MLS-C01 · Question #360
MLS-C01 Question #360: Real Exam Question with Answer & Explanation
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Question
An agriculture company wants to improve crop yield forecasting for the upcoming season by using crop yields from the last three seasons. The company wants to compare the performance of its new scikit-learn model to the benchmark. A data scientist needs to package the code into a container that computes both the new model forecast and the benchmark. The data scientist wants AWS to be responsible for the operational maintenance of the container. Which solution will meet these requirements?
Options
- APackage the code as the training script for an Amazon SageMaker scikit-learn container.
- BPackage the code into a custom-built container. Push the container to Amazon Elastic Container
- CPackage the code into a custom-built container. Push the container to AWS Fargate.
- DPackage the code by extending an Amazon SageMaker scikit-learn container.
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