MLS-C01 Question #281: Real Exam Question with Answer & Explanation

Question

An automotive company uses computer vision in its autonomous cars. The company trained its object detection models successfully by using transfer learning from a convolutional neural network (CNN). The company trained the models by using PyTorch through the Amazon SageMaker SDK. The vehicles have limited hardware and compute power. The company wants to optimize the model to reduce memory, battery, and hardware consumption without a significant sacrifice in accuracy. Which solution will improve the computational efficiency of the models?

Options

• AUse Amazon CloudWatch metrics to gain visibility into the SageMaker training weights, gradients,
• BUse Amazon SageMaker Ground Truth to build and run data labeling workflows. Collect a larger
• CUse Amazon SageMaker Debugger to gain visibility into the training weights, gradients, biases,
• DUse Amazon SageMaker Model Monitor to gain visibility into the ModelLatency metric and