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KCNA Kubernetes Fundamentals Practice Question

Which TWO of the following are valid ways to expose a Deployment as a Service?

⚠ Common exam trap

Candidates often confuse 'kubectl run --expose' (which creates a Pod, not a Deployment) with exposing an existing Deployment, or incorrectly assume that a Deployment can contain a Service definition within its own YAML manifest.

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

Run 'kubectl expose deployment my-deployment --port=80 --target-port=8080'

'kubectl expose deployment my-deployment --port=80 --target-port=8080' creates a Service object that selects pods based on the labels automatically assigned to the Deployment's pods. This command generates a ClusterIP Service by default, mapping port 80 on the Service to port 8080 on the pods, which is a standard and valid method to expose a Deployment.

Answer analysis

Option-by-option breakdown

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

  • Run 'kubectl expose deployment my-deployment --port=80 --target-port=8080'

    Why this is correct

    This command creates a Service based on the Deployment's pod labels.

  • Edit the Deployment and set 'spec.serviceName'

    Why it's wrong here

    There is no such field in a Deployment spec.

  • Run 'kubectl run my-deployment --image=nginx --expose'

    Why it's wrong here

    This creates a pod and a Service, but does not use an existing Deployment.

  • Add a 'service' section to the Deployment's YAML manifest

    Why it's wrong here

    Deployments do not have a service section; Services are separate resources.

  • Create a Service YAML with a selector matching the Deployment's pod labels

    Why this is correct

    A Service with appropriate selector will route traffic to the pods managed by the Deployment.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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