CLF-C02 Billing, Pricing, and Support Practice Question
A company runs 200 Amazon EC2 instances for its web application. The finance team wants to identify instances that are over-provisioned or underutilized to reduce costs. The team needs automated recommendations that consider the instance's CPU, memory, and network utilization patterns over the past 14 days. Which AWS service should the team use?
⚠ Common exam trap
A common mix-up: candidates choose AWS Trusted Advisor because it is a well-known cost optimization tool, but they overlook that it only checks CPU utilization and ignores memory and network metrics, which are explicitly required in the question.
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 is the correct service because it uses machine learning to analyze historical utilization metrics (CPU, memory, network) over a specified lookback period (up to 93 days, but 14 days is supported) and generates actionable recommendations to right-size EC2 instances. It specifically identifies over-provisioned and underutilized instances, directly addressing the finance team's cost-reduction goal with automated, metric-driven insights.
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 Compute Optimizer
Why this is correct
AWS Compute Optimizer uses machine learning to analyze EC2 instance utilization metrics (CPU, memory, network, and EBS) over a configurable lookback period, typically 14 days up to 93 days. It generates actionable rightsizing recommendations for each instance, identifying overprovisioned resource types and suggesting more cost-efficient alternatives. This is precisely what the company needs to reduce costs across its 200 instances.
- ✗
AWS Trusted Advisor
Why it's wrong here
AWS Trusted Advisor includes a Cost Optimization category that flags issues like idle EC2 instances and underutilized EBS volumes using rule-based threshold checks. But these checks are limited to coarse-grained criteria and do not perform the deep, ML-driven analysis of 14 days of detailed utilization per instance that AWS Compute Optimizer offers. Consequently, it cannot produce comprehensive rightsizing recommendations for a large fleet of 200 running instances.
When this WOULD be correct
A company wants a high-level cost optimization check for its AWS account, including recommendations for idle resources, reserved instance usage, and underutilized Amazon EBS volumes, without needing detailed per-instance utilization metrics over a specific time window.
- ✗
AWS Cost Explorer
Why it's wrong here
AWS Cost Explorer provides visual dashboards and reports of historical cost and usage data, with filtering by service, linked account, or tags, plus forecasting of future spending. However, it does not analyze per-instance CPU or memory utilization patterns, so it cannot recommend specific EC2 instance type changes. It answers 'how much are we spending' rather than 'which instances should be resized'.
When this WOULD be correct
A company wants to visualize and analyze its AWS spending and usage over time, identify cost trends, and create custom reports to understand which services or accounts drive costs. Cost Explorer would be the correct service for this scenario.
- ✗
AWS Budgets
Why it's wrong here
AWS Budgets enables you to set custom cost and usage thresholds and receive alerts when your spending approaches or exceeds those limits. It is purely a monitoring and alerting service, with no access to EC2 instance utilization metrics or recommendation engine. Therefore, it cannot suggest any instance type changes or rightsizing actions, making it irrelevant to the company's goal of reducing EC2 costs through utilization analysis.
When this WOULD be correct
A company wants to set a monthly cost limit for its EC2 usage and receive alerts when spending approaches or exceeds the budget. AWS Budgets would be the correct service to create cost budgets and trigger notifications.
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The CLF-C02 exam frequently reuses these exact scenarios with slightly different constraints.
✓AWS Compute OptimizerCorrect answer▾
Why this is correct
AWS Compute Optimizer uses machine learning to analyze EC2 instance utilization metrics (CPU, memory, network, and EBS) over a configurable lookback period, typically 14 days up to 93 days. It generates actionable rightsizing recommendations for each instance, identifying overprovisioned resource types and suggesting more cost-efficient alternatives. This is precisely what the company needs to reduce costs across its 200 instances.
✗AWS Trusted AdvisorWrong answer — click to see why▾
Why this is wrong here
AWS Trusted Advisor provides cost optimization checks, but it does not generate automated recommendations based on CPU, memory, and network utilization patterns over the past 14 days for individual EC2 instances. It offers general best practice checks, not instance-specific resource optimization.
★ When this WOULD be the correct answer
A company wants a high-level cost optimization check for its AWS account, including recommendations for idle resources, reserved instance usage, and underutilized Amazon EBS volumes, without needing detailed per-instance utilization metrics over a specific time window.
Why candidates choose this
Candidates may confuse Trusted Advisor's cost optimization category with Compute Optimizer's detailed resource optimization, as both provide cost-saving recommendations, but Trusted Advisor lacks the granular, utilization-based analysis for individual EC2 instances.
✗AWS Cost ExplorerWrong answer — click to see why▾
Why this is wrong here
AWS Cost Explorer provides historical cost data and usage trends but does not generate automated recommendations for right-sizing EC2 instances based on utilization patterns like CPU, memory, and network.
★ When this WOULD be the correct answer
A company wants to visualize and analyze its AWS spending and usage over time, identify cost trends, and create custom reports to understand which services or accounts drive costs. Cost Explorer would be the correct service for this scenario.
Why candidates choose this
Candidates may think Cost Explorer can provide cost optimization recommendations because it offers cost and usage insights, but it lacks the specific right-sizing recommendations that Compute Optimizer provides.
✗AWS BudgetsWrong answer — click to see why▾
Why this is wrong here
AWS Budgets allows you to set custom cost and usage budgets and receive alerts when thresholds are exceeded, but it does not provide automated recommendations for over-provisioned or underutilized EC2 instances based on utilization patterns.
★ When this WOULD be the correct answer
A company wants to set a monthly cost limit for its EC2 usage and receive alerts when spending approaches or exceeds the budget. AWS Budgets would be the correct service to create cost budgets and trigger notifications.
Why candidates choose this
Candidates may confuse AWS Budgets with a cost optimization tool, thinking it can analyze usage and provide recommendations, but its primary function is budget tracking and alerts, not resource optimization.
Analysis generated from the official CLF-C02blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
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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.