CKAD Sample Questions Answers

ssh ckad00034c

You’re debugging an Ingress → Service → Deployment chain. The fastest way is:

reproduce the error with the right Host header

check Ingress rules (host/path/backend)

check Service (selector/port/targetPort)

check Endpoints (do we have ready pods?)

fix the manifest(s) under /home/candidate/content-marlin/

apply + re-test

Below are the exact commands + the most common fixes for this exact symptom.

1) Reproduce the failing request correctly

Even if DNS isn’t set up, you can test with a Host header:

curl -i -H "Host: content-marlin.local" http://127.0.0.1/content-marlin

If your ingress controller is not on localhost, find the NodePort/LoadBalancer IP. In these labs it’s often localhost via a local proxy, but if needed:

kubectl get svc -A | egrep -i 'ingress|nginx'

kubectl get nodes -o wide

(But start with the localhost curl above.)

2) Inspect the provided manifests (this is what you must edit)

cd /home/candidate/content-marlin/

ls -l

sed -n '1,200p' *.yaml

Also view what’s currently live in the cluster:

kubectl -n content-marlin get deploy,svc,ingress

kubectl -n content-marlin describe ingress content-marlin-ingress

kubectl -n content-marlin get ingress content-marlin-ingress -o yaml

What to look for in the Ingress:

spec.rules.host should be content-marlin.local

spec.rules.http.paths[].path should match /content-marlin

Backend service name must be your service

Backend service port must match the service port (name or number)

pathType should be Prefix (usually safest)

3) Validate Service → Pod wiring (most common real cause)

3.1 Check service selector and ports

kubectl -n content-marlin get svc -o wide

kubectl -n content-marlin describe svc content-marlin-deployment 2>/dev/null || true

kubectl -n content-marlin describe svc

Identify the service that the Ingress points to (from describe ingress).

Check if the Service selector matches pod labels:

kubectl -n content-marlin get pods --show-labels

kubectl -n content-marlin get svc -o jsonpath='{.spec.selector}{"\n"}'

3.2 Check endpoints (this tells you instantly if traffic can reach pods)

kubectl -n content-marlin get endpoints

kubectl -n content-marlin get endpoints -o wide

If ENDPOINTS is empty → Service selector doesn’t match Pods OR Pods aren’t Ready.

3.3 If endpoints empty, check pod readiness and labels

kubectl -n content-marlin get pods -o wide

kubectl -n content-marlin describe pod

4) Apply the most likely fix patterns

Fix pattern A: Ingress path needs rewrite

If your app serves / but you route /content-marlin, you often need rewrite.

Edit content-marlin-ingress manifest (in /home/candidate/content-marlin/) to include:

path: /content-marlin

pathType: Prefix

annotation: rewrite to / (common for nginx ingress)

Example (typical nginx-ingress):

metadata:

annotations:

nginx.ingress.kubernetes.io/rewrite-target: /

spec:

rules:

- host: content-marlin.local

http:

paths:

- path: /content-marlin

pathType: Prefix

backend:

service:

name:

port:

number: 80

If your ingress controller is not nginx, rewrite annotation may differ. But in CKAD labs, it’s very often nginx.

Fix pattern B: Ingress points to wrong Service port

If the Ingress backend says port 80 but your Service exposes 8080 (or uses a named port), align them:

Either change Ingress backend port.number

Or change Service spec.ports[].port / targetPort

Fix pattern C: Service selector mismatch (endpoints empty)

If pods have label app=content-marlin but service selector is app=content-marlin-deployment (or vice versa), fix the Service selector to match pod labels.

