MLS-C01 · Question #258
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 framew
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Question
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?
Options
- AUse Amazon Elastic Inference on the SageMaker hosted endpoint.
- BRetrain the CNN with more layers and a larger dataset.
- CRetrain the CNN with more layers and a smaller dataset.
- DChoose a SageMaker instance type that has multiple GPUs.
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