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Answer: Amazon SageMaker for model development and Amazon QuickSight for visualization.
Option B is the correct answer. Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. Amazon QuickSight is a scalable, serverless, embeddable, machine learning-powered business intelligence (BI) service built for the cloud. Using Amazon SageMaker for model development and training ensures minimal operational overhead due to its fully managed nature. Similarly, Amazon QuickSight allows for intuitive data visualization and integrates easily with SageMaker, making it the optimal solution for the e-commerce company's requirements.
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Which AWS solution offers the least operational overhead for an ecommerce company to integrate ML models with a reporting platform for data analysis and visualization in business intelligence dashboards?
A
AWS Glue for ML transforms and Amazon OpenSearch Service for data visualization.
B
Amazon SageMaker for model development and Amazon QuickSight for visualization.
C
ML Amazon Machine Image (AMI) from AWS Marketplace for model training and Amazon OpenSearch Service for visualization.
D
Amazon QuickSight for both model training with calculated fields and data visualization.