KCNA Container Orchestration Practice Question
Which of the following is a benefit of using an orchestrator like Kubernetes?
⚠ Common exam trap
Many exam-takers confuse 'automatic scaling' with 'manual scaling' or assume Kubernetes guarantees zero downtime, but the exam tests the specific benefit of automated, policy-driven scaling based on metrics like CPU utilization.
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
✓
Automatic scaling based on CPU utilization
Kubernetes, as a container orchestrator, provides built-in Horizontal Pod Autoscaling (HPA) that automatically adjusts the number of pod replicas based on observed CPU utilization (or custom metrics). This is a core benefit because it allows applications to handle varying load without manual intervention, improving resource efficiency and availability.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Direct access to the host kernel for performance tuning
Why it's wrong here
Containers share the host kernel but do not provide direct access for tuning in a typical orchestration context.
- ✗
Guaranteed zero downtime for all updates
Why it's wrong here
Kubernetes provides strategies for zero-downtime updates but does not guarantee it in all scenarios.
- ✓
Automatic scaling based on CPU utilization
Why this is correct
Horizontal Pod Autoscaler can automatically scale pods based on CPU or custom metrics.
- ✗
Manual scaling based on traffic spikes
Why it's wrong here
Kubernetes supports automatic scaling, not just manual.
Go deeper
Related to this question
Learn chapter
Kubernetes Overview and Core Components
Key term
ReplicaSet and Replication
A ReplicaSet ensures a specified number of identical pod instances are running at all times in Kubernetes, using replication to maintain availability and stability.
Key term
Horizontal Pod Autoscaling
Horizontal Pod Autoscaling automatically adjusts the number of pod replicas in a Kubernetes cluster based on observed CPU, memory, or custom metrics.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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