CV0-004 Operations and Support Practice Question
A company wants to reduce costs by identifying underutilized EC2 instances and receiving recommendations to downsize them. Which AWS service provides rightsizing recommendations based on historical utilization metrics?
⚠ Common exam trap
CV0-004 often tests cost optimization tools, and candidates might confuse Compute Optimizer with Trusted Advisor or Cost Explorer, especially regarding rightsizing recommendations.
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
✓
AWS Compute Optimizer
AWS Compute Optimizer analyzes historical utilization metrics of EC2 instances and provides rightsizing recommendations to downsize underutilized instances, helping reduce costs. It uses machine learning to generate recommendations based on CPU, memory, and other metrics.
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 Cost Explorer
Why it's wrong here
Cost Explorer provides cost analysis, not rightsizing recommendations.
- ✗
AWS Trusted Advisor
Why it's wrong here
Trusted Advisor provides cost optimization but not specific rightsizing recommendations like Compute Optimizer.
- ✗
AWS Auto Scaling
Why it's wrong here
Auto Scaling adjusts capacity through scaling policies; it does not analyse historical utilisation to produce rightsizing recommendations. It is tempting because it manages instance counts, but that is horizontal scaling, not the vertical downsizing advice AWS Compute Optimizer delivers from CloudWatch metrics.
- ✓
AWS Compute Optimizer
Why this is correct
AWS Compute Optimizer analyses historical utilisation metrics—such as CPU, memory, and network throughput—from Amazon CloudWatch to generate rightsizing recommendations for EC2 instances. This directly satisfies the company’s requirement to identify underutilised instances and receive downsizing suggestions, as the service uses machine learning to compare observed usage against instance family specifications and outputs specific instance type changes.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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