MLS-C01 · Question #230
A company's machine learning (ML) specialist is designing a scalable data storage solution for Amazon SageMaker. The company has an existing TensorFlow-based model that uses a train.py script. The mod
Sign in or unlock MLS-C01 to reveal the answer and full explanation for question #230. The question stem and answer options stay visible for context.
Question
A company's machine learning (ML) specialist is designing a scalable data storage solution for Amazon SageMaker. The company has an existing TensorFlow-based model that uses a train.py script. The model relies on static training data that is currently stored in TFRecord format. What should the ML specialist do to provide the training data to SageMaker with the LEAST development overhead?
Options
- APut the TFRecord data into an Amazon S3 bucket. Use AWS Glue or AWS Lambda to reformat
- BRewrite the train.py script to add a section that converts TFRecord data to protobuf format. Point
- CUse SageMaker script mode, and use train.py unchanged. Point the SageMaker training
- DUse SageMaker script mode, and use train.py unchanged. Put the TFRecord data into an
Unlock MLS-C01 to see the answer
You've previewed enough free MLS-C01 questions. Unlock MLS-C01 for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.