AWS Certified AI Practitioner Practice Exam

A company aiming to create a predictive model for customer demand with no coding experience should utilize which solution?

1. Store the data in Amazon S3 (Using Amazon SageMaker built-in algorithms)

2. Import the data into Amazon SageMaker Data Wrangler (Using SageMaker built-in algorithms)

3. Import the data into Amazon SageMaker Data Wrangler (Using Amazon Personalize Trending-Now recipe)

4. Import the data into Amazon SageMaker Canvas (Selecting values in data from SageMaker Canvas)

The correct answer is: Import the data into Amazon SageMaker Canvas (Selecting values in data from SageMaker Canvas)

The ideal choice for a company with no coding experience seeking to create a predictive model for customer demand is to utilize Amazon SageMaker Canvas. This solution is specifically designed for business analysts and others who may not have a coding background, allowing them to build machine learning models through a visual interface. Users can easily import their datasets and leverage the predictive capabilities of SageMaker without needing to write code. SageMaker Canvas streamlines the process of model creation by allowing users to select data features visually and interact with them in a user-friendly environment. This makes it highly accessible for individuals focused on data analysis and decision-making rather than software development. While other options involve Amazon SageMaker’s built-in algorithms or other tools such as Data Wrangler, they may still require some level of coding or deeper technical knowledge to configure pipelines or algorithms effectively. Therefore, they might not be as suitable for users without coding experience. In contrast, Amazon SageMaker Canvas focuses on ease of use, making it the best fit for this scenario.