Question

[Data Engineering] A company stores its documents in Amazon S3 with no predefined product categories. A data scientist needs to build a machine learning model to categorize the documents for all the company's products. Which solution will meet these requirements with the MOST operational efficiency?

Accepted Answer

Train an Amazon SageMaker Neural Topic Model (NTM) model to generate the product categories.

Answer

Build a custom clustering model. Create a Dockerfile and build a Docker image. Register the Docker image in Amazon Elastic Container Registry (Amazon ECR). Use the custom image in Amazon SageMaker to generate a trained model.

Answer

Tokenize the data and transform the data into tabulai data. Train an Amazon SageMaker k-means mode to generate the product categories.

Answer

Train an Amazon SageMaker Blazing Text model to generate the product categories.

[Data Engineering] A company stores its documents in Amazon S3 with no predefined product categories. A data scientist needs to build a machine…

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