5 Questions
What are the functionalities of the SageMaker Training and Inference Toolkits?
The toolkits implement the functionality needed to adapt containers to run scripts, train algorithms, and deploy models on SageMaker.
What does the SageMaker Training and Inference Toolkits library define for users?
The library defines the locations for storing code and other resources, the entry point for the code to run when the container is started, and other information needed to manage deployments for training and inference.
What must the Dockerfile do to be compatible with SageMaker?
The Dockerfile must copy the code that needs to be run into the location expected by a container that is compatible with SageMaker.
What file folder structure does SageMaker create in the container's /opt/ml directory when it trains a model?
SageMaker creates the following file folder structure in the container's /opt/ml directory.
What is the functionality of the '/opt/ml' directory in the container?
The '/opt/ml' directory is used by SageMaker to store files and resources related to training and inference.
Test your knowledge of SageMaker Training and Inference Toolkits by taking this quiz. Explore the functionalities offered by these toolkits for running scripts, training algorithms, and deploying models on SageMaker.
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