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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

CNCF often tests the distinction between service types (ClusterIP, NodePort, LoadBalancer) and other networking objects like Ingress or ExternalName, trapping candidates who think Ingress is a service type or that ExternalName exposes pods.

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

ClusterIP

A ClusterIP service exposes the set of pods on a cluster-internal IP address, making it reachable only from within the cluster. This is the default service type in Kubernetes and is valid for internal communication between workloads. It does not provide external access, but it is a core method for exposing pods as a network service.

Answer analysis

Option-by-option breakdown

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

  • ClusterIP

    Why this is correct

    ClusterIP exposes the service on a cluster-internal IP; it is the default type.

  • NodePort

    Why this is correct

    NodePort exposes the service on each node's IP at a static port.

  • LoadBalancer

    Why this is correct

    LoadBalancer exposes the service externally using a cloud provider's load balancer.

  • Ingress

    Why it's wrong here

    Ingress is not a Service type; it is a separate API object that manages external access to services, typically HTTP.

  • ExternalName

    Why it's wrong here

    ExternalName maps a service to a DNS name; it does not expose pods.

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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.