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Cloud Native ArchitecturehardMultiple SelectObjective-mapped

KCNA Cloud Native Architecture Practice Question

Which THREE are typical characteristics of a cloud-native application?

⚠ Common exam trap

CNCF often tests the misconception that cloud-native apps are just 'apps in the cloud' rather than specifically requiring containerization, microservices, and horizontal scaling; candidates may mistakenly associate long startup times or fragility with cloud-native, when those are anti-patterns.

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

Packaged as lightweight containers

Cloud-native applications are typically packaged as lightweight containers (e.g., Docker) that encapsulate the application and its dependencies, enabling fast startup, portability, and efficient resource utilization. Containers share the host OS kernel and have minimal overhead compared to virtual machines, which aligns with the cloud-native principle of agility and scalability.

Answer analysis

Option-by-option breakdown

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

  • Long startup times due to heavy initialization

    Why it's wrong here

    Containers start quickly.

  • Vulnerable to cascading failures

    Why it's wrong here

    Designed to be resilient.

  • Packaged as lightweight containers

    Why this is correct

    Containers are standard.

  • Designed for horizontal scaling

    Why this is correct

    Scale out by adding instances.

  • Built using microservices architecture

    Why this is correct

    Microservices enable agility.

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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.