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KCNA Cloud Native Application Delivery Practice Question

Which TWO of the following are deployment patterns that can be used to update applications with minimal downtime? (Choose two.)

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

Blue-green deployment

Blue-green and canary are deployment patterns that reduce downtime by gradually shifting traffic. Rolling update is also a pattern but the question asks for minimal downtime; blue-green and canary are specifically designed for that.

Answer analysis

Option-by-option breakdown

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

  • DaemonSet deployment

    Why it's wrong here

    DaemonSet runs pods on all nodes; it's not a deployment pattern with minimal downtime.

  • Sidecar deployment

    Why it's wrong here

    A sidecar is a pattern for adding functionality to a pod, not a deployment strategy.

  • Recreate deployment

    Why it's wrong here

    A recreate deployment terminates all existing pods before creating new ones, causing a period of total unavailability that violates the minimal-downtime requirement. It is tempting because it is the simplest method for ensuring a clean state, and would be correct when the application can tolerate a brief full outage, such as during a scheduled maintenance window.

  • Blue-green deployment

    Why this is correct

    Blue-green deploys a new version alongside the old and switches traffic after testing.

  • Canary deployment

    Why this is correct

    Canary gradually shifts a small percentage of traffic to the new version.

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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.