SAA-C03 · Question #555
A company wants to run its experimental workloads in the AWS Cloud. The company has a budget for cloud spending. The company's CFO is concerned about cloud spending accountabil- ity for each…
The correct answer is A. Use cost allocation tags on AWS resources to label owners. Create usage budgets in AWS. AWS recommends using cost allocation tags to associate costs with owners (e.g., department, project) and AWS Budgets to create cost or usage budgets with alerts at defined thresholds (e.g., 60%). Budgets can send notifications via email or Amazon SNS when "Actual or forecasted"…
Question
A company wants to run its experimental workloads in the AWS Cloud. The company has a budget for cloud spending. The company's CFO is concerned about cloud spending accountabil- ity for each department. The CFO wants to receive notification when the spending threshold reaches 60% of the budget. Which solution will meet these requirements?
Options
- AUse cost allocation tags on AWS resources to label owners. Create usage budgets in AWS
- BUse AWS Cost Explorer forecasts to determine resource owners. Use AWS Cost Anomaly
- CUse cost allocation tags on AWS resources to label owners. Use AWS Support API on AWS
- DUse AWS Cost Explorer forecasts to determine resource owners. Create usage budgets in AWS
How the community answered
(35 responses)- A94% (33)
- C3% (1)
- D3% (1)
Explanation
AWS recommends using cost allocation tags to associate costs with owners (e.g., department, project) and AWS Budgets to create cost or usage budgets with alerts at defined thresholds (e.g., 60%). Budgets can send notifications via email or Amazon SNS when "Actual or forecasted" spend exceeds the threshold. Cost Explorer forecasts help visualize trends but do not provide budget alerting or ownership attribution by themselves. Trusted Advisor does not generate budget threshold alerts. Therefore, tagging resources for accountability and setting a budget with a 60% alert provides governance and proactive notifications aligned with cost control best practices for experimentation.
Community Discussion
No community discussion yet for this question.