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[Jul-2022] Verified CKAD dumps Q&As – CKAD dumps with Correct Answers

The Best Kubernetes Application Developer Study Guide for the CKAD Exam

What is the difference between Kubernetes and OpenStack?

OpenStack is a service-oriented cloud computing platform. It is massive and complex. You can’t use it to develop multi-container applications. It enables multiple users to access a cloud platform. OpenStack is a framework that can be used by many different cloud providers. You can install it on your own infrastructure or any cloud provider. Windows support is not available but Linux and macOS are supported. You can use it with IaaS or PaaS providers. Allows you to create private clouds with different authentication methods and storage options. Kubernetes provides a lot of additional configuration options. Cluster size is limited and can’t be changed. You must deploy all your applications and then adjust each application’s requirements. Not that easy to use, and you need to know a lot of details about it. Concepts are different from Kubernetes. You can use it if you have no programming skills or Linux knowledge. Absolutely necessary for implementing Kubernetes. It is scalable. Good support for written documentation. Great support for developing open-source software.

Linux Foundation CKAD Exam Syllabus Topics:

Topic Details
Topic 1
  • State Persistence- Understand Persistent Volume Claims for storage
Topic 2
  • Pod Design – Understand Jobs and CronJobs
  • Understand Deployments and how to perform rolling updates
Topic 3
  • Core Concepts – Create and Configure Basic Pods
  • Understand Kubernetes API primitives
Topic 4
  • Configuration – Demonstrate basic understanding of NetworkPolicies
  • Understand Services
  • Services & Networking
Topic 5
  • Define an application’s resource requirements
  • Understand ServiceAccounts
Topic 6
  • Understand how to monitor applications in Kubernetes
  • Understand LivenessProbes and ReadinessProbes
Topic 7
  • Observability – Understand debugging in Kubernetes
  • Understand container logging
Topic 8
  • Multi-Container Pods – Understand Multi-Container Pod design patterns

 

NO.10 Exhibit:

Context
A user has reported an aopticauon is unteachable due to a failing livenessProbe .
Task
Perform the following tasks:
* Find the broken pod and store its name and namespace to /opt/KDOB00401/broken.txt in the format:

The output file has already been created
* Store the associated error events to a file /opt/KDOB00401/error.txt, The output file has already been created. You will need to use the -o wide output specifier with your command
* Fix the issue.

 
 

NO.11 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

 
 

NO.12 Exhibit:

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

 
 

NO.13 Exhibit:

Context
A project that you are working on has a requirement for persistent data to be available.
Task
To facilitate this, perform the following tasks:
* Create a file on node sk8s-node-0 at /opt/KDSP00101/data/index.html with the content Acct=Finance
* Create a PersistentVolume named task-pv-volume using hostPath and allocate 1Gi to it, specifying that the volume is at /opt/KDSP00101/data on the cluster’s node. The configuration should specify the access mode of ReadWriteOnce . It should define the StorageClass name exam for the PersistentVolume , which will be used to bind PersistentVolumeClaim requests to this PersistenetVolume.
* Create a PefsissentVolumeClaim named task-pv-claim that requests a volume of at least 100Mi and specifies an access mode of ReadWriteOnce
* Create a pod that uses the PersistentVolmeClaim as a volume with a label app: my-storage-app mounting the resulting volume to a mountPath /usr/share/nginx/html inside the pod

 
 

NO.14 Exhibit:

Context
Your application’s namespace requires a specific service account to be used.
Task
Update the app-a deployment in the production namespace to run as the restrictedservice service account. The service account has already been created.

 
 

NO.15 Exhibit:

Task
You are required to create a pod that requests a certain amount of CPU and memory, so it gets scheduled to-a node that has those resources available.
* Create a pod named nginx-resources in the pod-resources namespace that requests a minimum of 200m CPU and 1Gi memory for its container
* The pod should use the nginx image
* The pod-resources namespace has already been created

 
 

NO.16 Exhibit:

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.

 
 

NO.17 Exhibit:

Context
You sometimes need to observe a pod’s logs, and write those logs to a file for further analysis.
Task
Please complete the following;
* Deploy the counter pod to the cluster using the provided YAMLspec file at /opt/KDOB00201/counter.yaml
* Retrieve all currently available application logs from the running pod and store them in the file /opt/KDOB0020l/log_Output.txt, which has already been created

 
 

CKAD certification guide Q&A from Training Expert ExamsTorrent: https://www.examstorrent.com/CKAD-exam-dumps-torrent.html

         

Related Links: github.com fortunetelleroracle.com www.askmap.net www.impactio.com myportal.utt.edu.tt mayagriffiths253.blogspot.com

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