You work as a machine learning specialist for a major oil refinery company. Your company needs to do complex analysis on its crude and oil chemical compound structures. You have selected an algorithm for your machine learning model that is not one of the SageMaker built-in algorithms. You have created your model using CreateModel, and you have created your HTTPS endpoint. Your docker container running your model is now ready to receive inference requests for real-time inferences. When SageMaker returns the inference result from a client`s request, which of the following are true? (Select THREE)

Answer options:

A.To receive inference requests your inference container must have a web server running on port 8080.
B.Your inference container must accept GET requests to the /invocations endpoint.
C.Your inference container must accept PUT requests to the /inferences endpoint.
D.Amazon SageMaker strips all POST headers except those supported by InvokeEndpoint. Amazon SageMaker might add additional headers. Your inference container must be able to ignore these additional headers safely.
E.Your inference container must accept POST requests to the /inferences endpoint.
F.Your inference container must accept POST requests to the /invocations endpoint.

Answers: A, D, F
Option A is correct. From the Amazon SageMaker developer guide titled Use You Own Inference Code with Hosting Services, “To receive inference requests, the container must have a web server listening on port 8080”.
Option B is incorrect. The inference container must accept POST requests to the /invocations endpoint. (See the Amazon SageMaker developer guide titled Use You Own Inference Code with Hosting Services)
Option C is incorrect. The inference container must accept POST requests to the /invocations endpoint. (See the Amazon SageMaker developer guide titled Use You Own Inference Code with Hosting Services)Maker developer guide titled Deploy a Model on Amazon SageMaker Hosting Services)
Option D is correct. From the Amazon SageMaker developer guide titled Use You Own Inference Code with Hosting Services, “Amazon SageMaker strips all POST headers except those supported by InvokeEndpoint. Amazon SageMaker might add additional headers. Inference containers must be able to ignore these additional headers safely.”
Option E is incorrect.The inference container must accept POST requests to the /invocations endpoint. (See the Amazon SageMaker developer guide titled Use You Own Inference Code with Hosting Services)
Option F is correct.The inference container must accept POST requests to the /invocations endpoint. (See the Amazon SageMaker developer guide titled Use You Own Inference Code with Hosting Services)
Reference:
Please see the Amazon SageMaker developer guide titled Deploy a Model.