PASS GUARANTEED CKA - CERTIFIED KUBERNETES ADMINISTRATOR (CKA) PROGRAM EXAM–EFFICIENT VALID EXAM SAMPLE

Pass Guaranteed CKA - Certified Kubernetes Administrator (CKA) Program Exam–Efficient Valid Exam Sample

Pass Guaranteed CKA - Certified Kubernetes Administrator (CKA) Program Exam–Efficient Valid Exam Sample

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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q19-Q24):

NEW QUESTION # 19
You have a Deployment running an application that requires a specific network policy. How can you define a network policy that allows only traffic from Pods belonging to the same namespace as the application and denies all other traffic?

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Network Policy Definition:

2. Explanation: - 'apiVersion: networking.k8s.io/v1 ' : Specifies the API version for NetworkPolicy resources. - 'kind: NetworkPolicy': Specifies that this is a NetworkPolicy resource. - 'metadata.name: allow-same-namespace': Sets the name of the NetworkPolicy. - 'metadata.namespace: Specifies the namespace where the NetworkPolicy is applied. Replace " with the actual namespace where your deployment is running. - 'spec.podSelector: {F: This empty podSelector means the NetworkPolicy applies to all Pods in the namespace. - 'spec.ingress': This section defines the rules for incoming traffic. - 'spec.ingress.from.podSelector: {F: This allows traffic from any Pods within the same namespace. 3. How it works: - This NetworkPolicy allows incoming traffic only from Pods within the same namespace where the Deployment is running. It explicitly denies all other traffic, effectively isolating the application to communication only within its namespace. 4. Implementation: - Apply the YAML using 'kubectl apply -f allow-same-namespace.yaml' 5. Verification: After applying the NetworkPolicy, test the communication between Pods within the same namespace and Pods in other namespaces. You should observe that the NetworkPolicy successfully enforces the defined restrictions.


NEW QUESTION # 20
Monitor the logs of pod foo and:
* Extract log lines corresponding to error
unable-to-access-website
* Write them to/opt/KULM00201/foo

Answer:

Explanation:
See the solution below.
Explanation
solution


NEW QUESTION # 21
Create a Pod nginx and specify both CPU, memory requests and limits together and verify.

  • A. kubectl run nginx-request --image=nginx --restart=Always --dryrun -o yaml > nginx-request.yml
    // add the resources section and create
    apiVersion: v1
    kind: Pod
    metadata:
    labels:
    run: nginx
    name: nginx-request
    spec:
    containers:
    - image: nginx
    name: nginx
    resources:
    requests:
    memory: "100Mi"
    cpu: "0.5"
    limits:
    memory: "200Mi"
    cpu: "1"
    restartPolicy: Always
    k kubectl apply -f nginx-request.yaml
    // Verify
    Kubectl top po
  • B. kubectl run nginx-request --image=nginx --restart=Always --dryrun -o yaml > nginx-request.yml
    // add the resources section and create
    apiVersion: v1
    kind: Pod
    metadata:
    labels:
    run: nginx
    name: nginx
    resources:
    requests:
    memory: "100Mi"
    cpu: "0.4"
    limits:
    memory: "200Mi"
    cpu: "7"
    restartPolicy: Always
    k kubectl apply -f nginx-request.yaml
    // Verify
    Kubectl top po

Answer: A


NEW QUESTION # 22
You are running a critical application on Kubernetes that requires high availability. To ensure the application stays operational even if one or more nodes experience failures, you decide to implement a pod anti-affinity rule. Explain how you can configure an anti-affinity rule to prevent pods from being scheduled on the same node.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Define the Anti-Affinity Rule: Add an 'affinity' section to the 'spec.template.spec' of your Deployment or StatefulSet. Within , define a podAntiAffinity' section, specifying that pods with the same label should not be placed on the same node.

2. Use 'requiredDuringSchedulinglgnoredDuringExecution': The 'requiredDuringSchedulinglgnoredDuringExecutioru section ensures that the rule is enforced during pod scheduling. Once a pod is scheduled, the rule is ignored. This ensures that even if a node fails, the remaining pods are not affected. 3. Set 'topologyKey': The 'topologyKey' is set to 'kubernetes.io/hostname'. This tells Kubernetes to consider the node's hostname for pod placement. It will prevent pods with the label 'app: my-critical-app' from being scheduled on the same node. 4. Verify the Deployment: Apply the YAML file to your cluster using 'kubectl apply -f my-critical-app.yaml'. You can then check the status of your Deployment using 'kubectl get pods -l app=my-critical-app' to verify that the pods are distributed across different nodes.


NEW QUESTION # 23
Create a snapshot of the etcd instance running at https://127.0.0.1:2379, saving the snapshot to the file path /srv/data/etcd-snapshot.db.
The following TLS certificates/key are supplied for connecting to the server with etcdctl:
CA certificate: /opt/KUCM00302/ca.crt
Client certificate: /opt/KUCM00302/etcd-client.crt
Client key: Topt/KUCM00302/etcd-client.key

Answer:

Explanation:
solution


NEW QUESTION # 24
......

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