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KCNA Kubernetes Fundamentals Practice Question

Which THREE of the following are valid ways to create a Kubernetes resource using kubectl?

⚠ Common exam trap

CNCF often tests the distinction between commands that create resources versus commands that interact with existing resources, so candidates may mistakenly think `kubectl exec` or `kubectl logs` can create resources because they are common kubectl commands.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

kubectl run nginx --image=nginx

`kubectl run nginx --image=nginx` creates a Pod imperatively, which is a valid way to create a Kubernetes resource directly from the command line without a manifest file. This command generates a Pod named 'nginx' using the specified container image, and it is a supported method for quick testing or ad-hoc resource creation.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • kubectl exec -it pod-name -- /bin/bash

    Why it's wrong here

    Executes a command in a running container, not used to create resources.

  • kubectl run nginx --image=nginx

    Why this is correct

    Creates a deployment or pod running the specified image.

  • kubectl logs pod-name

    Why it's wrong here

    Prints logs from a container, not used to create resources.

  • kubectl create -f pod.yaml

    Why this is correct

    Creates a resource from a YAML or JSON file.

  • kubectl apply -f deployment.yaml

    Why this is correct

    Applies a configuration to a resource, creating it if it doesn't exist.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This KCNA practice question is part of Courseiva's free CNCF certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the KCNA exam.