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KCNA Cloud Native Architecture Practice Question

Which TWO of the following are core principles of cloud native architecture according to the CNCF?

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

Microservices architecture

Options B and C are correct. Microservices architecture and dynamic orchestration are core principles of cloud native architecture according to the CNCF. Option A (static scaling) is not a core principle; cloud native emphasizes dynamic scaling. Option D (manual infrastructure management) contradicts the principle of automation. Option E (monolithic deployment) is antithetical to the microservices principle. Thus, the correct answers are B and C.

Answer analysis

Option-by-option breakdown

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

  • Static scaling based on predefined thresholds

    Why it's wrong here

    Cloud native uses dynamic, automated scaling, not static scaling.

  • Microservices architecture

    Why this is correct

    Microservices decompose applications into small, independent services, a core cloud native principle.

  • Dynamic orchestration

    Why this is correct

    Dynamic orchestration (e.g., Kubernetes) is a key cloud native principle for managing containers.

  • Manual infrastructure management

    Why it's wrong here

    Cloud native emphasizes automation and Infrastructure as Code, not manual management.

  • Monolithic deployment

    Why it's wrong here

    Monolithic deployment is the opposite of cloud native, which favors microservices.

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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.