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Linux Foundation Certified Kubernetes Application Developer Exam Sample Questions (Q12-Q17):

NEW QUESTION # 12
You have a Kubernetes cluster with a namespace called 'dev' and a deployment named 'app-deployment' in that namespace. You need to create a new Role that allows users in the 'developers' group to only scale the Sapp-deployment' deployment. They should not be able to access any other resources in the 'dev' namespace. Implement the RBAC configuration for this scenario.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Create a Role:
- Create a YAML file named 'scale-app-role.yaml' with the following content:

2. Create a RoleBinding: - Create a YAML file named 'scale-app-rolebinding.yaml' with the following content:

3. Apply the configuration: - Apply the Role and Role8inding using the following commands: bash kubectl apply -f scale-app-role.yaml kubectl apply -f scale-app-rolebinding-yaml 4. Verify the configuration: - You can verify the configuration by using the following command: bash kubectl auth can-i --list --as=user:testuser--group-developers--namespace-dev - Replace 'testuser' with the name of a user in the 'developers' group. The output should show only the following permissions: - 'apps/deployments': 'get, "list, 'watch', 'update', 'patch', 'scale' 5. Test the permissions: - Try to scale the Sapp-deployment deployment using the 'kubectr command as a user in the 'developers group. - Try to perform other actions on the deployment or other resources in the 'devs namespace. You should only be able to scale the Sapp-deployment deployment.


NEW QUESTION # 13
You are tasked witn building a container image for a Node.js application that needs to interact with a MongoDB database. Describe now you would configure your Dockerfile to include MongoDB and how you would set up your Node.js application to connect to the database within the container.

Answer:

Explanation:
See the solution below with Step by Step Explanation.
Explanation:
Solution (Step by Step) :
1. Utilize a Multi-Stage Dockerfile: Employ a multi-stage Dockerfile to separate the build and runtime environments, optimizing the final image size.

2. Install MongoDB in the Base Image: - Use a suitable MongoDB base image, such as 'mongo:latest', in the runtime stage. 3. Install Node.js Dependencies: - IJse a Nodejs base image, such as 'node:16-alpine', in the build stage. - Install Node.js dependencies using 'yarn install'. 4. Connect to MongoDB from the Node.js Application: - In your Node.js application, use a MongoDB driver (e.g., 'mongodb') to establish a connection to the MongoDB instance.

5. Build and Run the Container: - Build the image using 'docker build . -t my-node-mongo-apps - Run the container using 'docker run -it -p 2701727017 my-node-mongo-app' - The '-p 27017:27017' mapping exposes the MongoDB port to your host machine, allowing you to connect to the database from your local machine. 6. Access MongoDB. - You can use a MongoDB client tool (e.g., Mongo Shell, Robo 3T) or other applications to connect to the MongoDB instance running inside the container.,


NEW QUESTION # 14
Context
You are asked to set resource requests and limits for a running workload to ensure fair resource management.
"Do not delete the existing Deployment . Failure to do so will result in a reduced score." Next, ensure that the total amount of resources in the namespace matches the maximum resources the Pods from the nginx-resources Deployment can request.
Failure to do so will result in the updated Deployment failing to roll out successfully.

Answer:

