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Free Kubernetes Administrator CKA Official Cert Guide PDF Download
The CKA certification exam is aimed at IT professionals who have experience with Kubernetes and want to demonstrate their expertise in managing Kubernetes clusters. CKA exam consists of a set of performance-based tasks that test the candidate's ability to perform common Kubernetes administration tasks, such as deploying and managing applications, configuring and securing Kubernetes clusters, and troubleshooting common issues.
NEW QUESTION # 41
Check to see how many worker nodes are ready (not including nodes tainted NoSchedule) and write the number to /opt/KUCC00104/kucc00104.txt.
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 42
Verify certificate expiry date for ca certificate in /etc/kubernetes/pki
Answer:
Explanation:
openssl x509 -in ca.crt -noout -text | grep -i validity -A 4
NEW QUESTION # 43
Check to see how many worker nodes are ready (not including nodes tainted NoSchedule) and write the number to /opt/KUCC00104/kucc00104.txt.
Answer:
Explanation:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\15 B.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\15 C.JPG
NEW QUESTION # 44
Get list of all the pods showing name and namespace with a jsonpath expression.
Answer:
Explanation:
kubectl get pods -o=jsonpath="{.items[*]['metadata.name' , 'metadata.namespace']}"
NEW QUESTION # 45
To protect your firewall and network from single source denial of service (DoS) attacks that can overwhelm its packet buffer and cause legitimate traffic to drop, you can configure:
- A. PBP (Packet Buffer Protection)
- B. PGP (Packet Gateway Protocol)
- C. PBP (Protocol Based Protection)
- D. BGP (Border Gateway Protocol)
Answer: C
NEW QUESTION # 46
You are setting up a new Kubernetes cluster with a highly sensitive application that requires access control at the pod level. Explain how you can use NetworkPolicy to restrict access to pods within your cluster.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1 . Create a NetworkPolicy Resource: Define a 'NetworkPolicy' resource using a YAML file. The
'NetworkPolicy' resource will contain the rules for network traffic access to the pods. You can use 'kubectl create -f networkpolicy.yaml' to create the NetworkPolicy resource.
2. Set 'podSelectoo: Use the podSelector' field to identify the pods that will be affected by the policy. In this example, we are targeting pods with the label 'app: sensitive-app'. 3. Define 'ingress' and 'egress' Rules: Use the 'ingress' and 'egress' sections to define the rules for incoming and outgoing traffic. 'ingress': This section specifies which pods or services are allowed to send traffic to the pods targeted by the 'NetworkPolicy'. Here, we are allowing traffic from pods labeled app: trusted-service'. 'egress': This section specifies which destinations the pods targeted by the NetworkPolicy are allowed to send traffic to. In this example, we are allowing egress traffic to the IP address range 10.0.0.0/16. 4. Implement the "NetworkPolicy': Apply the YAML file using 'kubectl apply -f networkpolicy.yaml'. Once applied, the NetworkPolicy will be enforced, blocking any traffic that does not meet the specified rules.
NEW QUESTION # 47
Score: 7%
Task
Given an existing Kubernetes cluster running version 1.20.0, upgrade all of the Kubernetes control plane and node components on the master node only to version 1.20.1.
Be sure to drain the master node before upgrading it and uncordon it after the upgrade.
You are also expected to upgrade kubelet and kubectl on the master node.
Answer:
Explanation:
See the solution below.
Explanation
SOLUTION:
[student@node-1] > ssh ek8s
kubectl cordon k8s-master
kubectl drain k8s-master --delete-local-data --ignore-daemonsets --force apt-get install kubeadm=1.20.1-00 kubelet=1.20.1-00 kubectl=1.20.1-00 --disableexcludes=kubernetes kubeadm upgrade apply 1.20.1 --etcd-upgrade=false systemctl daemon-reload systemctl restart kubelet kubectl uncordon k8s-master
NEW QUESTION # 48
Deployment
a. Create a deployment of webapp with image nginx:1.17.1 with
container port 80 and verify the image version
- A. // Create initial YAML file with -dry-run option
kubectl create deploy webapp --image=nginx:1.17.1 --dryrun=client -o yaml > webapp.yaml vim webapp.yaml apiVersion: apps/v1 kind: Deployment metadata:
labels:
app: webapp
name: webapp
spec: replicas: 1 selector: matchLabels: app: webapp template: metadata: labels: app: webapp spec: containers: - image: nginx:1.17.1 name: nginx kubectl create -f webapp.yaml -record=true //Verify Image Version kubectl describe deploy webapp | grep -i "Image" Using JsonPath kubectl get deploy -o=jsonpath='{range.items [*]}{.[*]} {.metadata.name}{"\t"}{.spec.template.spec.containers[*].i mage}{"\n"}' - B. // Create initial YAML file with -dry-run option
kubectl create deploy webapp --image=nginx:1.17.1 --dryrun=client -o yaml > webapp.yaml vim webapp.yaml apiVersion: apps/v1 kind: Deployment metadata:
labels:
app: webapp
name: webapp
spec: replicas: 1 containers: - image: nginx:1.17.1 name: nginx kubectl create -f webapp.yaml -record=true //Verify Image Version kubectl describe deploy webapp | grep -i "Image" Using JsonPath kubectl get deploy -o=jsonpath='{range.items [*]}{.[*]} {.metadata.name}{"\t"}{.spec.template.spec.containers[*].i mage}{"\n"}'
Answer: A
NEW QUESTION # 49
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:
solution
NEW QUESTION # 50
Scale the deployment webserver to
Answer:
Explanation:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\14 B.JPG
NEW QUESTION # 51
You have a Deployment named 'my-app-deployment' running a complex microservice application with several pods. You suspect that some pods are experiencing high CPU utilization, causing performance issues. How would you monitor and troubleshoot the CPU usage of individual pods within this deployment?
