide and troubleshoot access to applications via services - Demonstrate basic understanding of NetworkPolicies |
| Application Environment, Configuration and Security | 25% | - ConfigMaps and Secrets - ServiceAccounts - Understand authentication, authorization and admission control - SecurityContexts - Discover and use resources that extend Kubernetes (CRD, Operators) - Understanding and defining resource requirements, limits and quotas |
| Application Observability and Maintenance | 15% | - Debugging in Kubernetes - Utilize container logs - Use built-in CLI tools to monitor Kubernetes applications - Implement probes and health checks - Understand API deprecation policies |
| Application Deployment | 20% | - 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 - Kustomize |
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A Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) practice questions is a helpful, proven strategy to crack the Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) exam successfully. It helps candidates to know their weaknesses and overall performance. Real4test software has hundreds of Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) exam dumps that are useful to practice in real-time. The Linux Foundation Certified Kubernetes Application Developer Exam (CKAD) practice questions have a close resemblance with the actual CKAD exam.
NEW QUESTION # 42
Refer to Exhibit.
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:
Solution:
NEW QUESTION # 43
You have a Deployment named 'bookstore-deployment which deploys a Bookstore application, utilizing a PostgreSQL database. The deployment has 3 replicas. The database server is managed externally. The application is built With a feature to dynamically resize its replica count based on the load- You need to implement a strategy to automatically adjust the replica count to between 2 and 5, based on the CPU utilization of the pods. This should happen without manual intervention.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Horizontal Pod Autoscaler (HPA):
- use the 'kubectl create hpa' command to create an HPA named 'bookstore-hpa'
- Set the 'minRepIicas' to 2 and 'maxRepIic.as' to 5, defining the desired range of replicas.
- Set the 'targetCPlJLJtilizationPercentage' to 70, meaning the replica count will adjust when the average CPU utilization ot the pods crosses 70%.
- Specify the selector to match the 'bookstore-deployment' pods.
2. Apply the HPA: - Run 'kubectl apply -f bookstore-hpa.yamr to create the HPA. 3. Verify the HPA: - Check the status of the HPA using 'kubectl get hpa bookstore-hpa' 4. Observe Replica Adjustment: - Increase the load on the bookstore application to trigger the HPA scaling. - Monitor the replica count of the bookstore-deployment' using 'kL1bectl get deployments bookstore-deployment. You will observe the replica count automatically adjusting based on the CPL] utilization- 5. Customize Scaling Parameters: - You can customize the 'targetCPLJlJtilizationPercentage', 'minReplicas', and 'maxReplicaS in the HPA definition based on the application requirements and desired benavior.
NEW QUESTION # 44
You're tasked with deploying a containerized application that handles sensitive customer datm The security policy mandates that only containers With specific security profiles can access the dat a. How would you implement Pod Security Standards (PSS) in your Kubernetes cluster to enforce this requirement?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Pod Security Policies:
- Create a Pod Security Policy (PSP) resource using a YAML file.
- Define the allowed security profiles based on your security requirements.
- You can restrict things like:
- Container privileges (root or non-root)
- Allowed capabilities (e.g., 'SYS_ADMINS)
- Security context constraints (e.g., read-only root filesystem)
- Access to host resources (e.g., devices, networking)
2. Apply the Pod Security Policy: - Use 'kubectl apply -f sensitive-data-psp.yamr to apply the PSP to your cluster. 3. Modify Your Deployment (or other workload) to IJse the PSP: - Update the Deployment (or other workload) YAML file to include a 'securitycontext' field that references the PSP you created. - Ensure that the container image and configuration adhere to the constraints defined in the PSP.
4. Verify Deployment: - Use ' kubectl get pods -l app=sensitive-data-app' to ensure your pods are running. - The poos should now adhere to the specified security constraints defined by the PSP 5. Enforcement: - Kubernetes will prevent pods from running if they violate the constraints defined in the PSP - This provides a layer of security enforcement for sensitive applications. Note: PSPs are deprecated in Kubernetes 1.25 and are replaced by Pod Security Admission. For newer Kubernetes versions, you would use Pod Security Admission to enforce these security constraints. ]
NEW QUESTION # 45
Context
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh ckad00043
A Deployment needs specific RBAC permissions.
Task
First, find the RBAC permissions needed by the scraper Deployment running in the cute-panda namespace .
it kubectl logs may help you to find the permissions it needs.
Next, create a new ServiceAccount named scraper in the namespace cute-panda.
Answer:
Explanation:
See the Explanation below for complete solution.
Explanation:
ssh ckad00043
You have two deliverables here:
* Figure out what RBAC permissions the scraper Deployment needs (the logs will usually show
"Forbidden" with the missing verb/resource).
* Create a ServiceAccount named scraper in namespace cute-panda (and in practice, you then bind the needed permissions to it and use it in the Deployment so it actually works).