Explanation:
See the Explanation below for complete solution.
Explanation:
Below are the exact steps/commands you can run.
1) Locate the Deployment and its namespace
kubectl get deploy -A | grep nginx-resources
You should see output like:
<namespace> nginx-resources ...
Set a variable (replace <NS> with what you see):
NS=<NS>
Confirm replicas:
kubectl -n $NS get deploy nginx-resources -o jsonpath='{.spec.replicas}{" "}'
2) Check if there is a ResourceQuota in that namespace
kubectl -n $NS get resourcequota
kubectl -n $NS describe resourcequota
If there is a quota, note these fields (common ones):
* requests.cpu
* requests.memory
* limits.cpu
* limits.memory
3) Decide requests/limits for the Deployment (example values)
If the question (in your environment) provides specific values, use those.
If it doesn't, a typical safe pair is:
* requests: cpu: 100m, memory: 128Mi
* limits: cpu: 200m, memory: 256Mi
I'll proceed with these example values. If your lab specifies different numbers, just swap them in.
4) Update the existing Deployment (DO NOT DELETE)
Option A (fastest): kubectl set resources
Assuming the container name is the first container (we'll detect it):
kubectl -n $NS get deploy nginx-resources -o jsonpath='{.spec.template.spec.containers[*].name}{" "}' If it prints a single container name, set it like this:
kubectl -n $NS set resources deploy nginx-resources
--requests=cpu=100m,memory=128Mi
--limits=cpu=200m,memory=256Mi
Verify the Deployment now has resources
kubectl -n $NS get deploy nginx-resources -o jsonpath='{.spec.template.spec.containers[0].resources}{" "}'
5) Compute the total resources requested by the Deployment
Get replicas:
REPLICAS=$(kubectl -n $NS get deploy nginx-resources -o jsonpath='{.spec.replicas}') echo $REPLICAS
6) Ensure the namespace quota matches (or exceeds) those totals
This is the part the question warns about: if the quota is too low, the Deployment update will fail to roll out.
6.1 If a ResourceQuota already exists
Patch it to allow at least the totals you calculated.
First, identify quota name:
RQ=$(kubectl -n $NS get resourcequota -o jsonpath='{.items[0].metadata.name}') echo $RQ Then patch (example: replicas=2 # requests.cpu=200m, requests.memory=256Mi):
kubectl -n $NS patch resourcequota $RQ --type='merge' -p '{
"spec": {
"hard": {
"requests.cpu": "200m",
"requests.memory": "256Mi",
"limits.cpu": "400m",
"limits.memory": "512Mi"
}
}
}'
Adjust those numbers to your replicas × request, and replicas × limit (if your quota also enforces limits).
6.2 If there is NO ResourceQuota
Create one that matches the Deployment max request totals.
Example for replicas=2 with our sample requests/limits:
cat <<EOF | kubectl apply -n $NS -f -
apiVersion: v1
kind: ResourceQuota
metadata:
name: nginx-resources-quota
spec:
hard:
requests.cpu: "200m"
requests.memory: "256Mi"
limits.cpu: "400m"
limits.memory: "512Mi"
EOF
7) Verify rollout succeeds
kubectl -n $NS rollout status deploy nginx-resources
kubectl -n $NS get pods
Verify the running pods actually have the requests/limits:
kubectl -n $NS get pod -l app=nginx-resources -o jsonpath='{range .items[*]}{.metadata.name}{" "}{.spec.
containers[0].resources}{" "}{end}'
(If the label selector app=nginx-resources doesn't exist, just pick a pod name from kubectl get pods and run:) kubectl -n $NS describe pod <pod-name> | sed -n '/Limits:/,/Requests:/p' Common reasons this fails (and the fix)
* Rollout stuck / pods pending with "exceeded quota"Check:
* kubectl -n $NS describe pod <pending-pod>
* kubectl -n $NS describe resourcequota
Fix: increase ResourceQuota hard values to match required totals.
* You set requests higher than quota allowsFix: either reduce requests or raise quota.
kubectl get deploy -A | grep nginx-resources
kubectl -n <NS> get deploy nginx-resources -o jsonpath='{.spec.replicas}{" "}{.spec.template.spec.
containers[0].name}{" "}'
kubectl -n <NS> describe resourcequota


NEW QUESTION # 15

Task
A Deployment named backend-deployment in namespace staging runs a web application on port 8081.

Answer:

Explanation:
See the solution below.
Explanation:
Solution:



NEW QUESTION # 16

Context
It is always useful to look at the resources your applications are consuming in a cluster.
Task
* From the pods running in namespace cpu-stress , write the name only of the pod that is consuming the most CPU to file /opt/KDOBG030l/pod.txt, which has already been created.

Answer:

Explanation:
See the solution below.
Explanation
Solution:


NEW QUESTION # 17
......

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