You work as a machine learning specialist for a gaming software company. You have trained and tested a machine learning model to predict gaming users likelihood of buying in-app purchases based on their player characteristics, such as playing time, levels achieved, etc. You are now ready to deploy your trained model onto the Amazon SageMaker Hosting service.
What are the three steps for deploying a model using Amazon SageMaker Hosting Services? (Select THREE)

Answer options:

A.Create a model in Amazon SageMaker including the S3 path where the model artifacts are stored and the Docker registry path for the inference image.
B.Create a model in Amazon SageMaker including the S3 path where the model artifacts are stored and the Kubernetes registry path for the inference image.
C.Create an endpoint configuration for a REST endpoint.
D.Create an endpoint configuration for an HTTPS endpoint.
E.Create an HTTPS endpoint.
F.Create a REST endpoint.

Answers: A, D, E
Option A is correct. From the Amazon SageMaker developer guide titled Deploy a Model on Amazon SageMaker Hosting Services “By creating a model, you tell Amazon SageMaker where it can find the model components. This includes the S3 path where the model artifacts are stored and the Docker registry path for the image that contains the inference code.”
Option B is incorrect. The Amazon SageMaker Hosting Service expects to find the inference code in a Docker container, not in Kubernetes. (See the Amazon SageMaker developer guide titled Deploy a Model on Amazon SageMaker Hosting Services)
Option C is incorrect. The Amazon SageMaker Hosting Service uses an HTTPS endpoint (not a REST endpoint) to provide inferences from the model. (See the Amazon SageMaker developer guide titled Deploy a Model on Amazon SageMaker Hosting Services)
Option D is correct. The Amazon SageMaker Hosting Service uses an HTTPS endpoint to provide inferences from the model. This endpoint is configured to provide models to launch and instances on which to run them. (See the Amazon SageMaker developer guide titled Deploy a Model on Amazon SageMaker Hosting Services)
Option E is correct.The Amazon SageMaker Hosting Service uses an HTTPS endpoint to provide inferences from the model. Client applications send requests to the SageMaker runtime HTTPS endpoint to get inferences, in your case, to get inferences on the probability that a gamer will buy in-app purchases.
Option F is incorrect.The Amazon SageMaker Hosting Service uses an HTTPS endpoint (not a REST endpoint) to provide inferences from the model.
Reference:
Please see the Amazon SageMaker developer guide titled Deploy a Model on Amazon SageMaker Hosting Services to overview the deployment of a SageMaker model.