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| Certification Vendor: | Linux Foundation |
|---|---|
| Exam Name: | Certified Kubernetes Security Specialist (CKS) Exam |
| Exam Number: | CKS |
| Related Certifications: | Certified Kubernetes Administrator (CKA) Certified Kubernetes Application Developer (CKAD) |
| Real Exam Qty: | Performance-based tasks (no fixed number) |
| Available Languages: | English |
| Exam Format: | Hands-on lab (Kubernetes environment), Performance-based exam, Terminal-based tasks |
| Certificate Validity Period: | 2 years |
| Exam Price: | USD 395 |
| Passing Score: | Not publicly disclosed |
| Exam Duration: | 120 minutes |
| Recommended Training: | Kubernetes Security Essentials (Linux Foundation Training) CKS Exam Preparation Course |
| Exam Registration: | Linux Foundation Certification Page Linux Foundation Candidate Handbook |
| Sample Questions: | Linux Foundation CKS Sample Questions |
| Exam Way: | Online, proctored, remote performance-based exam |
| Pre Condition: | Valid Certified Kubernetes Administrator (CKA) certification is required |
| Official Syllabus URL: | https://training.linuxfoundation.org/certification/certified-kubernetes-security-specialist/ |
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To be eligible for the CKS certification, candidates must have a current Certified Kubernetes Administrator (CKA) certification or a passing score on the Kubernetes Fundamentals (LFS258) course. The CKS certification exam is a proctored, online exam that consists of 15 to 20 performance-based tasks. Candidates have two hours to complete the exam and must score at least 66% to pass. CKS Exam is available in multiple languages and can be taken from anywhere in the world.
NEW QUESTION # 59
You are running a Kubernetes cluster with a deployment named "my-app" that has been experiencing unexpected crashes. The crash logs indicate that the container's memory consumption is exceeding the resource limits defined in the deployment YAML. Explain how you can utilize the Kubernetes resource quotas and admission controller to prevent this from happening again.
Answer:
Explanation:
Solution (Step by Step) :
1. Create a ResourceQuota:
- Define a ResourceQuota that limits the resources that can be consumed by pods in a specific namespace.
- Specify the limits for CPU, memory, storage, and other resources.
- For example, to limit memory usage to 2Gi per pod in the "my-app" namespace:
2. Enable the Resourceauota Admission Controller: - Ensure that the "Resourceauota" admission controller is enabled in your Kubernetes cluster. This can usually be done by setting the 'admissioncontror flag in the 'kube-apiserver' configuration. 3. Apply the ResourceQuota: - Apply the ResourceQuota to the "my-app" namespace using 'kubectl apply -f resource-quota_yaml 4. Update the Deployment - Modify the deployment's YAML file to specify the resource requests and limits for the container, ensuring they are within the defined ResourceQuota limits. For example:
5. Apply the updated deployment - Apply the updated deployment using 'kubectl apply -f deployment.yaml' 6. Monitor and Evaluate: - Monitor the resource consumption of pods in the "my-app" namespace and adjust the ResourceQuota limits as needed to ensure that your cluster remains stable.
NEW QUESTION # 60
You are managing a Kubernetes cluster With a critical application deployed as a Deployment. You need to ensure that only authorized users can access the Kubernetes API to manage this application's resources. Describe the security measures you would implement to restrict access to the Kubernetes API and ensure only authorized users can manage this specific Deployment
Answer:
Explanation:
Solution (Step by Step):
1. Create a Service Account:
- Create a dedicated Service Account for the application:
2. Configure the Deployment to use the Service Account - Update the Deployment YAML to specify the Service Account:
3. Use RBAC (Role-Based Access Control): - Create a Role and RoleBinding for the Service Account:
4. Apply the Changes: - Apply the YAML configurations using 'kubectl apply -f critical-app.yaml' 5. Restrict Access to the Kubernetes API: - Use kubeconfig files to limit access to the API for specific users or groups. - Use tools like 'kubectl auth can-i' to verify access permissions. 6. Limit Access to Specific Namespaces: - By default, Service Accounts have access to resources in their respective namespaces. - To further restrict access, create a Namespace and limit the Service Account's permissions within that namespace. By implementing these measures, you create a secure environment where only authorized users (through the Service Account) can manage the critical application's Deployment
NEW QUESTION # 61
SIMULATION
You can switch the cluster/configuration context using the following command:
[desk@cli] $ kubectl config use-context qa
Context:
A pod fails to run because of an incorrectly specified ServiceAccount
Task:
Create a new service account named backend-qa in an existing namespace qa, which must not have access to any secret.