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Identify the Deployment Pods:
- Use 'kubectl get pods -l app=my-app to list the pods associated with the 'my-app-deployment' deployment.
Note the pod names.
2. Check CPU Utilization:
- Use 'kubectl top pods to check the real-time CPU usage of the pods you identified in step 1 .
- Alternatively, use 'kubectl describe pod ' to see the average CPU usage over time.
3. Analyze CPU Metrics:
- Look for pods with consistently high CPU usage (e.g., 80% or more).
- Identify the specific containers within the pod consuming the most CPU resources. You can use 'kubectl top pod -c for this.
4. Investigate the Cause:
- Review the pod logs: Use 'kubectl logs to examine the logs of the affected pods. Look for error messages, unusual patterns, or indications of resource-intensive operations.
- Examine the application code: If possible, access the source code of the application running within the affected pods. Analyze the code for potential CPU-intensive operations or bottlenecks.
- Check resource limits: Ensure that the resource requests and limits defined for the containers in the pod are appropriate. If the limits are too low, the containers might be throttled, leading to high CPU usage. Use 'kubectl describe pod to check resource limits.
5. Possible Solutions:
- Increase resource limits: If the containers are being throttled, increase their CPU limits in the Deployment YAML.
- Optimize application code: If the application code is inefficient, you might need to optimize it to reduce CPU consumption.
- Scale down pods: If the high CPU usage is due to a temporary spike in demand, consider scaling down the number of pods in the deployment.
- Use a horizontal pod autoscaler (HPA): An HPA can automatically adjust the number of pods based on CPU utilization metrics.
6. Monitor and Iterate:
- After implementing any changes, monitor the CPU usage of the pods to ensure that the issue is resolved.
- Repeat this process of monitoring, troubleshooting, and optimization until the CPU usage is within acceptable levels.
NEW QUESTION # 52
Quick Reference
ConfigMaps,
Documentation Deployments,
Namespace
You must connect to the correct host . Failure to do so may result in a zero score.
[candidate@base] $ ssh cka000048b
Task
An NGINX Deployment named nginx-static is running in the nginx-static namespace. It is configured using a ConfigMap named nginx-config .
First, update the nginx-config ConfigMap to also allow TLSv1.2. connections.
You may re-create, restart, or scale resources as necessary.
You can use the following command to test the changes:
[candidate@cka000048b] $ curl -- tls-max
1.2 https://web.k8s.local
Answer:
Explanation:
Task Summary
* SSH into cka000048b
* Update the nginx-config ConfigMap in the nginx-static namespace to allow TLSv1.2
* Ensure the nginx-static Deployment picks up the new config
* Verify the change using the provided curl command
Step-by-Step Instructions
Step 1: SSH into the correct host
ssh cka000048b
Step 2: Get the ConfigMap
kubectl get configmap nginx-config -n nginx-static -o yaml > nginx-config.yaml Open the file for editing:
nano nginx-config.yaml
Look for the TLS configuration in the data field. You are likely to find something like:
ssl_protocols TLSv1.3;
Modify it to include TLSv1.2 as well:
ssl_protocols TLSv1.2 TLSv1.3;
Save and exit the file.
Now update the ConfigMap:
kubectl apply -f nginx-config.yaml
Step 3: Restart the NGINX pods to pick up the new ConfigMap
Pods will not reload a ConfigMap automatically unless it's mounted in a way that supports dynamic reload and the app is watching for it (NGINX typically doesn't by default).
The safest way is to restart the pods:
Option 1: Roll the deployment
kubectl rollout restart deployment nginx-static -n nginx-static
Option 2: Delete pods to force recreation
kubectl delete pod -n nginx-static -l app=nginx-static
Step 4: Verify using curl
Use the provided curl command to confirm that TLS 1.2 is accepted:
curl --tls-max 1.2 https://web.k8s.local
A successful response means the TLS configuration is correct.
