Answer: AWS Cost Anomaly Detection

## Explanation **AWS Cost Anomaly Detection** is the correct answer because: - **Machine Learning Capabilities**: AWS Cost Anomaly Detection uses machine learning to analyze your cost and usage patterns - **Continuous Monitoring**: It continuously monitors your AWS spending in real-time - **Anomaly Detection**: It automatically detects unusual spending patterns and alerts you when anomalies occur - **Root Cause Analysis**: The service helps identify the root causes of cost anomalies - **Proactive Cost Management**: Enables proactive cost optimization by catching unexpected spending early **Why other options are incorrect**: - **Amazon Lookout for Metrics**: This service detects anomalies in business metrics, not specifically focused on cost monitoring - **AWS Budgets**: This service helps you set custom budgets and alerts, but doesn't use machine learning for anomaly detection - **Amazon CloudWatch**: This is a monitoring service for AWS resources and applications, not specifically designed for cost anomaly detection AWS Cost Anomaly Detection is specifically designed to help organizations identify unexpected spending patterns using advanced machine learning algorithms.

Author: Ritesh Yadav