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CV0-004 Practice Question: A company uses a cloud provider's container…
A company uses a cloud provider's container orchestration service (e.g., EKS, AKS, GKE) to run a set of microservices. The current cluster uses three worker nodes, each of size m5.large (2 vCPU, 8 GB RAM). The operations team notices that CPU utilization on the worker nodes averages 80% during peak hours, and some pods are being evicted due to resource pressure. The team wants to ensure that the cluster can handle a 50% increase in traffic without performance degradation. Which action should the cloud architect take?
⚠ Common exam trap
A common mix-up: candidates assume horizontal scaling (adding more nodes or pods) is always the answer, but when the existing node type is already saturated, vertical scaling (larger instance type) is required to provide the necessary per-node capacity to handle the increased load without performance degradation.
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
✓
Create a new node pool using a larger instance type, such as m5.xlarge, and migrate the pods
The current nodes are already at 80% CPU utilization during peak hours, and a 50% traffic increase would push them to 120% utilization, causing severe performance degradation and pod evictions. Scaling to a larger instance type (m5.xlarge with 4 vCPU, 16 GB RAM) doubles the available resources per node, providing sufficient headroom to absorb the traffic spike without requiring additional nodes or architectural changes. This directly addresses the resource pressure by increasing the capacity per node, which is more efficient than scaling out horizontally when the existing node type is already saturated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Configure horizontal pod autoscaling to scale out pods automatically
Why it's wrong here
Horizontal pod autoscaling will not help if nodes are already saturated; it may cause more evictions.
- ✓
Create a new node pool using a larger instance type, such as m5.xlarge, and migrate the pods
Why this is correct
Larger instances provide more resources per node, addressing the CPU pressure and accommodating traffic increase.
- ✗
Implement cluster autoscaler to add more nodes of the same type during peak
Why it's wrong here
Adding more m5.large nodes could help, but larger nodes may be more cost-efficient for CPU-intensive workloads; however, this is plausible but not the best answer because vertical scaling with larger nodes is often more effective when workloads require more resources per pod.
- ✗
Reduce the CPU and memory requests in the pod specifications to allow more pods per node
Why it's wrong here
Reducing requests may lead to performance issues and potential instability under load.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CV0-004 practice question is part of Courseiva's free CompTIA 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 CV0-004 exam.