AWS Certified Solutions Architect Professional SAP-C02 Practice Question
A large enterprise manages about 300 AWS accounts that are linked in AWS Organizations and stores multiple petabytes of data in hundreds of Amazon S3 buckets. The cloud center of excellence must implement a visibility solution that meets these requirements:
Provide a single interactive dashboard that shows daily metrics for storage bytes, object counts, noncurrent version bytes, and incomplete multipart upload bytes across all accounts.
Allow drill-down to prefixes that contribute at least 5% of a bucket's storage so that cost drivers can be isolated quickly.
Surface contextual AWS recommendations when buckets are missing lifecycle rules that would lower storage costs.
Minimize operational overhead and avoid creating or managing custom data-processing pipelines.
Which approach will meet these requirements?
Enable Amazon S3 Storage Class Analysis on each bucket and export the results to Amazon S3 for processing with AWS Glue and visualization in Amazon QuickSight.
Create an organization-level Amazon S3 Storage Lens dashboard, upgrade it to advanced metrics and recommendations, and enable prefix aggregation with a 5 percent threshold.
Turn on Amazon S3 Inventory for every bucket, store the reports in a central S3 bucket, and query the data with Amazon Athena and Amazon QuickSight.
Use AWS Cost Explorer with resource-level data and cost-allocation tags to create daily usage reports and configure AWS Budgets with Amazon SNS notifications.
An organization-level Amazon S3 Storage Lens dashboard satisfies every requirement. Upgrading the dashboard to advanced metrics and recommendations adds the noncurrent version and incomplete multipart upload metrics and provides contextual cost-optimization recommendations. Enabling prefix aggregation with a 5 percent threshold extends all selected metrics to the prefix dimension, allowing the team to identify heavy prefixes quickly from the same dashboard. Because Storage Lens is an AWS-managed service, creating the dashboard requires no data collection pipelines or additional infrastructure.
The other options either lack the necessary metrics and recommendations (AWS Cost Explorer), do not support prefix-level visibility across multiple accounts (S3 Storage Class Analysis), or require the team to build and maintain a custom reporting stack with S3 Inventory, Athena, and QuickSight-contradicting the low-overhead requirement.
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AWS Certified Solutions Architect Professional SAP-C02
Design Solutions for Organizational Complexity
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