AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 248

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?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Turn on SageMaker Training Compiler by adding compiler_config=TrainingCompilerConfig() as a parameter. Turn on managed spot training by setting the use_spot_instances parameter to True. Pass the script to the estimato... Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service. AWS Config tracks resource configuration changes and evaluates compliance. This option delivers the requirement at the lowest cost.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 248