Which solution will meet these requirements?

A digital devices company wants to predict customer demand for memory hardware. The company does not have coding experience or knowledge of ML algorithms and needs to develop a data-driven predictive model. The company needs to perform analysis on internal data and external data.

Which solution will meet these requirements?
A . Store the data in Amazon S3. Create ML models and demand forecast predictions by using Amazon SageMaker built-in algorithms that use the data from Amazon S3.
B . Import the data into Amazon SageMaker Data Wrangler. Create ML models and demand forecast predictions by using SageMaker built-in algorithms.
C . Import the data into Amazon SageMaker Data Wrangler. Build ML models and demand forecast predictions by using an Amazon Personalize Trending-Now recipe.
D . Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from SageMaker Canvas.

View Answer

Answer: D

Explanation:

Amazon SageMaker Canvas is a no-code machine learning service that allows users without coding or ML expertise to build predictive models. It enables the company to import data, perform analysis, and build ML models through an easy-to-use graphical interface. This makes it ideal for businesses with limited technical expertise but a need for data-driven predictions.