An analytics company has an Amazon SageMaker hosted endpoint for an image classification model. The model is a custom-built convolutional neural network (CNN) and uses the PyTorch deep learning framework. The company wants to increase throughput and decrease latency for customers that use the model.
Which solution will meet these requirements MOST cost-effectively?

A. Use Amazon Elastic Inference on the SageMaker hosted endpoint.

B. Retrain the CNN with more layers and a larger dataset.

C. Retrain the CNN with more layers and a smaller dataset.

D. Choose a SageMaker instance type that has multiple GPUs.








 

Suggested Answer: C

Community Answer: A




This question is in MLS-C01 AWS Certified Machine Learning – Specialty Exam
For getting AWS Certified Machine Learning – Specialty Certificate


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