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CCSP Practice Question: Your company, a global e-commerce platform,…
Your company, a global e-commerce platform, operates on a multi-cloud environment with workloads in AWS and Azure. You are the lead cloud architect. The platform experiences peak traffic during promotional events, with traffic spikes up to 10x normal. The application is composed of microservices running in containers orchestrated by Kubernetes on both clouds. Each cloud provider's Kubernetes cluster uses cluster autoscaler and horizontal pod autoscaler. Recently, during a flash sale, the AWS cluster failed to scale adequately, causing latency spikes and timeouts. AWS support indicated that the cluster hit a service quota limit for EC2 instances. You need to prevent this from recurring. You have the following options: A) Implement a multi-region deployment on AWS to distribute load. B) Pre-warm the AWS environment by requesting a service quota increase and using a pod priority class to ensure critical pods scale first. C) Migrate all workloads to Azure to simplify management. D) Use a global load balancer to route traffic to the cloud with the most available capacity. Which option is the best course of action?
⚠ Common exam trap
ISC2 often tests the misconception that scaling issues are always solved by distributing load (e.g., multi-region or global load balancers), when the actual root cause is a hard resource quota that prevents any new compute capacity from being provisioned. In this scenario, the correct first step is to address the quota limit directly.
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
✓
Pre-warm the AWS environment by requesting a service quota increase and using a pod priority class to ensure critical pods scale first.
The root cause is a hard AWS service quota for EC2 instances, which prevents the cluster autoscaler from launching new nodes. Requesting a quota increase removes this bottleneck, while pod priority classes ensure that critical microservices are scheduled first when resources are constrained, preventing latency spikes during flash sales.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Implement a multi-region deployment on AWS to distribute load.
Why it's wrong here
Implementing a multi-region deployment distributes load but does not resolve the underlying service quota limit that prevented node scaling.
- ✓
Pre-warm the AWS environment by requesting a service quota increase and using a pod priority class to ensure critical pods scale first.
Why this is correct
Directly addressing the service quota limit and using priority classes ensures scaling capability is not blocked, providing a permanent fix.
- ✗
Migrate all workloads to Azure to simplify management.
Why it's wrong here
Migrating all workloads is an extreme measure that does not address the immediate scaling issue and introduces unnecessary complexity and risk.
- ✗
Use a global load balancer to route traffic to the cloud with the most available capacity.
Why it's wrong here
Using a global load balancer can route traffic away from a constrained region, but it does not fix the quota limit on the AWS cluster, which could still cause issues if all regions become constrained.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CCSP practice question is part of Courseiva's free ISC2 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 CCSP exam.