Service should have:

spec:

selector:

app:

Fix pattern D: Service targetPort wrong

If container listens on 8080 but service targetPort is 80, fix it:

spec:

ports:

- port: 80

targetPort: 8080

5) Apply the corrected manifests

After editing the YAMLs under /home/candidate/content-marlin/:

kubectl apply -f /home/candidate/content-marlin/

Wait for readiness:

kubectl -n content-marlin rollout status deploy content-marlin-deployment

kubectl -n content-marlin get endpoints

kubectl -n content-marlin describe ingress content-marlin-ingress

6) Re-test the URL

curl -i -H "Host: content-marlin.local" http://127.0.0.1/content-marlin

If you still get errors, also check ingress controller logs/events quickly:

kubectl -n content-marlin get events --sort-by=.lastTimestamp | tail -n 30

kubectl get pods -A | egrep -i 'ingress|nginx'

The fastest way for you to finish in 1 shot

Run these and paste the output (I’ll tell you exactly which line to change and what to change it to):

kubectl -n content-marlin describe ingress content-marlin-ingress

kubectl -n content-marlin get svc -o wide

kubectl -n content-marlin get endpoints -o wide

kubectl -n content-marlin get pods --show-labels

sed -n '1,200p' /home/candidate/content-marlin/*.yaml

But even without pasting, if you follow steps 2–4 above, you’ll find the broken link (Ingress rule, Service port, selector, or rewrite) and fix it cleanly.

Solution:

To update the nginxsvc service to serve on port 5050, you will need to edit the service's definition yaml file. You can use the kubectl edit command to edit the service in place.

kubectl edit svc nginxsvc

This will open the service definition yaml file in your default editor. Change the targetPort of the service to 5050 and save the file.

To add an HAproxy container named haproxy bound to port 90 to the poller pod, you will need to edit the pod's definition yaml file located at /opt/KDMC00101/poller.yaml.

You can add a new container to the pod's definition yaml file, with the following configuration:

containers:

- name: haproxy

image: haproxy

ports:

- containerPort: 90

volumeMounts:

- name: haproxy-config

mountPath: /usr/local/etc/haproxy/haproxy.cfg

subPath: haproxy.cfg

args: ["haproxy", "-f", "/usr/local/etc/haproxy/haproxy.cfg"]

This will add the HAproxy container to the pod and configure it to listen on port 90. It will also mount the ConfigMap haproxy-config to the container, so that haproxy.cfg is available at /usr/local/etc/haproxy/haproxy.cfg.

To inject the configuration located at /opt/KDMC00101/haproxy.cfg to the container, you will need to create a ConfigMap using the following command:

kubectl create configmap haproxy-config --from-file=/opt/KDMC00101/haproxy.cfg

You will also need to update the args of the poller container so that it connects to localhost instead of nginxsvc. You can do this by editing the pod's definition yaml file and changing the args field to args: ["poller","--host=localhost"].

Once you have made these changes, you can deploy the updated pod to the cluster by running the following command:

kubectl apply -f /opt/KDMC00101/poller.yaml

This will deploy the enhanced pod with the HAproxy container to the cluster. The HAproxy container will listen on port 90 and proxy connections to the nginxsvc service on port 5050. The poller container will connect to localhost instead of nginxsvc, so that the connection is correctly proxied to the new service endpoint.

Please note that, this is a basic example and you may need to tweak the haproxy.cfg file and the args based on your use case.

Solution:

To deploy the counter pod to the cluster using the provided YAML spec file, you can use the kubectl apply command. The apply command creates and updates resources in a cluster.

kubectl apply -f /opt/KDOB00201/counter.yaml

This command will create the pod in the cluster. You can use the kubectl get pods command to check the status of the pod and ensure that it is running.

kubectl get pods

To retrieve all currently available application logs from the running pod and store them in the file /opt/KDOB0020l/log_Output.txt, you can use the kubectl logs command. The logs command retrieves logs from a container in a pod.

kubectl logs -f > /opt/KDOB0020l/log_Output.txt

Replace with the name of the pod.

You can also use -f option to stream the logs.

kubectl logs -f > /opt/KDOB0020l/log_Output.txt &

This command will retrieve the logs from the pod and write them to the /opt/KDOB0020l/log_Output.txt file.

