Kubernetes CKAD 1.20 - 真题 (第2题) - 全网
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本真题适用于2021年全年CKAD考试
1. Configuring a Pod to Use a ConfigMap
- Create a new file named
config.txt
with the following environment
variables as key/value pairs on each line.
DB_URL equates to localhost:3306
DB_USERNAME equates to postgres
- Create a new ConfigMap named
db-config
from that file. - Create a Pod named
backend
that uses the environment variables from the ConfigMap and runs the container with the imagenginx
. - Shell into the Pod and print out the created environment variables. You should find
DB_URL
andDB_USERNAME
with their appropriate values.
eg:
Create the environment variables in the text file.
$ echo -e "DB_URL=localhost:3306\\nDB_USERNAME=postgres" > config.txt
- 1
Create the ConfigMap and point to the text file upon creation.
$ kubectl create configmap db-config --from-env-file=config.txt
configmap/db-config created
$ kubectl run backend --image=nginx --restart=Never -o yaml --dry-run > pod.yaml
官网参考:configmap
The final YAML file should look similar to the following code snippet.
apiVersion: v1
kind: Pod
metadata:
creationTimestamp: null
labels:
run: backend
name: backend
spec:
containers:
- image: nginx
name: backend
envFrom:
- configMapRef:
name: db-config
resources: {}
dnsPolicy: ClusterFirst
restartPolicy: Never
status: {}
Create the Pod by pointing the create command to the YAML file.
$ kubectl create -f pod.yaml
- 1
Log into the Pod and run the env command.
$ kubectl exec backend -it -- /bin/sh
/ # env
DB_URL=localhost:3306
DB_USERNAME=postgres
...
/ # exit
2. Configuring a Pod to Use a Secret
- Create a new Secret named
db-credentials
with the key/value pairdb-password=passwd
. - Create a Pod named
backend
that defines uses the Secret as environment variable namedDB_PASSWORD
and runs the container with the imagenginx
. - Shell into the Pod and print out the created environment variables.
You should findDB_PASSWORD
variable.
答案:
It’s easy to create the secret from the command line. Furthermore, execute the run command to generate the YAML file for the Pod.
参考官网:secret
$ kubectl create secret generic db-credentials --from-literal=db-password=passwd
secret/db-credentials created
$ kubectl get secrets
NAME TYPE DATA AGE
db-credentials Opaque 1 26s
$ kubectl run backend --image=nginx --restart=Never -o yaml --dry-run > pod.yaml
Edit the YAML file and create an environment that reads the relevant key from the secret.
参考官网: secret
apiVersion: v1
kind: Pod
metadata:
creationTimestamp: null
labels:
run: backend
name: backend
spec:
containers:
- image: nginx
name: backend
env:
- name: DB_PASSWORD
valueFrom:
secretKeyRef:
name: db-credentials
key: db-password
resources: {}
dnsPolicy: ClusterFirst
restartPolicy: Never
status: {}
Create the Pod by pointing the create command to the YAML file.
$ kubectl create -f pod.yaml
- 1
You can find the environment variable by shelling into the container and running the env command.
$ kubectl exec -it backend -- /bin/sh
/ # env
DB_PASSWORD=passwd
/ # exit
3. Creating a Security Context for a Pod
- Create a Pod named
secured
that uses the imagenginx
for a single
container. Mount an emptyDir volume to the directory/data/app
. - Files created on the volume should use the filesystem group ID 3000.
- Get a shell to the running container and create a new file named
logs.txt
in the directory/data/app
. List the contents of the directory and write them down.
答案:
Start by creating the Pod definition as YAML file.
$ kubectl run secured --image=nginx --restart=Never -o yaml --dry-run > secured.yaml
Edit the YAML file, add a volume and a volume mount. Add a security context with the relevant group ID.
apiVersion: v1
kind: Pod
metadata:
creationTimestamp: null
labels:
run: secured
name: secured
spec:
securityContext:
fsGroup: 3000
containers:
- image: nginx
name: secured
volumeMounts:
- name: data-vol
mountPath: /data/app
resources: {}
volumes:
- name: data-vol
emptyDir: {}
dnsPolicy: ClusterFirst
restartPolicy: Never
status: {}
Create the Pod and log into the container. Create the file in the directory of the volume mount. The group ID should be 3000 as defined by the security context.
$ kubectl create -f secured.yaml
pod/secured created
$ kubectl exec -it secured -- sh
/ # cd /data/app
/ # touch logs.txt
/ # ls -l
-rw-r--r-- 1 root 3000 0 Mar 11 15:56 logs.txt
/ # exit
4. Defining a Pod’s Resource Requirements
Create a resource quota named apps under the namespace rq-demo using the following YAML definition in the file rq.yaml
.
apiVersion: v1
kind: ResourceQuota
metadata:
name: app
spec:
hard:
pods: "2"
requests.cpu: "2"
requests.memory: 500m
- Create a new Pod that exceeds the limits of the resource quota requirements. Write down the error message.
