AWS Certified Solutions Architect Professional SAP-C02 Practice Question
A large enterprise uses AWS Organizations to manage dozens of member accounts. The finance team has reported a significant, unexpected increase in AWS costs. The existing approach of using the basic views in AWS Cost Explorer is not providing the necessary granular insights to identify the specific services, API operations, or tagged resources responsible for the cost overrun. The company needs a long-term, scalable solution to perform detailed cost and usage analysis and accurately allocate costs to various business units based on resource tags. Which approach is the MOST cost-effective and scalable for achieving this objective?
Create a consolidated AWS Budget for the entire organization with an alert that notifies the finance team via an SNS topic. Configure multiple, service-specific budgets for high-cost services to narrow down the source of overages.
Enable AWS CloudTrail across the organization, storing logs in a central S3 bucket. Analyze the CloudTrail logs using Amazon S3 Select to identify high-frequency API calls that correlate with cost increases and attribute them to the responsible teams.
Configure an AWS Cost and Usage Report (CUR) to be delivered to an Amazon S3 bucket. Use Amazon Athena to query the CUR data directly in S3. Build detailed, interactive dashboards in Amazon QuickSight using the Athena query results to visualize cost drivers and allocate expenses based on tags.
Enable hourly and resource-level granularity in AWS Cost Explorer for all member accounts. Activate all necessary cost allocation tags in the billing console. Use the advanced filtering and grouping features within Cost Explorer to manually investigate the cost spikes.
The correct approach is to use the AWS Cost and Usage Report (CUR) together with Amazon Athena and Amazon QuickSight. CUR delivers the most comprehensive, line-item-level billing dataset-including resource IDs and API operations-to an Amazon S3 bucket for durable, long-term storage. Amazon Athena is a serverless, interactive query service that can run SQL directly on the Parquet-formatted CUR files, so you pay only for data scanned and never manage infrastructure. Amazon QuickSight can use Athena as a data source to build rich, tag-based dashboards that provide charge-back and show-back views across all linked accounts.
Using only AWS Cost Explorer is insufficient for enterprise-scale forensic analysis. Although Cost Explorer can filter or group by API operation and tags, its resource-level and hourly data is retained for only 14 days and each view is limited to the top 5,000 resources per service, so it cannot satisfy long-term, organization-wide requirements.
AWS Budgets is designed for alerting when spend crosses a threshold; it does not let you run ad-hoc SQL queries or create custom dashboards from raw line-item data.
AWS CloudTrail records API activity but contains no cost or rate information, so correlating CloudTrail events to actual spend would require stitching two data sources together and still would not surface the true charges.
Therefore, CUR + Athena + QuickSight is the most cost-effective and scalable choice.
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AWS Certified Solutions Architect Professional SAP-C02
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