MLS-C01 Web TestEngine Demo

Q36 Single choice

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?

A
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.
B
Tokenize the data and transform the data into tabular data. Train an Amazon SageMaker k-means model to generate the product categories.
C
Train an Amazon SageMaker Neural Topic Model (NTM) model to generate the product categories.
D
Train an Amazon SageMaker Blazing Text model to generate the product categories.

MLS-C01 Web TestEngine demo