Edit the frontend pod yaml to use backend-qa service account
Note: You can find the frontend pod yaml at /home/cert_masters/frontend-pod.yaml
Answer:
Explanation:
See the Explanation belowExplanation:
[desk@cli] $ k create sa backend-qa -n qa
sa/backend-qa created
[desk@cli] $ k get role,rolebinding -n qa
No resources found in qa namespace.
[desk@cli] $ k create role backend -n qa --resource pods,namespaces,configmaps --verb list
# No access to secret
[desk@cli] $ k create rolebinding backend -n qa --role backend --serviceaccount qa:backend-qa
[desk@cli] $ vim /home/cert_masters/frontend-pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: frontend
spec:
serviceAccountName: backend-qa # Add this
image: nginx
name: frontend
[desk@cli] $ k apply -f /home/cert_masters/frontend-pod.yaml
pod created
[desk@cli] $ k create sa backend-qa -n qa
serviceaccount/backend-qa created
[desk@cli] $ k get role,rolebinding -n qa
No resources found in qa namespace.
[desk@cli] $ k create role backend -n qa --resource pods,namespaces,configmaps --verb list role.rbac.authorization.k8s.io/backend created
[desk@cli] $ k create rolebinding backend -n qa --role backend --serviceaccount qa:backend-qa rolebinding.rbac.authorization.k8s.io/backend created
[desk@cli] $ vim /home/cert_masters/frontend-pod.yaml
apiVersion: v1
kind: Pod
metadata:
name: frontend
spec:
serviceAccountName: backend-qa # Add this
image: nginx
name: frontend
[desk@cli] $ k apply -f /home/cert_masters/frontend-pod.yaml
pod/frontend created
https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/
NEW QUESTION # 62
You are running a web application in a Kubemetes cluster- You want to restrict access to the web application's API endpoints to specific IP addresses. Explain how to implement this using Ingress and NetworkPolicy.
Answer:
Explanation:
Solution (Step by Step) :
1. Create an Ingress Resource:
- Create an 'Ingress' resource that defines the rules for routing traffic to the web application.
- This example allows access to the API endpoints '/api/v1' and /api/v2S from the IP addresses '10.0.0.10' and '192.168.1.1'
- It also allows access to the 'r endpoint from any IP address.
2. Create a NetworkPolicy: - Create a 'NetworkPolicy' resource that enforces the IP address restrictions. - This example allows traffic from the IP addresses '10.0.0.10' and '192.168.1. I' to the web application's service. - You can create a more specific policy for each API endpoint if needed.
3. Apply the Resources: - Apply the 'Ingress' and 'NetworkPolicy' resources using 'kubectl apply' - For example: 'kubectl apply -f web-app-ingress.yaml and 'kubectl apply -f web-app-network-policy.yaml 4. Verify the Configuration: - Access the web application's API endpoints from the allowed IP addresses. - Verity that the requests are successful. - Attempt to access the API endpoints from other IP addresses. - Verify that these attempts are blocked.
NEW QUESTION # 63
SIMULATION
Fix all issues via configuration and restart the affected components to ensure the new setting takes effect.
Fix all of the following violations that were found against the API server:- a. Ensure the --authorization-mode argument includes RBAC b. Ensure the --authorization-mode argument includes Node c. Ensure that the --profiling argument is set to false Fix all of the following violations that were found against the Kubelet:- a. Ensure the --anonymous-auth argument is set to false.
b. Ensure that the --authorization-mode argument is set to Webhook.
Fix all of the following violations that were found against the ETCD:-
a. Ensure that the --auto-tls argument is not set to true
Hint: Take the use of Tool Kube-Bench
Answer:
Explanation:
API server:
Ensure the --authorization-mode argument includes RBAC
Turn on Role Based Access Control. Role Based Access Control (RBAC) allows fine-grained control over the operations that different entities can perform on different objects in the cluster. It is recommended to use the RBAC authorization mode.
