MLS-C01 · Question #277
MLS-C01 Question #277: Real Exam Question with Answer & Explanation
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Question
A manufacturing company has a production line with sensors that collect hundreds of quality metrics. The company has stored sensor data and manual inspection results in a data lake for several months. To automate quality control, the machine learning team must build an automated mechanism that determines whether the produced goods are good quality, replacement market quality, or scrap quality based on the manual inspection results. Which modeling approach will deliver the MOST accurate prediction of product quality?
Options
- AAmazon SageMaker DeepAR forecasting algorithm
- BAmazon SageMaker XGBoost algorithm
- CAmazon SageMaker Latent Dirichlet Allocation (LDA) algorithm
- DA convolutional neural network (CNN) and ResNet
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