Final Command Summary
ssh cka000048b
kubectl get configmap nginx-config -n nginx-static -o yaml > nginx-config.yaml nano nginx-config.yaml # Modify to include "ssl_protocols TLSv1.2 TLSv1.3;" kubectl apply -f nginx-config.yaml kubectl rollout restart deployment nginx-static -n nginx-static
# or
kubectl delete pod -n nginx-static -l app=nginx-static
curl --tls-max 1.2 https://web.k8s.local
NEW QUESTION # 53
Create a pod named kucc8 with a single app container for each of the
following images running inside (there may be between 1 and 4 images specified):
nginx + redis + memcached.
Answer:
Explanation:
See the solution below.
Explanation
solution
F:\Work\Data Entry Work\Data Entry\20200827\CKA\5 B.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\5 C.JPG
F:\Work\Data Entry Work\Data Entry\20200827\CKA\5 D.JPG
NEW QUESTION # 54
Resume the rollout of the deployment
Answer:
Explanation:
kubectl rollout resume deploy webapp
NEW QUESTION # 55
Ensure a single instance of pod nginx is running on each node of the Kubernetes cluster where nginx also represents the Image name which has to be used. Do not override any taints currently in place.
Use DaemonSet to complete this task and use ds-kusc00201 as DaemonSet name.
Answer:
Explanation:
NEW QUESTION # 56
Set the node named ek8s-node-1 as unavailable and reschedule all the pods running on it.
Answer:
Explanation:
solution
NEW QUESTION # 57
Score: 4%
Task
Scale the deployment presentation to 6 pods.
Answer:
Explanation:
Solution:
kubectl get deployment
kubectl scale deployment.apps/presentation --replicas=6
NEW QUESTION # 58
Your team has deployed a containerized application on Kubernetes. You have configured a deployment with a replica count of 3 pods. The application uses a resource-intensive process that consumes a significant amount of CPU resources. You are experiencing performance issues and suspect that the pods are competing for resources. Explain how you can use resource quotas and limits to address this problem.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Define Resource Limits for Pods:
- Modify the deployment configuration to set resource limits for each pod, specifying the maximum CPU and memory resources they can consume. This prevents pods from exceeding their resource allocations, ensuring fairer resource distribution.
2. Implement Resource Quotas at the Namespace Level: - Define resource quotas for the namespace where your application is running. This limits the overall resource consumption within the namespace, preventing any single pod from monopolizing resources.
3. Monitor Resource Usage and Adjust Limits: - Continuously monitor the resource usage of your pods and the namespace. Analyze the CPU and memory utilization to identify any resource contention. - Adjust resource limits and quotas as needed to fine-tune the resource allocation and improve performance.
NEW QUESTION # 59
Check to see how many worker nodes are ready (not including nodes tainted NoSchedule) and write the number to /opt/KUCC00104/kucc00104.txt.
Answer:
Explanation:
solution
NEW QUESTION # 60
A Kubernetes worker node, named wk8s-node-0 is in state NotReady. Investigate why this is the case, and perform any appropriate steps to bring the node to a Ready state, ensuring that any changes are made permanent.
You can ssh to the failed node using:
[student@node-1] $ | ssh Wk8s-node-0
You can assume elevated privileges on the node with the following command:
[student@w8ks-node-0] $ | sudo -i
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 61
Given a partially-functioning Kubernetes cluster, identify symptoms of failure on the cluster.
Determine the node, the failing service, and take actions to bring up the failed service and restore the health of the cluster. Ensure that any changes are made permanently.
You can ssh to the relevant I nodes (bk8s-master-0 or bk8s-node-0) using:
[student@node-1] $ ssh <nodename>
You can assume elevated privileges on any node in the cluster with the following command:
[student@nodename] $ | sudo -i
Answer:
Explanation:
See the solution below.
Explanation
solution
NEW QUESTION # 62
Get the memory and CPU usage of all the pods and find out top 3 pods which have the highest usage and put them into the cpuusage.txt file
- A. // Get the top 3 pods
kubectl top pod --all-namespaces | sort --reverse --key 3 --
numeric | head -3
// putting into file
kubectl top pod --all-namespaces | sort --reverse --key 3 --
numeric | head -3 > cpu-usage.txt
// verify
cat cpu-usage.txt - B. // Get the top 3 pods
kubectl top pod --all-namespaces | sort --reverse --key 3 --
numeric | head -8
// putting into file
kubectl top pod --all-namespaces | sort --reverse --key 6 --
numeric | head -6 > cpu-usage.txt
// verify
cat cpu-usage.txt
Answer: A
NEW QUESTION # 63
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