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KCNA Kubernetes Fundamentals Practice Question

Which THREE of the following are valid ways to expose a set of pods as a network service in Kubernetes?

⚠ Common exam trap

The KCNA exam often tests the distinction between workload resources (like Deployments) and networking resources (like Services and Ingresses), leading candidates to mistakenly think a Deployment alone can expose pods as a network service.

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

✓

Creating a Service of type NodePort.

A Service of type NodePort exposes the pods on a static port on each node's IP address, making the service accessible externally. This is a valid method for exposing a set of pods as a network service in Kubernetes.

Answer analysis

Option-by-option breakdown

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

  • ✓

    Creating a Service of type NodePort.

    Why this is correct

    Correct; NodePort exposes on a static port on each node.

  • ✗

    Creating a headless Service (clusterIP: None).

    Why it's wrong here

    Incorrect; headless services do not provide a single stable IP or load balancing.

  • ✓

    Creating an Ingress resource.

    Why this is correct

    Correct; Ingress provides HTTP/HTTPS routing to Services.

  • ✗

    Creating a Deployment with a label selector.

    Why it's wrong here

    Incorrect; Deployment manages pods, not networking.

  • ✓

    Creating a Service of type ClusterIP.

    Why this is correct

    Correct; ClusterIP provides a stable internal IP.

About these practice questions

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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.