MLS-C01 · Question #198
A data scientist has a dataset of machine part images stored in Amazon Elastic File System (Amazon EFS). The data scientist needs to use Amazon SageMaker to create and train an image classification…
The correct answer is D. Run a SageMaker training job with an EFS file system as the data source. Amazon SageMaker now supports Amazon Elastic File System (Amazon EFS) and Amazon FSx for Lustre file systems as data sources for training machine learning models on SageMaker. https://aws.amazon.com/blogs/machine-learning/speed-up-training-on-amazon-sagemaker-using…
Question
A data scientist has a dataset of machine part images stored in Amazon Elastic File System (Amazon EFS). The data scientist needs to use Amazon SageMaker to create and train an image classification machine learning model based on this dataset. Because of budget and time constraints, management wants the data scientist to create and train a model with the least number of steps and integration work required. How should the data scientist meet these requirements?
Options
- AMount the EFS file system to a SageMaker notebook and run a script that copies the data
- BLaunch a transient Amazon EMR cluster. Configure steps to mount the EFS file system
- CMount the EFS file system to an Amazon EC2 instance and use the AWS CLI to copy the
- DRun a SageMaker training job with an EFS file system as the data source.
How the community answered
(66 responses)- A14% (9)
- B3% (2)
- C6% (4)
- D77% (51)
Explanation
Amazon SageMaker now supports Amazon Elastic File System (Amazon EFS) and Amazon FSx for Lustre file systems as data sources for training machine learning models on SageMaker. https://aws.amazon.com/blogs/machine-learning/speed-up-training-on-amazon-sagemaker-using- amazon-efs-or-amazon-fsx-for-lustre-file-systems/
Topics
Community Discussion
No community discussion yet for this question.