KCNA Container Orchestration Practice Question
Which TWO of the following are benefits of using a container orchestration platform like Kubernetes? (Select 2)
⚠ Common exam trap
A common misconception is that container orchestration requires hypervisors or static infrastructure, but the correct understanding is that Kubernetes abstracts the underlying hardware and provides dynamic, self-healing, and auto-scaling capabilities without hypervisors.
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
✓
Self-healing of failed containers
Option C is correct because Kubernetes continuously reconciles desired state with actual state: its controllers (e.g., ReplicaSet, Deployment) detect crashed or unhealthy pods via liveness/readiness probes and restart or reschedule them, providing self-healing. Option E is correct because Kubernetes supports automatic scaling through the Horizontal Pod Autoscaler (HPA), which adjusts replica counts based on metrics such as CPU utilization or custom metrics, and the Cluster Autoscaler, which adds or removes nodes as demand changes. Option A is wrong because orchestration automates container scheduling and deployment rather than requiring manual placement. Option B is wrong because Kubernetes runs containers via a container runtime (containerd, CRI-O) on each node and does not require a hypervisor. Option D is wrong because orchestration platforms are designed for dynamic, declarative infrastructure that changes as workloads and scaling demands evolve.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Manual deployment of containers to servers
Why it's wrong here
Manual placement is what orchestration replaces; Kubernetes schedules pods automatically onto nodes based on resource requests, taints and affinity rules. It is tempting because manual deployment gives operators direct control, and would be correct for a small, static set of long-lived services where automation overhead is not justified.
- ✗
Requirement for a hypervisor on every node
Why it's wrong here
Kubernetes runs containers directly on a shared host kernel via a container runtime such as containerd, so no hypervisor layer is required per node. It is tempting because hypervisors do isolate VMs, and would be the right choice when running heterogeneous operating systems or requiring hardware-level separation between tenants.
- ✓
Self-healing of failed containers
Why this is correct
Kubernetes continuously reconciles desired state against actual state, restarting or rescheduling containers whose liveness probes fail or whose nodes die. This automated remediation removes manual intervention, directly delivering the self-healing benefit the question asks you to identify.
- ✗
Static infrastructure that never changes
Why it's wrong here
Kubernetes exists precisely to abstract and reschedule workloads across changing node pools, so immutable infrastructure contradicts its scheduling and self-healing model. It is tempting because stability sounds desirable, and static infrastructure would be the correct design for fixed-purpose appliances where no orchestration or dynamic placement is needed.
- ✓
Automatic scaling of applications based on demand
Why this is correct
The Horizontal Pod Autoscaler adjusts replica counts from observed CPU, memory or custom metrics, while the Cluster Autoscaler adds nodes. This elasticity matches capacity to demand automatically, which is precisely the scaling benefit the question requires.
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