This KCNA practice question tests your understanding of cloud native architecture. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A cloud-native application is designed with multiple microservices that need to handle a sudden spike in traffic without manual intervention. Which Kubernetes feature best enables this?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "best"
Why it matters: Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
VerticalPodAutoscaler
Why wrong: Adjusts resource requests, not replica count.
Cluster Autoscaler
Why wrong: Adjusts node count, not pods.
HorizontalPodAutoscaler
Automatically scales pod replicas based on CPU/memory or custom metrics.
PodDisruptionBudget
Why wrong: Ensures availability during voluntary disruptions.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
HorizontalPodAutoscaler
The HorizontalPodAutoscaler (HPA) automatically scales the number of pod replicas in a deployment based on observed CPU/memory utilization or custom metrics. This directly addresses the need to handle a sudden traffic spike without manual intervention by adding more pod instances to distribute the load.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
VerticalPodAutoscaler
Why it's wrong here
Adjusts resource requests, not replica count.
Cluster Autoscaler
Why it's wrong here
Adjusts node count, not pods.
HorizontalPodAutoscaler
Why this is correct
Automatically scales pod replicas based on CPU/memory or custom metrics.
Clue confirmation
The clue word "best" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
PodDisruptionBudget
Why it's wrong here
Ensures availability during voluntary disruptions.
Common exam traps
CNCF often tests the distinction between scaling pods (HPA) versus scaling nodes (Cluster Autoscaler) versus scaling pod resources (VPA), and the trap here is that candidates confuse 'scaling the application' with 'scaling the cluster infrastructure'.
Detailed technical explanation
HPA works by querying the metrics-server (or custom metrics API) at a default sync period of 15 seconds, then calculating the desired replica count using the formula: desiredReplicas = ceil[currentReplicas * (currentMetricValue / desiredMetricValue)]. In a real-world scenario, if a microservice experiences a 3x traffic spike, HPA can rapidly increase replicas from 3 to 9 within a minute, while VPA would only increase CPU limits on the existing 3 pods, leading to throttling and degraded performance.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A small business has 20 workstations on the 192.168.1.0/24 network and one public IP from its ISP. The router uses PAT (NAT overload) so all 20 devices share one public address using different source ports. NAT questions test whether you understand the four address terms and which direction each translation applies.
What to study next
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FAQ
Cloud Native Architecture — This question tests Cloud Native Architecture — Read the scenario before looking for a memorised answer..
The correct answer is: HorizontalPodAutoscaler — The HorizontalPodAutoscaler (HPA) automatically scales the number of pod replicas in a deployment based on observed CPU/memory utilization or custom metrics. This directly addresses the need to handle a sudden traffic spike without manual intervention by adding more pod instances to distribute the load.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "best". Signals that multiple options may be partially correct. Choose the option that most directly solves the exact problem described, not the one that sounds most complete.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
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.
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