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

A company's finance team wants to establish a proactive cost management strategy for its AWS multi-account environment. The strategy must alert the operations team before the monthly AWS spend exceeds the budget, and also identify sudden, irregular cost spikes across services without manual intervention. Which combination of actions should a Solutions Architect recommend to meet these requirements? (Select TWO.)

  1. Configure AWS Cost Anomaly Detection to monitor AWS services, using machine learning models to detect unusual spend spikes, and send alerts through Amazon Simple Notification Service (Amazon SNS).Answer
  2. Create an AWS Budget that monitors monthly costs and set up alert thresholds based on forecasted costs to notify the team before the budget is exceeded.Answer
  3. C
    Create a daily scheduled AWS Cost Explorer report that exports results to Amazon S3 to proactively alert the operations team about real-time spend spikes.
  4. D
    Purchase Compute Savings Plans and apply them to all Amazon RDS databases and Amazon DynamoDB tables to proactively cap the billing spikes from database services.
  5. E
    Configure AWS Budgets to automatically purchase Compute Savings Plans when Amazon RDS usage spikes to optimize costs in real time.

Answer

The correct actions are configuring AWS Cost Anomaly Detection to monitor services using machine learning models for anomaly alerts, and creating an AWS Budget with alert thresholds based on forecasted costs.
The correct actions are implementing AWS Cost Anomaly Detection to dynamically identify unexpected spikes using machine learning models, and creating AWS Budgets with alerts based on forecasted spend to proactively notify the operations team prior to exceeding thresholds.

Step-by-Step Solution

1
Identify the requirement for detecting sudden, irregular cost spikes without manual intervention.
Determine that AWS Cost Anomaly Detection uses machine learning models to dynamically establish baselines and identify anomalies.
Cost anomalies are unexpected and variable, making static threshold-based alerts ineffective compared to machine learning.
2
Identify the requirement for alerting the team before the monthly budget is exceeded.
Determine that AWS Budgets supports alert thresholds based on forecasted monthly costs.
Evaluating forecasted costs allows the operations team to receive notifications proactively before the limit is reached, unlike actual spend alerts.

Key Concept

Distinguishing between proactive planning tools (AWS Budgets), reactive/retrospective analysis tools (AWS Cost Explorer), and automated monitoring tools (AWS Cost Anomaly Detection).
Estimated Time:1m 30s
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Topics

AWS Cost Monitoring, Budgeting, and Optimization Tool Analysis