A global retail company is running its SAP S/4HANA workload on AWS. The company’s business has grown in the past few years, and user activity has generated a significant amount or data in the SAP S/4HANA system. The company wants to expand into new geographies. Before the company finalizes the expansion plan, the company wants to perform analytics on the historical data from the past few years. The company also wants to generate sales forecasts for potential expansion locations. An SAP solutions architect must implement a solution to extract the data from SAP S/4HANA into Amazon S3. The solution also must perform the required analytics and forecasting tasks. Which solution will meet these requirements with the LEAST custom development effort?

Topic #: - All AWS Certified SAP on AWS - Specialty PAS-C01 Questions

A. Use AWS AppSync to extract the data from SAP S/4HANA and to store the data in Amazon S3. Use AWS Glue to perform analytics. Use Amazon Forecast for sales forecasts.
B. Use the SAP Landscape Transformation (LT) Replication Server SDK to extract the data, to integrate the data with SAP Data Services, and to store the data in Amazon S3. Use Amazon Athena to perform analytics. Use Amazon Forecast for sales forecasts.
C. Use Amazon AppFlow to extract the data from SAP S/4HANA and to store the data in Amazon S3. Use Amazon QuickSight to perform analytics. Use Amazon Forecast for sales forecasts.
D. Integrate AWS Glue and AWS Lambda with the SAP Operational Data Provisioning (ODP) Framework to extract the data from SAP S/4HANA and to store the data in Amazon S3. Use Amazon QuickSight to perform analytics. Use Amazon Forecast for sales forecasts.

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