A company wants to use automatic machine learning (ML) to create and visualize forecasts of complex scenarios and trends. Which solution will meet these requirements with the LEAST management overhead

The correct answer is B. Use Amazon QuickSight to visualize the data. Use ML-powered forecasting in QuickSight to. 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 overhea

Submitted by ravi_2018· Mar 4, 2026Design Cost-Optimized Architectures

Question

A company wants to use automatic machine learning (ML) to create and visualize forecasts of complex scenarios and trends. Which solution will meet these requirements with the LEAST management overhead?

Options

AUse an AWS Glue ML job to transform the data and create forecasts. Use Amazon QuickSight to
BUse Amazon QuickSight to visualize the data. Use ML-powered forecasting in QuickSight to
CUse a prebuilt ML AMI from the AWS Marketplace to create forecasts. Use Amazon QuickSight to
DUse Amazon SageMaker AI inference pipelines to create and update forecasts. Use Amazon

How the community answered

(36 responses)

A
6% (2)
B
89% (32)
C
3% (1)
D
3% (1)

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

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