Below is the exact CKAD-style workflow.
1) Find the missing RBAC permissions (use logs + events)
1.1 Identify the pods for the Deployment
kubectl -n cute-panda get deploy scraper
kubectl -n cute-panda get pods -l app=scraper 2>/dev/null || kubectl -n cute-panda get pods Pick one pod name and check logs:
kubectl -n cute-panda logs deploy/scraper --tail=100
If the pod is crashlooping and logs are short:
POD=$(kubectl -n cute-panda get pods -o jsonpath='{.items[0].metadata.name}') kubectl -n cute-panda logs "$POD" --previous --tail=200
1.2 Look specifically for "Forbidden" lines
Most apps print errors like:
* ... is forbidden: User "system:serviceaccount:cute-panda:default" cannot list resource "pods" in API group "" in the namespace "cute-panda"
* or cannot get resource "configmaps"...
* or cannot watch ...
If you don't see it in logs, check events:
kubectl -n cute-panda get events --sort-by=.lastTimestamp | tail -n 30
1.3 Extract verb/resource/apiGroup from the error
From a typical Kubernetes RBAC "forbidden" message, capture:
* verb: get/list/watch/create/update/patch/delete
* resource: pods, configmaps, secrets, deployments, etc.
* apiGroup: "" (core), apps, batch, etc.
* namespace: cute-panda (this is a namespaced permission if it's a Role) You may have multiple "cannot ..." lines # you need to allow all of them.
2) Create the ServiceAccount scraper (required by the task)
kubectl -n cute-panda create serviceaccount scraper
kubectl -n cute-panda get sa scraper
3) Create the RBAC objects to grant the needed permissions
The task says "A Deployment needs specific RBAC permissions" - in CKAD, that usually means: Role + RoleBinding (namespaced) bound to your new ServiceAccount.
3.1 Create a Role (template you fill from the log output)
Create scraper-role.yaml:
cat <<'EOF' > scraper-role.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: scraper-role
namespace: cute-panda
rules:
# EXAMPLE ONLY: replace these rules with what your logs show
- apiGroups: [""]
resources: ["pods"]
verbs: ["get","list","watch"]
EOF
Apply it:
kubectl apply -f scraper-role.yaml
3.2 Bind the Role to the ServiceAccount
kubectl -n cute-panda create rolebinding scraper-rb \
--role=scraper-role \
--serviceaccount=cute-panda:scraper
Verify:
kubectl -n cute-panda get role scraper-role
kubectl -n cute-panda get rolebinding scraper-rb -o yaml
4) Update the Deployment to use the new ServiceAccount (so it actually works) Check current SA (likely default):
kubectl -n cute-panda get deploy scraper -o jsonpath='{.spec.template.spec.serviceAccountName}{"\n"}' Patch it to use scraper:
kubectl -n cute-panda patch deploy scraper -p '{"spec":{"template":{"spec":{"serviceAccountName":" scraper"}}}}' Rollout:
kubectl -n cute-panda rollout status deploy scraper
Re-check logs to confirm RBAC errors are gone:
kubectl -n cute-panda logs deploy/scraper --tail=100
NEW QUESTION # 46
You are running a web application on a Kubernetes cluster, and you want to ensure that thecontainer running your application is protected from potential security vulnerabilities. You are specifically concerned about unauthorized access to the container's filesystem. Explain how you would implement AppArmor profiles to restrict access to the container's filesystem.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define the AppArmor Profile:
- Create a new AppArmor profile file, for example, 'nginx-apparmor.conf, within your Kubernetes configuration directory.
- Within this file, define the restrictions for the container.
- For instance, to allow access to specific directories and files:
# include common AppArmor profile
include /etc/apparmor.d/abstractions/base/nginx.apparmor
# Allow access to specific directories
/var/www/html r,
/etc/nginx r,
# Allow access to specific files
/etc/nginx/nginx.conf r,
/usr/sbin/nginx r,
# Deny access to all other files and directories
Deny
2. Load the AppArmor Profile:
- Use the create configmap' command to create a ConfigMap containing your AppArmor profile:
Bash
kubectl create configmap nginx-apparmor-profile --from-file=nginx-apparmor.conf
3. Apply the Profile to Your Deployment:
- Update your Deployment YAML file to include the AppArmor profile:
4. Restart the Pods: - Apply the updated Deployment YAML using 'kubectl apply -f nginx-deployment.yaml' - The updated deployment will restart the pods with the new AppArmor profile. 5. Verify the Profile: - Check the status of the pods with 'kubectl describe pod - Look for the "Security Context" section and verify that the AppArmor profile is correctly applied. 6. Test the Restrictions: - Try to access files or directories that are not allowed by your AppArmor profile. - This will help you confirm that the profile is effectively restricting access.
NEW QUESTION # 47
......
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