AWS Certified AI Practitioner (AIF-C01) — Question 54

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?

Answer options

• 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.

Correct answer: D

Explanation

The correct answer is D because Amazon SageMaker Canvas is designed for users without extensive coding or ML experience, allowing them to build models and make predictions through a user-friendly interface. Options A and B require more technical knowledge and coding skills, while option C focuses on Personalize, which is not tailored for demand forecasting in this context.