Table of Contents
Question
A company wants to add its existing AWS usage cost to its operation cost dashboard. A solutions architect needs to recommend a solution that will give the company access to its usage cost programmatically. The company must be able to access cost data for the current year and forecast costs for the next 12 months. Which solution will meet these requirements with the LEAST operational overhead?
A. Access usage cost-related data by using the AWS Cost Explorer API with pagination.
B. Access usage cost-related data by using downloadable AWS Cost Explorer report .csv files.
C. Configure AWS Budgets actions to send usage cost data to the company through FTP.
D. Create AWS Budgets reports for usage cost data. Send the data to the company through SMTP.
Answer
A. Access usage cost-related data by using the AWS Cost Explorer API with pagination.
Explanation
The correct answer is A. Access usage cost-related data by using the AWS Cost Explorer API with pagination.
AWS Cost Explorer API is a service that allows you to programmatically access your AWS cost and usage data. You can use the AWS Cost Explorer API to query for various cost and usage metrics, such as total cost, service cost, usage type, tag, and more. You can also filter, group, and sort your data by various dimensions and time periods. You can use pagination to retrieve large amounts of data in smaller batches.
The AWS Cost Explorer API can meet the requirements of the company with the least operational overhead because:
- It can provide access to cost data for the current year and forecast costs for the next 12 months. The AWS Cost Explorer API supports two types of queries: historical and forecast. Historical queries can retrieve cost and usage data for up to the last 13 months. Forecast queries can project cost and usage data for up to the next 12 months based on historical trends and patterns.
- It can provide access to cost data programmatically. The AWS Cost Explorer API can be accessed by using the AWS SDKs, AWS CLI, or HTTP requests. You can use the AWS Cost Explorer API to integrate your cost data with your own applications or tools, such as dashboards, reports, or alerts.
- It can provide access to cost data with minimal operational effort. The AWS Cost Explorer API handles all the data processing and aggregation for you. You do not need to download, store, or manipulate any .csv files or FTP transfers. You only need to specify the parameters and filters for your query and receive the results in a JSON format.
Option B is incorrect because accessing usage cost-related data by using downloadable AWS Cost Explorer report .csv files would require more operational effort than using the AWS Cost Explorer API. You would need to manually download the .csv files from the AWS Cost Explorer console or set up a scheduled delivery to an Amazon S3 bucket. You would also need to store, process, and analyze the .csv files by using your own tools or applications.
Option C is incorrect because configuring AWS Budgets actions to send usage cost data to the company through FTP would not provide access to forecast costs for the next 12 months. AWS Budgets actions are automated actions that you can configure to execute when your budget thresholds are breached. You can use AWS Budgets actions to send notifications or perform remediation actions, such as stopping or terminating instances. However, AWS Budgets actions only support sending historical cost and usage data through FTP, not forecast data.
Option D is incorrect because creating AWS Budgets reports for usage cost data and sending the data to the company through SMTP would not provide access to cost data programmatically. AWS Budgets reports are email reports that you can configure to receive on a daily, weekly, or monthly basis. You can use AWS Budgets reports to monitor your actual or forecasted costs against your budgeted amounts. However, AWS Budgets reports only support sending cost data through email, not through an API or SDK.
Therefore, the best solution to access usage cost-related data programmatically with the least operational overhead is to use the AWS Cost Explorer API with pagination.
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