Fix - Buildtime
Kubernetes
apiVersion: v1
kind: Pod
metadata:
creationTimestamp: null
labels:
component: kube-apiserver
tier: control-plane
name: kube-apiserver
namespace: kube-system
spec:
containers:
- command:
+ - kube-apiserver
+ - --authorization-mode=RBAC,Node
image: gcr.io/google_containers/kube-apiserver-amd64:v1.6.0
livenessProbe:
failureThreshold: 8
httpGet:
host: 127.0.0.1
path: /healthz
port: 6443
scheme: HTTPS
initialDelaySeconds: 15
timeoutSeconds: 15
name: kube-apiserver-should-pass
resources:
requests:
cpu: 250m
volumeMounts:
- mountPath: /etc/kubernetes/
name: k8s
readOnly: true
- mountPath: /etc/ssl/certs
name: certs
- mountPath: /etc/pki
name: pki
hostNetwork: true
volumes:
- hostPath:
path: /etc/kubernetes
name: k8s
- hostPath:
path: /etc/ssl/certs
name: certs
- hostPath:
path: /etc/pki
name: pki
Ensure the --authorization-mode argument includes Node
Remediation: Edit the API server pod specification file /etc/kubernetes/manifests/kube-apiserver.yaml on the master node and set the --authorization-mode parameter to a value that includes Node.
--authorization-mode=Node,RBAC
Audit:
/bin/ps -ef | grep kube-apiserver | grep -v grep
Expected result:
'Node,RBAC' has 'Node'
Ensure that the --profiling argument is set to false
Remediation: Edit the API server pod specification file /etc/kubernetes/manifests/kube-apiserver.yaml on the master node and set the below parameter.
--profiling=false
Audit:
/bin/ps -ef | grep kube-apiserver | grep -v grep
Expected result:
'false' is equal to 'false'
Fix all of the following violations that were found against the Kubelet:- Ensure the --anonymous-auth argument is set to false.
Remediation: If using a Kubelet config file, edit the file to set authentication: anonymous: enabled to false. If using executable arguments, edit the kubelet service file /etc/systemd/system/kubelet.service.d/10-kubeadm.conf on each worker node and set the below parameter in KUBELET_SYSTEM_PODS_ARGS variable.
--anonymous-auth=false
Based on your system, restart the kubelet service. For example:
systemctl daemon-reload
systemctl restart kubelet.service
Audit:
/bin/ps -fC kubelet
Audit Config:
/bin/cat /var/lib/kubelet/config.yaml
Expected result:
'false' is equal to 'false'
2) Ensure that the --authorization-mode argument is set to Webhook.
Audit
docker inspect kubelet | jq -e '.[0].Args[] | match("--authorization-mode=Webhook").string' Returned Value: --authorization-mode=Webhook Fix all of the following violations that were found against the ETCD:- a. Ensure that the --auto-tls argument is not set to true Do not use self-signed certificates for TLS. etcd is a highly-available key value store used by Kubernetes deployments for persistent storage of all of its REST API objects. These objects are sensitive in nature and should not be available to unauthenticated clients. You should enable the client authentication via valid certificates to secure the access to the etcd service.
Fix - Buildtime
Kubernetes
apiVersion: v1
kind: Pod
metadata:
annotations:
scheduler.alpha.kubernetes.io/critical-pod: ""
creationTimestamp: null
labels:
component: etcd
tier: control-plane
name: etcd
namespace: kube-system
spec:
containers:
- command:
+ - etcd
+ - --auto-tls=true
image: k8s.gcr.io/etcd-amd64:3.2.18
imagePullPolicy: IfNotPresent
livenessProbe:
exec:
command:
- /bin/sh
- -ec
- ETCDCTL_API=3 etcdctl --endpoints=https://[192.168.22.9]:2379 --cacert=/etc/kubernetes/pki/etcd/ca.crt
--cert=/etc/kubernetes/pki/etcd/healthcheck-client.crt --key=/etc/kubernetes/pki/etcd/healthcheck-client.key get foo failureThreshold: 8 initialDelaySeconds: 15 timeoutSeconds: 15 name: etcd-should-fail resources: {} volumeMounts:
- mountPath: /var/lib/etcd
name: etcd-data
- mountPath: /etc/kubernetes/pki/etcd
name: etcd-certs
hostNetwork: true
priorityClassName: system-cluster-critical
volumes:
- hostPath:
path: /var/lib/etcd
type: DirectoryOrCreate
name: etcd-data
- hostPath:
path: /etc/kubernetes/pki/etcd
type: DirectoryOrCreate
name: etcd-certs
status: {}
NEW QUESTION # 64
......
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