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MLA-C01 · Question #125
MLA-C01 Question #125: Real Exam Question with Answer & Explanation
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Deployment and Orchestration of ML Workflows
Question
An ML engineer is developing a classification model. The ML engineer needs to use custom libraries in processing jobs, training jobs, and pipelines in Amazon SageMaker. Which solution will provide this functionality with the LEAST implementation effort?
Options
- AManually install the libraries in the SageMaker containers.
- BBuild a custom Docker container that includes the required libraries. Host the container in
- CCreate a SageMaker notebook instance to host the jobs. Create an AWS Lambda function to
- DRun code for the libraries externally on Amazon EC2 instances. Store the results in Amazon S3.
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Topics
#SageMaker Custom Containers#ML Workflows#Custom Libraries#Docker