Kizspy | Question: 39
(Choose 1 answer)
A team of machine learning (ML) experts are working for a company. The company wants to use the data in their data lake to train an ML model that they create. The company wants the most control that they can have over this model and the environment that it is trained in. Which AWS ML approach should the team take?
A. Launch an Amazon Elastic Compute Cloud (Amazon EC2) instance by using an AWS Deep Learning Amazon Machine Image (AMI) to host the application that will train the model.
B. Launch an Amazon Elastic Compute Cloud (Amazon EC2) instance and run Amazon SageMaker on it to train the model.
C. Create an AWS Lambda function with the training logic in the handler, and run the training based on an event.
D. Use a pretrained model from an AWS service, such as Amazon Rekognition.
