KCNA Container Orchestration Practice Question
A developer wants to run a containerized application locally for development. Which tool is most appropriate?
⚠ Common exam trap
A common mix-up: candidates confuse container runtimes (CRI-O, containerd) or orchestration platforms (Kubernetes) with development tools, assuming any container-related technology can run apps locally, but the KCNA exam specifically tests the understanding that Docker Compose is the standard for local multi-container development.
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
✓
Docker Compose
Docker Compose is the most appropriate tool for running a containerized application locally during development because it allows you to define and manage multi-container applications using a simple YAML file. It handles container lifecycle, networking, and volume mounts with a single `docker compose up` command, making it ideal for local development workflows where rapid iteration and simplicity are key.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
CRI-O
Why it's wrong here
CRI-O is a Kubernetes Container Runtime Interface implementation for orchestrating pods on cluster nodes, not a developer workstation runtime. It is tempting because it runs OCI containers, and it would be correct when configuring the container runtime on a Kubernetes worker node rather than a laptop.
- ✓
Docker Compose
Why this is correct
Docker Compose defines and runs multi-container applications from a single YAML file, orchestrating linked services, networks and volumes with one command. For local development requiring several cooperating containers, this satisfies the need to start the whole stack together rather than managing each container individually.
- ✗
containerd
Why it's wrong here
containerd is a daemon exposing a CRI/gRPC API for orchestrating containers on servers, lacking the developer-facing build, run and image workflow. It is tempting because Docker itself uses containerd underneath, and it would be correct as the runtime layer beneath Kubernetes or Docker Engine on a host.
- ✗
Kubernetes
Why it's wrong here
Kubernetes orchestrates containers across a cluster of nodes; running it locally for one developer's application adds control-plane overhead without benefit. It is tempting because it runs containers and mirrors production, and it would be correct when testing scheduling, scaling or multi-service deployments rather than a single local container.
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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.