- Change the request limits to fulfill the requirements to ensure that the Pod could be created successfully. Write down the output of the command that renders the used amount of resources for the namespace.
答案:
First create the namespace and the resource quota in the namespace.
$ kubectl create namespace rq-demo
$ kubectl create -f rq.yaml --namespace=rq-demo
resourcequota/app created
$ kubectl describe quota --namespace=rq-demo
Name: app
Namespace: rq-demo
Resource Used Hard
-------- ---- ----
pods 0 2
requests.cpu 0 2
requests.memory 0 500m
Next, create the YAML file named pod.yaml with more requested memory than available in the quota.
参考官网:resource-quotas
apiVersion: v1
kind: Pod
metadata:
creationTimestamp: null
labels:
run: mypod
name: mypod
spec:
containers:
- image: nginx
name: mypod
resources:
requests:
memory: "1G"
cpu: "400m"
dnsPolicy: ClusterFirst
restartPolicy: Never
status: {}
Create the Pod and observe the error message.
$ kubectl create -f pod.yaml --namespace=rq-demo
Error from server (Forbidden): error when creating "pod.yaml": pods "mypod" is forbidden: exceeded quota: app, requested: requests.memory=1G, used: requests.memory=0, limited: requests.memory=500m
- 1
- 2
Lower the memory settings to less than 500m (e.g. 200m) and create the Pod.
$ kubectl create -f pod.yaml --namespace=rq-demo
pod/mypod created
$ kubectl describe quota --namespace=rq-demo
Name: app
Namespace: rq-demo
Resource Used Hard
-------- ---- ----
pods 1 2
requests.cpu 400m 2
requests.memory 200m 500m
5. Using a Service Account
- Create a new service account named
backend-team
. - Print out the token for the service account in YAML format.
- Create a Pod named
backend
that uses the imagenginx
and the identity backend-team for running processes. - Get a shell to the running container and print out the token of the service account.
First, create the service acccount and inspect it.
$ kubectl create serviceaccount backend-team
serviceaccount/backend-team created
$ kubectl get serviceaccount backend-team -o yaml --export
apiVersion: v1
kind: ServiceAccount
metadata:
creationTimestamp: 2019-05-09T22:43:54Z
name: backend-team
namespace: default
resourceVersion: "1888067"
selfLink: /api/v1/namespaces/default/serviceaccounts/backend-team
uid: ecd3b7ea-72ab-11e9-96c5-025000000001
secrets:
- name: backend-team-token-hskch
Next, you can create a new Pod and assign the service account to it.
$ kubectl run backend --image=nginx --restart=Never --serviceaccount=backend-team
- 1
You can print out the token from the volume source at /var/run/secrets/kubernetes.io/serviceaccount.
$ kubectl exec -it backend -- /bin/sh
/ # cat /var/run/secrets/kubernetes.io/serviceaccount/token
eyJhbGciOiJSUzI1NiIsImtpZCI6IiJ9.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJkZWZhdWx0Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZWNyZXQubmFtZSI6ImJhY2tlbmQtdGVhbS10b2tlbi1kbTJmZCIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VydmljZS1hY2NvdW50Lm5hbWUiOiJiYWNrZW5kLXRlYW0iLCJrdWJlcm5ldGVzLmlvL3NlcnZpY2VhY2NvdW50L3NlcnZpY2UtYWNjb3VudC51aWQiOiIxNzM0MzVjMS00NDJmLTExZTktOGRjMy0wMjUwMDAwMDAwMDEiLCJzdWIiOiJzeXN0ZW06c2VydmljZWFjY291bnQ6ZGVmYXVsdDpiYWNrZW5kLXRlYW0ifQ.DjWUxEMNUmQVoXd4b-eIjxboj3w3k7hS5hfV8mm8eoEPz3HJJMgjIpAaurcvo1pp2Ggpd1kIhQvfRqI6-u57f80N5UqXt_qATJfonat2NNXX8pXmFNoPig9LB-pbo8TN_pYGWNworXsxmK9w6V9eaRosIinRp0u-cvijQbsBw3lxWgGo9S4G-7f19mMKN1Pg2xS2J6fKX9IKvhHrUkM91nwcwmsO0use5B4TGbuRa9METiGsfEpegvzMPBbPl0B_T1ANH_pck0LFNtvKe0g1v5zpKx2lRF9WdFAqPsG7BJ1dEH88JtBHzD59OhxIPqtyT4sXKjACBN_ka5ZADMzPJg
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