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[Hardware] Exam CKA Material｜Ready to Pass The Certified Kubernetes Administrator (CKA) Pro

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【Hardware】 Exam CKA Material｜Ready to Pass The Certified Kubernetes Administrator (CKA) Pro

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Linux Foundation CKA (Certified Kubernetes Administrator) Program Certification Exam is a leading certification program designed for IT professionals who want to demonstrate their expertise in managing and deploying applications using Kubernetes technology. Kubernetes is an open-source container orchestration system that automates the deployment, scaling, and management of containerized applications. As containerization becomes increasingly popular in modern software development, the demand for Kubernetes experts has grown rapidly. The CKA certification program is an excellent way for IT professionals to enhance their Kubernetes skills, demonstrate their expertise to employers, and advance their careers.
Linux Foundation Certified Kubernetes Administrator (CKA) program is a certification designed to test the knowledge and skills of individuals in the field of Kubernetes administration. Kubernetes is one of the most popular container orchestration platforms, and it is widely used by organizations to manage their containerized applications. The CKA program is developed and maintained by the Linux Foundation, which is a non-profit organization that promotes the use of open source technologies.
The CKA certification is a globally recognized certification that is highly valued in the IT industry. It is designed to validate the skills and knowledge of IT professionals who can operate Kubernetes clusters. Certified Kubernetes Administrator (CKA) Program Exam certification is ideal for individuals who want to demonstrate their expertise in Kubernetes and advance their careers in the IT industry. The CKA program is an excellent opportunity for IT professionals to enhance their skills and knowledge and become certified Kubernetes administrators.
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Linux Foundation Certified Kubernetes Administrator (CKA) Program Exam Sample Questions (Q68-Q73):NEW QUESTION # 68
You have a Kubernetes cluster with multiple namespaces. You need to set up RBAC to allow a specific user, "developer", to only deploy and manage pods within the "dev" namespace, but restrict access to other resources.
Answer:
Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Create the following YAML files:
1. Role.yaml:

2. RoleBinding.yaml:

Solution (Step by Step) : 1 . Create the Role: Apply the 'Role.yamP file using 'kubectl apply -f Role.yamr. This defines the permissions granted to the role 'pod-manager-dev' within the 'dev' namespace. 2. Create the RoleBinding: Apply the 'RoleBinding.yaml' file using 'kubectl apply -f RoleBinding.yaml'. This binds the 'pod-manager-dev' role to the user 'developer' , allowing them to access resources defined in the role. 3. Verify Access: As the user 'developer' , try deploying a pod or managing deployments within the 'dev' namespace. Verify that the user has the necessary permissions. 4. Test Restrictions: Try accessing resources outside the 'dev' namespace or trying actions not defined in the role (e.g., creating a service in the 'dev' namespace). Verify that the user is denied access.

NEW QUESTION # 69
Get the number of schedulable nodes and write to a file
/opt/schedulable-nodes.txt
  • A. kubectl get nodes -o jsonpath="{range
    .items
  • }{.metadata.name}
    {.spec.taints[?(@.effect=='NoSchedule')].effect}{""}{end}"
    | awk 'NF==11 {print $0}' > /opt/schedulable-nodes.txt
    // Verify
    cat /opt/schedulable-nodes.txt
  • B. kubectl get nodes -o jsonpath="{range
    .items
  • }{.metadata.name}
    {.spec.taints[?(@.effect=='NoSchedule')].effect}{""}{end}"
    | awk 'NF==1 {print $0}' > /opt/schedulable-nodes.txt
    // Verify
    cat /opt/schedulable-nodes.txt
Answer: B

NEW QUESTION # 70
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 -8
    // putting into file
    kubectl top pod --all-namespaces | sort --reverse --key 6 --
    numeric | head -6 > 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 -3
    // putting into file
    kubectl top pod --all-namespaces | sort --reverse --key 3 --
    numeric | head -3 > cpu-usage.txt
    // verify
    cat cpu-usage.txt
Answer: B

NEW QUESTION # 71
You must connect to the correct host.
Failure to do so may result in a zero score.
[candidate@base] $ ssh Cka000049
Task
Perform the following tasks:
Create a new PriorityClass named high-priority for user-workloads with a value that is one less than the highest existing user-defined priority class value.
Patch the existing Deployment busybox-logger running in the priority namespace to use the high-priority priority class.
Answer:
Explanation:
Task Summary
* SSH into the correct node: cka000049
* Find the highest existing user-defined PriorityClass
* Create a new PriorityClass high-priority with a value one less
* Patch Deployment busybox-logger (in namespace priority) to use this new PriorityClass Step-by-Step Solution
1## SSH into the correct node
bash
CopyEdit
ssh cka000049
## Skipping this = zero score
2## Find the highest existing user-defined PriorityClass
Run:
bash
CopyEdit
kubectl get priorityclasses.scheduling.k8s.io
Example output:
vbnet
CopyEdit
NAME VALUE GLOBALDEFAULT AGE
default-low 1000 false 10d
mid-tier 2000 false 7d
critical-pods 1000000 true 30d
Exclude system-defined classes like system-* and the default global one (e.g., critical-pods).
Let's assume the highest user-defined value is 2000.
So your new class should be:
* Value = 1999
3## Create the high-priority PriorityClass
Create a file called high-priority.yaml:
cat <<EOF > high-priority.yaml
apiVersion: scheduling.k8s.io/v1
kind: PriorityClass
metadata:
name: high-priority
value: 1999
globalDefault: false
description: "High priority class for user workloads"
EOF
Apply it:
kubectl apply -f high-priority.yaml
4## Patch the busybox-logger deployment
Now patch the existing Deployment in the priority namespace:
kubectl patch deployment busybox-logger -n priority
--type='merge'
-p '{"spec": {"template": {"spec": {"priorityClassName": "high-priority"}}}}'
5## Verify your work
Confirm the patch was applied:
kubectl get deployment busybox-logger -n priority -o jsonpath='{.spec.template.spec.priorityClassName}'
# You should see:
high-priority
Also, confirm the class exists:
kubectl get priorityclass high-priority
Final Command Summary
ssh cka000049
kubectl get priorityclass
# Create the new PriorityClass
cat <<EOF > high-priority.yaml
apiVersion: scheduling.k8s.io/v1
kind: PriorityClass
metadata:
name: high-priority
value: 1999
globalDefault: false
description: "High priority class for user workloads"
EOF
kubectl apply -f high-priority.yaml
# Patch the deployment
kubectl patch deployment busybox-logger -n priority
--type='merge'
-p '{"spec": {"template": {"spec": {"priorityClassName": "high-priority"}}}}'
# Verify
kubectl get deployment busybox-logger -n priority -o jsonpath='{.spec.template.spec.priorityClassName}' kubectl get priorityclass high-priority

NEW QUESTION # 72
Update the deployment with the image version 1.17.4 and verify
  • A. kubectl set image deploy/webapp nginx=nginx:1.17.4
    //Verify
    kubectl describe deploy webapp | grep Image
    kubectl get deploy -o=jsonpath='{range.items
  • }{.
  • }
    {.metadata.name}{"        "}{.spec.template.spec.containers
  • .i
    mage}{""}'
  • B. kubectl set image deploy/webapp nginx=nginx:1.17.4
    //Verify
    kubectl describe deploy webapp | grep Image
    kubectl get deploy -
    {.metadata.name}{"        "}{.spec.template.spec.containers
  • .i
    mage}{""}'
Answer: A

NEW QUESTION # 73
......
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