Please note that the above command will retrieve all logs from the pod, including previous logs. If you want to retrieve only the new logs that are generated after running the command, you can add the --since flag to the kubectl logs command and specify a duration, for example --since=24h for logs generated in the last 24 hours.

Also, please note that, if the pod has multiple containers, you need to specify the container name using -c option.

kubectl logs -f -c > /opt/KDOB0020l/log_Output.txt

The above command will redirect the logs of the specified container to the file.

Solution:

ssh ckad00026

Your job is to edit /home/candidate/credible-mite/web.yaml so it uses APIs supported on Kubernetes 1.29+, then deploy it into namespace garfish.

Because I can’t see your file from here, the most reliable exam approach is:

run a server-side dry-run to reveal the exact deprecated/removed APIs and schema errors

edit the manifest to the modern API versions/fields

re-run dry-run until it passes

apply for real and verify rollout

1) Go to the manifest and run a server-side dry-run

cd /home/candidate/credible-mite

ls -l

sed -n '1,200p' web.yaml

Make sure the namespace exists:

kubectl get ns garfish || kubectl create ns garfish

Now run a server-side dry-run (this catches removed APIs on the cluster):

kubectl apply -n garfish -f web.yaml --dry-run=server

Whatever errors you get here tell you exactly what to fix.

2) Fix the common v1.15 → v1.29 API deprecations

Edit the file:

vi web.yaml

Below are the most common objects from older manifests and how to update them for 1.29+.

A) Deployments / DaemonSets / StatefulSets

Old (v1.15 often used):

extensions/v1beta1 or apps/v1beta1 or apps/v1beta2

New:

apiVersion: apps/v1

Also in apps/v1, .spec.selector is required and must match the pod template labels.

Example conversion:

apiVersion: apps/v1

kind: Deployment

metadata:

name: web

spec:

replicas: 2

selector:

matchLabels:

app: web

template:

metadata:

labels:

app: web

spec:

containers:

- name: web

image: nginx

Key rule:

spec.selector.matchLabels must exactly match spec.template.metadata.labels (at least for the keys you select on).

B) Ingress

Old:

apiVersion: extensions/v1beta1 (or networking.k8s.io/v1beta1)

New:

apiVersion: networking.k8s.io/v1

Required changes:

spec.rules.http.paths[].pathType is required (usually Prefix)

backend format changes from serviceName/servicePort to service.name/service.port.number (or .name for named ports)

Old backend:

backend:

serviceName: web

servicePort: 80

New backend:

backend:

service:

name: web

port:

number: 80

Full path example:

apiVersion: networking.k8s.io/v1

kind: Ingress

metadata:

name: web

spec:

rules:

- host: example.local

http:

paths:

- path: /

pathType: Prefix

backend:

service:

name: web

port:

number: 80

C) CronJob

Old:

apiVersion: batch/v1beta1

New:

apiVersion: batch/v1

Most fields stay the same; just update apiVersion.

D) PodDisruptionBudget

Old:

policy/v1beta1

New:

policy/v1

spec.selector/minAvailable/maxUnavailable remain, but apiVersion changes.

E) RBAC

Usually already:

rbac.authorization.k8s.io/v1 (this is fine)

F) Removed APIs you must delete/replace

If you see these in a v1.15-era manifest, they are removed in modern clusters:

PodSecurityPolicy (policy/v1beta1) is removed. You cannot deploy it on 1.29+. Remove it from the manifest (or replace with whatever your environment uses, but for CKAD tasks you usually delete PSP sections from the file).

Some old admission/alpha resources also removed.

If dry-run complains “no matches for kind … in version …”, that’s your cue.

3) Re-run dry-run until it succeeds

After you edit:

kubectl apply -n garfish -f web.yaml --dry-run=server

Keep iterating until there are no errors.

