MLS-C01 · Question #319
MLS-C01 Question #319: Real Exam Question with Answer & Explanation
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Question
An ecommerce company has used Amazon SageMaker to deploy a factorization machines (FM) model to suggest products for customers. The company's data science team has developed two new models by using the TensorFlow and PyTorch deep learning frameworks. The company needs to use A/B testing to evaluate the new models against the deployed model. The required A/B testing setup is as follows: - Send 70% of traffic to the FM model, 15% of traffic to the TensorFlow model, and 15% of traffic to the PyTorch model. - For customers who are from Europe, send all traffic to the TensorFlow model. Which architecture can the company use to implement the required A/B testing setup?
Options
- ACreate two new SageMaker endpoints for the TensorFlow and PyTorch models in addition to the
- BCreate two production variants for the TensorFlow and PyTorch models. Create an auto scaling
- CCreate two new SageMaker endpoints for the TensorFlow and PyTorch models in addition to the
- DCreate two production variants for the TensorFlow and PyTorch models. Specify the weight for
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