A company is experiencing unexpected cost increases across several AWS accounts. The finance team wants to implement a cost-governance strategy to receive alerts when monthly spending is projected to exceed their defined budget. Additionally, they want to automatically detect and receive notifications about sudden, unexpected cost spikes as close to real-time as possible. Which of the following actions should the Solutions Architect recommend to meet these requirements? (Select TWO)
- Create a custom budget in AWS Budgets, and configure an alert threshold based on forecasted costs to notify the team when projected spending exceeds the budget.Answer
- BSet up a daily scheduled report in AWS Cost Explorer to run every morning and trigger an Amazon SNS notification if the report indicates that the monthly budget has been exceeded.
- Configure AWS Cost Anomaly Detection with a cost monitor and subscribe to alerts using Amazon SNS to receive notifications when sudden, unexpected cost spikes occur.Answer
- DEnable AWS Billing Conductor to monitor real-time cost spikes at the account level and trigger automated Service Control Policies (SCPs) to terminate resources when costs exceed a threshold.
- ECreate a CloudWatch billing alarm monitoring the EstimatedCharges metric with a 5-minute resolution to receive near real-time alerts on cost anomalies.
Answer
Creating a custom budget in AWS Budgets based on forecasted costs, and configuring AWS Cost Anomaly Detection with a cost monitor and alert subscription.
The correct combination involves configuring AWS Budgets to alert on forecasted cost overruns, which provides a proactive warning before the budget is exceeded, and setting up AWS Cost Anomaly Detection with a monitor and subscription to receive notifications of sudden cost spikes. These tools are built specifically for proactive, automated cost control and anomaly notification.
Step-by-Step Solution
Key Concept
AWS Budgets and AWS Cost Anomaly Detection are designed for proactive cost alerting, whereas AWS Cost Explorer is intended for retrospective cost analysis and visualization.