AWS Certified Solutions Architect Professional SAP-C02 Practice Question
Your company operates 150 AWS accounts under a single AWS Organizations management account. The FinOps team needs to be notified in a Slack channel whenever the consolidated monthly forecast for the organization is more than 5 percent above a 250 000 USD budget baseline, or when any AWS service in any account experiences an unexpected one-day cost increase greater than 1 000 USD. The solution must rely only on managed AWS services, involve no custom code or scheduled queries, and minimize ongoing operations work. Which combination of AWS services meets these requirements in the MOST cost-effective way?
Export AWS Cost and Usage Reports to Amazon S3, crawl them with AWS Glue, and schedule an Amazon Athena query from an AWS Lambda function to identify forecast overruns and daily service spikes, then post the results to Slack using a webhook.
Enable AWS Trusted Advisor cost-optimization checks in every account and create Amazon EventBridge rules that forward check status changes to an SNS topic integrated with AWS Chatbot to notify the Slack channel.
Enable billing metrics in Amazon CloudWatch and create two CloudWatch alarms: one for the TotalEstimatedCharge metric that fires at 5 percent above the baseline and another using CloudWatch anomaly detection for a 1 000 USD spike. Send both alarms to Slack via SNS and AWS Chatbot.
Configure an organization-wide cost budget in AWS Budgets with a 5 percent forecast-threshold alert. Add an AWS Cost Anomaly Detection monitor at the service level with a 1 000 USD alert threshold. Publish both alerts to an Amazon SNS topic that is connected to the Slack channel through AWS Chatbot.
AWS Budgets can generate notifications based on either actual or forecasted spend and can be scoped to the entire organization; the notification is sent through Amazon SNS and can be surfaced in Slack by mapping the SNS topic to a channel with AWS Chatbot. AWS Cost Anomaly Detection provides organization-wide, service-level monitors that use machine learning to identify one-day cost spikes and can send alerts-also through SNS-to the same Chatbot channel. This solution is fully managed and requires no custom code.
CloudWatch billing alarms trigger only on current estimated charges and have no forecast logic, and CloudWatch anomaly detection cannot evaluate service-level cost data. Building a pipeline with Cost and Usage Reports, Athena, and Lambda introduces custom code and operational overhead. Trusted Advisor cost checks highlight opportunities for savings but do not emit budget or anomaly events tied to specific monetary thresholds. Therefore, the Budgets + Cost Anomaly Detection + SNS + Chatbot combination is the most appropriate and cost-efficient choice.
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