An ecommerce company wants to use machine learning (ML) algorithms to build and train models. The company will use the models to visualize complex scenarios and to detect trends in customer data. The architecture team wants to integrate its ML models with a reporting platform to analyze the augmented data and use the data directly in its business intelligence dashboards.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use AWS Glue to create an ML transform to build and train models. Use Amazon OpenSearch Service to visualize the data.

B. Use Amazon SageMaker to build and train models. Use Amazon QuickSight to visualize the data.

C. Use a pre-built ML Amazon Machine Image (AMI) from the AWS Marketplace to build and train models. Use Amazon OpenSearch Service to visualize the data.

D. Use Amazon QuickSight to build and train models by using calculated fields. Use Amazon QuickSight to visualize the data.








 

Suggested Answer: B

Community Answer: B




This question is in SAA-C03 exam 
For getting AWS Certified Solutions Architect Associate Certificate


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