Topic 1 Question 249
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?
Amazon SageMaker DeepAR forecasting algorithm
Amazon SageMaker XGBoost algorithm
Amazon SageMaker Latent Dirichlet Allocation (LDA) algorithm
A convolutional neural network (CNN) and ResNet
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コメント(6)
- 正解だと思う選択肢: B
A. NO - it is not a foreacasting problem B. YES - it is a supervised classification problem C. NO - LDA is for topic modeling, sentiment analysis D. NO - ResNet (a type of CNN) is for image recognition
👍 3loict2023/09/12 It's B
👍 1kukreti182023/06/23- 正解だと思う選択肢: B
Definitely B.
👍 1ADVIT2023/07/07
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