D " AWS Cost Anomaly Detection is an AWS cost management feature that uses machine learning to continually monitor your cost and usage to detect unusual spends."
ref
https://docs.aws.amazon.com/wellarchitected/latest/management-and-governance-guide/aws-cloud-financial-management-services-and-tools.html
AWS Cost Anomaly Detection uses machine learning to continuously monitor your AWS cost and usage. It automatically detects anomalies in your spending and usage patterns, alerting you when there are unusual spikes or drops in cost, so you can take action to manage your budget more effectively.
D. AWS Cost Anomaly Detection
AWS Cost Anomaly Detection uses machine learning algorithms to analyze your AWS usage and spending patterns, alerting you to any unexpected changes or anomalies that could indicate potential cost issues. This helps users to identify and address unusual spending patterns promptly, thus optimizing their cloud costs.
AWS Cost Anomaly Detection is a machine learning-powered service that analyzes your AWS cost and usage data to identify anomalies and provide insights into unusual spending patterns. It uses advanced algorithms to learn your unique spending patterns and automatically detects any deviations from the expected behavior. By proactively alerting you to potential cost anomalies, it helps you identify cost optimization opportunities and prevent unexpected cost overruns.
https://aws.amazon.com/aws-cost-management/aws-cost-anomaly-detection/
AWS Cost Anomaly Detection leverages advanced Machine Learning technologies to identify anomalous spend and root causes, so you can quickly take action
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