Which solution will meet these requirements with the LEAST management overhead?
A.
Use an AWS Glue ML job to transform the data and create forecasts. Use Amazon QuickSight to visualize the data.
B.
Use Amazon QuickSight to visualize the data. Use ML-powered forecasting in QuickSight to create forecasts.
C.
Use a prebuilt ML AMI from the AWS Marketplace to create forecasts. Use Amazon QuickSight to visualize the data.
D.
Use Amazon SageMaker AI inference pipelines to create and update forecasts. Use Amazon QuickSight to visualize the combined data.
The Answer Is:
B
This question includes an explanation.
Explanation:
Amazon QuickSight includes built-in ML-powered forecasting capabilities, allowing you to create, visualize, and interact with time series forecasts directly within the BI dashboard, with no ML experience or infrastructure management required. This is the lowest management overhead solution.
AWS Documentation Extract:
"Amazon QuickSight provides built-in ML-powered forecasting, allowing business users to forecast future trends with a few clicks and no machine learning expertise required."
(Source: Amazon QuickSight documentation)
A, C, D: Require additional setup, management, or ML knowledge.
[Reference: AWS Certified Solutions Architect – Official Study Guide, QuickSight and ML Forecasting., ]
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