You work as a machine learning specialist for a mobile phone carrier network. [1] [2] Your team of machine learning specialists needs to produce a model that clusters network users by payment plan and real-time geographic region. Your management team wants to use the model to consider marketing offerings targeted to a customer’s billing plan and geographic region in which they spend the most time. You have created a k-means model, and you need to test variations of the model on real-time customer data. Which option is considered the best practice for testing model variations as described by your use case?

Answer options:

A.Deploy the multiple variants of your model to the same SageMaker HTTPS endpoint, directing a percentage of traffic to each variant of the model, using an endpoint configuration that describes all variants of the model.
B.Deploy the multiple variants of your model to multiple SageMaker HTTPS endpoints, directing a percentage of traffic to each variant of the model, using an endpoint configuration for each variant of the model that describes the model.
C.Deploy the multiple variants of your model to the same SageMaker HTTPS endpoint, directing a percentage of traffic to each variant of the model, using an endpoint configuration for each variant of the model that describes the model.
D.Deploy the multiple variants of your model to multiple SageMaker HTTPS endpoints, directing a percentage of traffic to each variant of the model, using an endpoint configuration that describes all variants of the model.

Correct Answer: A
Option A is correct. The best practice for your use case is to deploy the multiple variants of your model to a single SageMaker HTTPS endpoint. Where you can direct traffic to each variant as you see fit. You accomplish this by creating an endpoint configuration that describes all variants of the model.
Option B is incorrect. The best practice is to deploy the multiple variants of your model to a single SageMaker HTTPS endpoint, not multiple endpoints. Also, the best practice is to one endpoint configuration that describes all variants of the model, not multiple endpoint configurations.
Option C is incorrect. The best practice is to one endpoint configuration that describes all model variants, not multiple endpoint configurations.
Option D is incorrect. The best practice is to deploy the multiple variants of your model to a single SageMaker HTTPS endpoint, not multiple endpoints.
References:
Please see the Amazon SageMaker developer guide titled Deploy a Model in Amazon SageMaker (https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works-deployment.html#how-it-works-hosting),
The Amazon SageMaker developer guide titled Step 5: Deploy the Model to Amazon EC2 (https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-model-deployment.html#ex1-deploy-model)