MLS-C01 · Question #280
MLS-C01 Question #280: Real Exam Question with Answer & Explanation
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Question
A manufacturing company wants to create a machine learning (ML) model to predict when equipment is likely to fail. A data science team already constructed a deep learning model by using TensorFlow and a custom Python script in a local environment. The company wants to use Amazon SageMaker to train the model. Which TensorFlow estimator configuration will train the model MOST cost-effectively?
Options
- ATurn on SageMaker Training Compiler by adding compiler_config=TrainingCompilerConfig() as a
- BTurn on SageMaker Training Compiler by adding compiler_config=TrainingCompilerConfig() as a
- CAdjust the training script to use distributed data parallelism. Specify appropriate values for the
- DTurn on SageMaker Training Compiler by adding compiler_config=TrainingCompilerConfig() as a
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