You are a machine learning specialist at a large financial services firm. You are building a machine learning model to manage risk for your firm using data from your traders daily trading activity. You are in the stage of your model development where you need to provide jupyter notebooks to your development team that they can use in SageMaker Studio. Your developers need to use the Scala kernel based on the Almond Scala Kernel as their development environment in their jupyter notebooks.
How can you provide the required development environment to your developers for their jupyter notebooks in the most efficient manner?

Answer options:

A.Allow the developers to select the Scala kernel based on the Almond Scala Kernel from the list of included SageMaker images available in SageMaker studio.
B.Create a custom SageMaker image based on an AMI that includes the Scala kernel based on the Almond Scala Kernel and attach the image to your SageMaker domain.
C.Create a custom SageMaker docker image using the Scala kernel based on the Almond Scala Kernel SageMaker custom image sample and attach the image to each user’s profile.
D.Create a custom SageMaker docker image using the Scala kernel based on the Almond Scala Kernel SageMaker custom image sample and attach the image to the SageMaker domain.

Answer: D
Option A is incorrect. The default list of available images in SageMaker studio does not include a scala image.
Option B is incorrect. SageMaker Studio images are built on Docker images, not AMIs.
Option C is incorrect. While you should create a custom SageMaker docker image using the Scala kernel based on the Almond Scala Kernel SageMaker custom image sample, attaching it to each user’s profile is less efficient than attaching it to the SageMaker Studio domain.
Option D is CORRECT. The most efficient option is to create a custom SageMaker docker image using the Scala kernel based on the Almond Scala Kernel SageMaker custom image sample and attach it to the SageMaker Studio domain.
Reference:
Please see the Amazon Sagemaker developer guide titled Bring your own SageMaker image.
Please refer to the GitHub repository titled SageMaker Studio Custom Image Samples.