CLF-C02 Cloud Concepts Practice Question
A company is designing a cloud architecture and wants to follow the Well-Architected Framework principle of 'stop guessing capacity.' Which AWS feature directly supports this principle?
⚠ Common exam trap
It's easy for candidates to confuse 'stop guessing capacity' with cost optimization tools like Cost Explorer or Trusted Advisor, but the principle is specifically about dynamic scaling to match demand, not about analyzing or reducing costs after the fact.
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
✓
Amazon EC2 Auto Scaling based on CloudWatch metrics
Amazon EC2 Auto Scaling directly supports the 'stop guessing capacity' principle by automatically adjusting the number of EC2 instances in response to real-time demand using CloudWatch metrics (e.g., CPU utilization, memory). This eliminates the need to manually provision for peak loads, ensuring you only pay for what you need while maintaining performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
AWS CloudFormation for repeatable deployments
Why it's wrong here
AWS CloudFormation is an infrastructure-as-code service that provisions and manages AWS resources from templates, enabling consistent, repeatable deployments. However, it is a declarative provisioning tool, not a dynamic scaling engine; it does not monitor runtime utilization metrics or automatically modify capacity in response to demand. CloudFormation can deploy an Auto Scaling group, but the scaling policy execution remains the job of EC2 Auto Scaling, not CloudFormation itself.
- ✓
Amazon EC2 Auto Scaling based on CloudWatch metrics
Why this is correct
Amazon EC2 Auto Scaling uses CloudWatch metrics such as CPU utilization, network traffic, or custom application metrics to automatically add or remove EC2 instances to maintain a desired performance level. With target tracking policies, you can set an average utilization target and the service continuously adjusts capacity to match actual demand, preventing both over-provisioning waste and under-provisioning slowdowns. This makes it the correct choice for automatically adjusting capacity based on demand.
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AWS Trusted Advisor cost optimization checks
Why it's wrong here
AWS Trusted Advisor cost optimization checks perform a point-in-time audit of your AWS environment and identify idle instances, underutilized Amazon EBS volumes, or other inefficiencies. It provides recommendations in the AWS Management Console and can send alerts, but it is an advisory tool with no direct ability to resize or terminate resources. While it can guide you toward cost savings, it does not automatically adjust capacity in reaction to changing demand.
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AWS Cost Explorer right-sizing recommendations
Why it's wrong here
AWS Cost Explorer right-sizing recommendations analyze historical usage patterns to suggest more appropriate EC2 instance families or sizes for your existing workloads. These recommendations are designed to help you save money on stable, predictable workloads, but they are delivered as static reports that you act on manually. They do not react to real-time demand fluctuations and cannot automatically change capacity, making them unsuitable for dynamic scaling requirements.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CLF-C02 practice question is part of Courseiva's free Amazon Web Services 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 CLF-C02 exam.