検証する-権威のあるCKAD難易度受験料試験-試験の準備方法CKAD無料試験

検証する-権威のあるCKAD難易度受験料試験-試験の準備方法CKAD無料試験

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CKAD試験の準備をするために、候補者は、Kubernetesの基礎を強く理解し、生産環境でKubernetesとの仕事の経験を持つことをお勧めします。 Linux Foundationは、候補者が試験の準備を支援するために、幅広いトレーニングリソースとコースを提供しています。さらに、ブログ、フォーラム、オンラインミートアップなどの多くのコミュニティリソースを利用でき、候補者が試験を受けた他の人の経験から学習するのに役立ちます。

>> CKAD難易度受験料 <<

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CKAD試験は、実際のKubernetesタスクを実行する候補者の能力を評価する、実践的なパフォーマンスベースのテストです。この試験は、指定された時間枠内で完了する必要がある一連の実際的な課題で構成されています。候補者は、ポッドの展開と管理、コンテナオーケストレーション、サービスの発見など、クベルネテスの概念に関する知識を実証する必要があります。

Linux Foundation Certified Kubernetes Application Developer Exam 認定 CKAD 試験問題 (Q25-Q30):

質問 # 25
Refer to Exhibit.

Task:
Create a Pod named nginx resources in the existing pod resources namespace.
Specify a single container using nginx:stable image.
Specify a resource request of 300m cpus and 1G1 of memory for the Pod's container.

正解:

解説:
Solution:



質問 # 26

Context
You are tasked to create a secret and consume the secret in a pod using environment variables as follow:
Task
* Create a secret named another-secret with a key/value pair; key1/value4
* Start an nginx pod named nginx-secret using container image nginx, and add an environment variable exposing the value of the secret key key 1, using COOL_VARIABLE as the name for the environment variable inside the pod See the solution below.

正解:

解説:
Explanation
Solution:



質問 # 27
Refer to Exhibit.

Task:
A Dockerfile has been prepared at -/human-stork/build/Dockerfile
1) Using the prepared Dockerfile, build a container image with the name macque and lag 3.0. You may install and use the tool of your choice.

2) Using the tool of your choice export the built container image in OC-format and store it at -/human stork/macque 3.0 tar

正解:

解説:
Solution:


質問 # 28
Exhibit:

Context
A container within the poller pod is hard-coded to connect the nginxsvc service on port 90 . As this port changes to 5050 an additional container needs to be added to the poller pod which adapts the container to connect to this new port. This should be realized as an ambassador container within the pod.
Task
* Update the nginxsvc service to serve on port 5050.
* Add an HAproxy container named haproxy bound to port 90 to the poller pod and deploy the enhanced pod. Use the image haproxy and inject the configuration located at /opt/KDMC00101/haproxy.cfg, with a ConfigMap named haproxy-config, mounted into the container so that haproxy.cfg is available at /usr/local/etc/haproxy/haproxy.cfg. Ensure that you update the args of the poller container to connect to localhost instead of nginxsvc so that the connection is correctly proxied to the new service endpoint. You must not modify the port of the endpoint in poller's args . The spec file used to create the initial poller pod is available in /opt/KDMC00101/poller.yaml

  • A. Solution:
    apiVersion: apps/v1
    kind: Deployment
    metadata:
    name: my-nginx
    spec:
    selector:
    matchLabels:
    run: my-nginx
    - name: my-nginx
    image: nginx
    ports:
    - containerPort: 90
    This makes it accessible from any node in your cluster. Check the nodes the Pod is running on:
    kubectl apply -f ./run-my-nginx.yaml
    kubectl get pods -l run=my-nginx -o wide
    NAME READY STATUS RESTARTS AGE IP NODE
    my-nginx-3800858182-jr4a2 1/1 Running 0 13s 10.244.3.4 kubernetes-minion-905m
    my-nginx-3800858182-kna2y 1/1 Running 0 13s 10.244.2.5 kubernetes-minion-ljyd
    Check your pods' IPs:
    kubectl get pods -l run=my-nginx -o yaml | grep podIP
    podIP: 10.244.3.4
    podIP: 10.244.2.5
  • B. Solution:
    apiVersion: apps/v1
    kind: Deployment
    metadata:
    name: my-nginx
    spec:
    selector:
    matchLabels:
    run: my-nginx
    replicas: 2
    template:
    metadata:
    labels:
    run: my-nginx
    spec:
    containers:
    - name: my-nginx
    image: nginx
    ports:
    - containerPort: 90
    This makes it accessible from any node in your cluster. Check the nodes the Pod is running on:
    kubectl apply -f ./run-my-nginx.yaml
    kubectl get pods -l run=my-nginx -o wide
    NAME READY STATUS RESTARTS AGE IP NODE
    my-nginx-3800858182-jr4a2 1/1 Running 0 13s 10.244.3.4 kubernetes-minion-905m
    my-nginx-3800858182-kna2y 1/1 Running 0 13s 10.244.2.5 kubernetes-minion-ljyd
    Check your pods' IPs:
    kubectl get pods -l run=my-nginx -o yaml | grep podIP
    podIP: 10.244.3.4
    podIP: 10.244.2.5

正解:B

質問 # 29
Context

Given a container that writes a log file in format A and a container that converts log files from format A to format B, create a deployment that runs both containers such that the log files from the first container are converted by the second container, emitting logs in format B.
Task:
* Create a deployment named deployment-xyz in the default namespace, that:
* Includes a primary
lfccncf/busybox:1 container, named logger-dev
* includes a sidecar Ifccncf/fluentd:v0.12 container, named adapter-zen
* Mounts a shared volume /tmp/log on both containers, which does not persist when the pod is deleted
* Instructs the logger-dev
container to run the command

which should output logs to /tmp/log/input.log in plain text format, with example values:

* The adapter-zen sidecar container should read /tmp/log/input.log and output the data to /tmp/log/output.* in Fluentd JSON format. Note that no knowledge of Fluentd is required to complete this task: all you will need to achieve this is to create the ConfigMap from the spec file provided at /opt/KDMC00102/fluentd-configma p.yaml , and mount that ConfigMap to /fluentd/etc in the adapter-zen sidecar container

正解:

解説:
Solution:





質問 # 30
......

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