A multinational enterprise uses AWS Organizations to manage a multi-account environment. The finance team needs to establish a proactive cost management strategy to meet two specific requirements. First, they must detect and receive alerts for sudden, unexpected spending anomalies within individual accounts without manually configuring static cost thresholds. Second, they need to monitor monthly data transfer costs across the entire organization and receive notifications before these costs exceed a set limit of .
Which combination of actions should a solutions architect recommend to satisfy these requirements? (Select TWO.)
- Create AWS Cost Anomaly Detection monitors for the individual accounts, and configure an Amazon SNS subscription with an immediate alerting frequency to notify the team of cost spikes.Answer
- Create a cost budget in AWS Budgets filtered by the data transfer usage type, and configure an alert threshold to trigger when forecasted monthly spend exceeds .Answer
- CCreate daily scheduled reports in AWS Cost Explorer filtered by data transfer usage, and configure a CloudWatch alarm to trigger when the report highlights a forecasted budget overrun.
- DUse AWS Billing Conductor to create a proforma billing group, and configure custom billing rules to trigger alert notifications when the group's data transfer charges exceed .
- ECreate an AWS Budgets budget for each individual account, and set up manual thresholds that compare historical daily average costs to actual daily spend to detect anomalies.
Answer
The solutions architect should configure AWS Cost Anomaly Detection monitors for individual accounts with an immediate alerting frequency, and create a cost budget in AWS Budgets filtered by data transfer usage to alert when the forecasted spend exceeds .
AWS Cost Anomaly Detection uses machine learning to dynamically establish spending baselines and detect spikes across accounts without manual threshold setup, alerting immediately via Amazon SNS. AWS Budgets allows setting up proactive alerts for specific usage types, such as data transfer, triggered when forecasted monthly spend exceeds the specified threshold, thus notifying the team before the threshold is actually breached.
Step-by-Step Solution
Key Concept
Combining AWS Cost Anomaly Detection for ML-driven anomaly detection and AWS Budgets for proactive forecasted spend tracking.
Estimated Time:2m 0s