MLS-C01 · Question #44
MLS-C01 Question #44: Real Exam Question with Answer & Explanation
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Question
A Machine Learning Specialist is developing a custom video recommendation model for an application. The dataset used to train this model is very large with millions of data points and is hosted in an Amazon S3 bucket. The Specialist wants to avoid loading all of this data onto an Amazon SageMaker notebook instance because it would take hours to move and will exceed the attached 5 GB Amazon EBS volume on the notebook instance. Which approach allows the Specialist to use all the data to train the model?
Options
- ALoad a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the
- BLaunch an Amazon EC2 instance with an AWS Deep Learning AMI and attach the S3 bucket to
- CUse AWS Glue to train a model using a small subset of the data to confirm that the data will be
- DLoad a smaller subset of the data into the SageMaker notebook and train locally. Confirm that the
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