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Zorluk: KolayAWS Cost Monitoring, Budgeting, and Optimization Tool Analysis

A startup is deploying a new web application on AWS and wants to control their cloud spend. The startup requires a solution to proactively monitor their costs. Specifically, they need to receive alerts when their monthly costs are projected to exceed a predefined budget, and they must also be notified of any sudden, unexpected spending spikes.

Which of the following AWS services or features should the solutions architect configure to meet these requirements? (Select TWO.)

  1. AWS Budgets to define custom budgets and receive alerts when forecasted costs exceed the budget thresholdCevap
  2. AWS Cost Anomaly Detection to identify anomalous spend and send alerts when cost spikes occurCevap
  3. C
    AWS Cost Explorer to configure and send real-time email alerts when actual costs cross the budget limit
  4. D
    AWS Compute Savings Plans to monitor real-time resource usage and alert when spending limits are reached
  5. E
    AWS Systems Manager Parameter Store to automatically block service requests when budget thresholds are breached

Cevap

The startup should configure AWS Budgets to set up alerts for when forecasted monthly costs exceed limits, and AWS Cost Anomaly Detection to identify and receive alerts for sudden, unexpected spikes in usage costs.
The correct options are the features designed for proactive monitoring and alerting: AWS Budgets and AWS Cost Anomaly Detection. AWS Budgets allows you to set custom budgets that alert you when your actual or forecasted cost and usage exceed your budget thresholds. AWS Cost Anomaly Detection is a cost management service that uses machine learning to continuously monitor cost and usage to detect unusual spending patterns and trigger alerts.

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1
Analyze the requirement for receiving alerts when monthly costs are projected to exceed a predefined budget.
Identify AWS Budgets as the service that supports creating proactive alerts based on forecasted or actual cost thresholds.
AWS Budgets is specifically designed to let customers set custom cost and usage limits and send alerts if these limits are exceeded or forecasted to be exceeded.
2
Analyze the requirement for receiving notifications of sudden, unexpected spending spikes.
Identify AWS Cost Anomaly Detection as the service designed to detect unusual patterns and cost anomalies using machine learning.
AWS Cost Anomaly Detection uses machine learning to detect unusual spend anomalies and notify stakeholders immediately, helping prevent runaway costs from sudden spikes.
3
Evaluate the incorrect options to ensure they do not meet the proactive alerting requirements.
Eliminate AWS Cost Explorer, Compute Savings Plans, and Systems Manager Parameter Store.
AWS Cost Explorer is a retrospective reporting tool, Compute Savings Plans is a pricing discount mechanism, and Parameter Store is a configuration management service.

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AWS Cost Monitoring and Proactive Alerting
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AWS Cost Monitoring, Budgeting, and Optimization Tool Analysis