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Difficulty: MediumAWS Cost Monitoring, Budgeting, and Optimization Tool Analysis

A company runs a web application that experiences dynamic seasonal traffic spikes, leading to fluctuations in monthly AWS expenditures. The finance team wants a solution that proactively detects unusual, sudden cost increases caused by application anomalies or unauthorized resource provisioning. The solution must minimize administrative overhead and must not rely on manually defined static thresholds. Which AWS service or feature should a solutions architect recommend to meet these requirements?

  1. AWS Cost Anomaly Detection with an AWS services monitor and an Amazon Simple Notification Service (Amazon SNS) subscription.Answer
  2. B
    AWS Budgets with a daily cost budget configured with a fixed alert threshold of 120% of expected daily costs.
  3. C
    AWS Cost Explorer with a scheduled weekly report sent to the finance team via email.
  4. D
    AWS Trusted Advisor with a weekly email notification configured to report on the Cost Optimization check results.

Answer

AWS Cost Anomaly Detection with an AWS services monitor and an Amazon Simple Notification Service (Amazon SNS) subscription.
The correct option is the choice containing AWS Cost Anomaly Detection with an AWS services monitor. AWS Cost Anomaly Detection uses machine learning to dynamically model cost baselines based on historical patterns. It automatically adjusts to traffic variations and alerts when spend deviates significantly, satisfying the requirement to avoid static thresholds and minimize administration.

Step-by-Step Solution

1
Analyze the requirements: detect cost anomalies proactively, minimize administrative overhead, and avoid static thresholds.
Identified that machine learning-based dynamic baseline detection is required.
Static thresholds are unsuitable due to seasonal dynamic traffic fluctuations.
2
Evaluate AWS Cost Anomaly Detection against other monitoring tools.
AWS Cost Anomaly Detection dynamically establishes baselines and alerts via SNS.
It addresses the dynamic nature of the traffic and provides proactive alerting without manual threshold configuration.

Key Concept

Machine learning-based dynamic cost anomaly alerting vs. static threshold budgeting
Estimated Time:1m 30s
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Topics

AWS Cost Monitoring, Budgeting, and Optimization Tool Analysis