Linux Foundation CKAD Exam Dumps

SIMULATION

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.

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SIMULATION

Task

A deployment is falling on the cluster due to an incorrect image being specified. Locate the deployment, and fix the problem.

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SIMULATION

Task

Create a new deployment for running.nginx with the following parameters;

* Run the deployment in the kdpd00201 namespace. The namespace has already been created

* Name the deployment frontend and configure with 4 replicas

* Configure the pod with a container image of lfccncf/nginx:1.13.7

* Set an environment variable of NGINX__PORT=8080 and also expose that port for the container above

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SIMULATION

Context

Anytime a team needs to run a container on Kubernetes they will need to define a pod within which to run the container.

Task

Please complete the following:

* Create a YAML formatted pod manifest

/opt/KDPD00101/podl.yml to create a pod named app1 that runs a container named app1cont using image Ifccncf/arg-output

with these command line arguments: -lines 56 -F

* Create the pod with the kubect1 command using the YAML file created in the previous step

* When the pod is running display summary data about the pod in JSON format using the kubect1 command and redirect the output to a file named /opt/KDPD00101/out1.json

* All of the files you need to work with have been created, empty, for your convenience

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SIMULATION

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

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