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KCNA Container Orchestration Practice Question

Which TWO of the following are characteristics of a microservices architecture? (Select 2)

⚠ Common exam trap

CNCF often tests the misconception that microservices require a shared database for consistency, but the correct pattern is database-per-service to maintain loose coupling and independent scalability.

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

Independent deployment of services

Microservices architecture is designed to allow each service to be developed, tested, and deployed independently without affecting other services. This independence is achieved through well-defined APIs and versioning strategies, enabling continuous delivery and rapid iteration. In Kubernetes, for example, each microservice can be packaged as a separate container and deployed via its own Deployment resource, allowing updates to one service without downtime for the entire application.

Answer analysis

Option-by-option breakdown

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

  • Independent deployment of services

    Why this is correct

    Each microservice can be deployed independently.

  • Tight coupling between services

    Why it's wrong here

    Microservices are loosely coupled.

  • Loose coupling between services

    Why this is correct

    Microservices communicate via APIs and are loosely coupled.

  • Monolithic codebase

    Why it's wrong here

    Microservices decompose into smaller services.

  • Shared database for all services

    Why it's wrong here

    Microservices often have their own databases.

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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.