4) Deploy for real

kubectl apply -n garfish -f /home/candidate/credible-mite/web.yaml

5) Verify everything in namespace garfish

List what was created:

kubectl -n garfish get all

kubectl -n garfish get ingress 2>/dev/null || true

If there is a Deployment, verify rollout:

kubectl -n garfish get deploy

kubectl -n garfish rollout status deploy --all

Check pods/events if something fails:

kubectl -n garfish get pods -o wide

kubectl -n garfish describe pod

kubectl -n garfish get events --sort-by=.lastTimestamp | tail -n 30

Solution:

Solution:

Goal: fix nosql Deployment in haddock so the container stops OOM’ing by setting:

memory request = 128Mi

memory limit = half of the namespace’s maximum memory constraint

You must do this on the correct host.

0) Connect to the correct host

ssh ckad00032

1) Confirm the failing Deployment / Pods

kubectl -n haddock get deploy nosql

kubectl -n haddock get pods -l app=nosql 2>/dev/null || kubectl -n haddock get pods

If pods are crashing, check why (you’ll likely see OOMKilled):

kubectl -n haddock describe pod

2) Find the maximum memory constraint set for the haddock namespace

In CKAD labs, this is commonly enforced by a LimitRange (max memory per container). Sometimes it can also be a ResourceQuota.

2A) Check LimitRange (most likely)

kubectl -n haddock get limitrange

kubectl -n haddock get limitrange -o yaml

Extract the max memory value quickly:

MAX_MEM=$(kubectl -n haddock get limitrange -o jsonpath='{.items[0].spec.limits[0].max.memory}')

echo "Namespace max memory constraint: $MAX_MEM"

2B) If no LimitRange exists, check ResourceQuota

kubectl -n haddock get resourcequota

kubectl -n haddock describe resourcequota

If quota is used, you’re looking for something like limits.memory (but the question wording “maximum memory constraint” usually points to LimitRange max.memory).

3) Compute “half of the max memory constraint”

Run this small snippet to compute HALF in Mi (handles Mi and Gi):

HALF_MEM=$(python3 - <<'PY'

import os, re

q = os.environ.get("MAX_MEM","").strip()

m = re.fullmatch(r"(\d+)(Mi|Gi)", q)

if not m:

raise SystemExit(f"Cannot parse MAX_MEM='{q}'. Expected like 512Mi or 1Gi.")

val = int(m.group(1))

unit = m.group(2)

# convert to Mi

mi = val if unit == "Mi" else val * 1024

half_mi = mi // 2

print(f"{half_mi}Mi")

PY

)

echo "Half of max: $HALF_MEM"

Example: if MAX_MEM=512Mi → HALF_MEM=256Mi

Example: if MAX_MEM=1Gi → HALF_MEM=512Mi

4) Update the nosql Deployment (DO NOT delete it)

First, get the container name (Deployment may have a custom container name):

kubectl -n haddock get deploy nosql -o jsonpath='{.spec.template.spec.containers[*].name}{"\n"}'

Now set resources (this updates the Deployment in-place):

kubectl -n haddock set resources deploy nosql \

--requests=memory=128Mi \

--limits=memory=$HALF_MEM

5) Ensure the update rolls out successfully

kubectl -n haddock rollout status deploy nosql

6) Verify the pod has the right requests/limits

kubectl -n haddock get deploy nosql -o jsonpath='{.spec.template.spec.containers[0].resources}{"\n"}'

kubectl -n haddock get pods

Pick the new pod and confirm:

kubectl -n haddock describe pod | sed -n '/Requests:/,/Limits:/p'

You should see:

Requests: memory 128Mi

Limits: memory

If rollout fails (common cause)

If you accidentally set a limit above the namespace max, pods won’t start. Check events:

kubectl -n haddock describe deploy nosql

kubectl -n haddock get events --sort-by=.lastTimestamp | tail -n 20

Solution:

Solution:

Solution: