CLF-C02 Billing, Pricing, and Support Practice Question
A company runs multiple applications across hundreds of Amazon EC2 instances in several AWS accounts. The finance team needs to perform daily cost analysis by combining detailed usage data (including instance type, operating system, and custom cost allocation tags) with their own business data stored in an on-premises data warehouse. They want to export cost and usage data from AWS at the most granular level possible (down to each individual resource and hour) into their on-premises system for custom reporting. Which AWS tool should they use to achieve this?
⚠ Common exam trap
It's easy for candidates to confuse AWS Cost Explorer's visualization capabilities with the raw data export requirement, overlooking that CUR is the only service that provides hourly, resource-level data with custom tags for external integration.
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 Cost and Usage Report
AWS Cost and Usage Report (CUR) is the correct choice because it provides the most granular cost and usage data available, down to individual resource IDs and hourly intervals, and supports custom cost allocation tags. It can be delivered to an Amazon S3 bucket and then integrated with on-premises systems for custom reporting, meeting the finance team's requirement for detailed daily cost analysis combined with their own business data.
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
AWS Cost Explorer offers a visual, interactive dashboard for exploring historical cost and usage patterns, along with forecasting capabilities to project future spend. However, it is an inline analytics tool that displays aggregated data through charts and tables, and it does not provide the underlying raw hourly, resource-tagged data as exportable files to an S3 bucket; its CSV exports are limited to the visual-level aggregations and cannot deliver the full custom-tagged, hourly dataset needed for advanced downstream analysis.
When this WOULD be correct
A company needs to visualize and analyze AWS cost and usage trends over time through a web interface, without requiring raw data export to an on-premises system. Cost Explorer would be the correct tool for interactive cost analysis and forecasting.
- ✗
AWS Budgets
Why it's wrong here
AWS Budgets is a monitoring and notification service that lets you set custom cost and usage thresholds, then alerts you when actual or forecasted spend exceeds those thresholds. It is designed for proactive alerting and simple tracking, not for delivering comprehensive raw billing data; it does not generate or export files with hourly granularity or resource-level detail, and it cannot provide the multi-dimensional tagging and usage breakdown required for detailed custom reporting beyond the budget-management context.
When this WOULD be correct
A company wants to receive alerts when their monthly AWS costs exceed a predefined threshold, or to forecast future spending based on historical trends.
- ✓
AWS Cost and Usage Report
Why this is correct
The AWS Cost and Usage Report delivers the most comprehensive set of cost and usage data, including hourly granularity, resource-level details, and custom tags. It is delivered to an S3 bucket, enabling further analysis or integration with other systems.
- ✗
AWS Trusted Advisor
Why it's wrong here
AWS Trusted Advisor is an advisory tool that evaluates your accounts against AWS best practices across cost optimization, security, performance, service limits, and fault tolerance. While it flags potential savings opportunities and idle resource suggestions, it does not produce raw, hourly, resource-level cost and usage data files; it only offers high-level status checks and recommendations, which are not exportable as granular datasets for custom reporting or further system integration.
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 Cost and Usage ReportCorrect answer▾
Why this is correct
The AWS Cost and Usage Report delivers the most comprehensive set of cost and usage data, including hourly granularity, resource-level details, and custom tags. It is delivered to an S3 bucket, enabling further analysis or integration with other systems.
✗AWS Cost ExplorerWrong answer — click to see why▾
Why this is wrong here
AWS Cost Explorer provides visualization and analysis of cost data but does not support exporting detailed hourly usage data with custom tags to an on-premises system. It is designed for interactive querying, not granular data export.
★ When this WOULD be the correct answer
A company needs to visualize and analyze AWS cost and usage trends over time through a web interface, without requiring raw data export to an on-premises system. Cost Explorer would be the correct tool for interactive cost analysis and forecasting.
Why candidates choose this
Candidates may think Cost Explorer can export detailed data because it offers CSV downloads, but those exports are aggregated and lack the granularity (hourly, per-resource, custom tags) required for integration with an on-premises data warehouse.
✗AWS BudgetsWrong answer — click to see why▾
Why this is wrong here
AWS Budgets is used for setting cost and usage alerts, not for exporting granular hourly cost and usage data to an on-premises system.
★ When this WOULD be the correct answer
A company wants to receive alerts when their monthly AWS costs exceed a predefined threshold, or to forecast future spending based on historical trends.
Why candidates choose this
Candidates may confuse Budgets with Cost and Usage Report because both relate to cost management, but Budgets focuses on alerts and tracking against limits, not detailed data export.
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?”
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
Go deeper
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About these practice questions
Courseiva writes every CLF-C02 question from scratch — 988 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
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.