Exam AWS Certified Machine Learning - Specialty topic 1 question 38 discussion

You might be spent a lot of money for ask AWS A.CHANGE built-in image OR B.Create a support case. The effectial way BOTH RELATIVE TO SageMaker Estimator C.DOCKER OR BRING YOUR CODE BY D.SageMaker with TensorFlow Estimator THE BEAUTYFUL ANSWER ARE C AND D

I will go for C & D

Option A is not possible because the built-in image classification algorithm cannot be customized. Option B is not feasible because it is not possible to change the default image classification algorithm through a support case. Option E is also not a recommended approach because it involves manually installing software on an EC2 instance rather than using the managed services provided by SageMaker.

The effectial way BOTH RELATIVE TO SageMaker Estimator C.DOCKER OR BRING YOUR CODE BY D.SageMaker with TensorFlow Estimator

This question ask for 2 ways not a set of actions. So may be confused.

Anwers AD go to: https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers.html

CD and also A says it but in a more general term....

https://aws.amazon.com/blogs/machine-learning/transfer-learning-for-custom-labels-using-a-tensorflow-container-and-bring-your-own-algorithm-in-amazon-sagemaker/

C and D are correct

https://docs.aws.amazon.com/zh_tw/sagemaker/latest/dg/your-algorithms.html https://aws.amazon.com/tw/blogs/machine-learning/transfer-learning-for-custom-labels-using-a-tensorflow-container-and-bring-your-own-algorithm-in-amazon-sagemaker/ https://docs.aws.amazon.com/zh_tw/sagemaker/latest/dg/tf.html