You work as a machine learning specialist for a banking firm where you are part of the machine learning team in the fraud department. Your team’s latest assignment is to build and deploy a fraud prediction model based on the SageMaker Random Cut Forest built-in algorithm. You are working through your deployment steps manually using the SageMaker Studio before you automate the pipeline. You have created an MLOps project in SageMaker Studio and chosen the MLOps template for model building, training, and a deployment project template. You have cloned the model repo to your local SageMaker Studio environment, made your necessary pipeline changes, committed your code and MLOps has triggered a run of your pipeline. What are the steps that follow the MLOps triggering of your pipeline?

Answer options:

A.MLOps deploys your model to your production endpoint.
B.MLOps creates a new model version. You approve the new version, then MLOps deploys your new model version to your staging environment. From CodePipeline you choose your pipeline and approve the DeployStaging stage which causes the MLOps system to deploy the model to the production endpoint.
C.MLOps creates a new model version then MLOps deploys your new model version to your production endpoint.
D.MLOps creates a new model version. MLOps deploys your new model version to your staging environment. From CodePipeline you choose your pipeline and approve the DeployStaging stage which causes the MLOps system to deploy the model to the production endpoint.

Correct Answer: B
Option A is incorrect. You cannot deploy directly to production using the MLOps project flow. Deploying your SageMaker Studio project through the console requires you to approve the new version, deploy to a staging environment, and use CodePipeline to approve your DeployStaging stage.
Option B is correct. Deploying your SageMaker Studio project through the console requires you to approve the new version, deploy to a staging environment, and use CodePipeline to approve your DeployStaging stage.
Option C is incorrect. MLOps first deploys your new DeployStaging stage to your staging environment.
Option D is incorrect. You are required to approve your new version of your project before it deploys it to staging.
References:
Please see the Amazon SageMaker developer guide titled What is a SageMaker Project? (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-projects-whatis.html),
The Amazon SageMaker developer guide titled SageMaker MLOps Project Walkthrough (https://docs.aws.amazon.com/sagemaker/latest/dg/sagemaker-projects-walkthrough.html)