MLS-C01 · Question #305
MLS-C01 Question #305: Real Exam Question with Answer & Explanation
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Question
A company's machine learning (ML) specialist is building a computer vision model to classify 10 different traffic signs. The company has stored 100 images of each class in Amazon S3, and the company has another 10,000 unlabeled images. All the images come from dash cameras and are a size of 224 pixels ?224 pixels. After several training runs, the model is overfitting on the training data. Which actions should the ML specialist take to address this problem? (Choose two.)
Options
- AUse Amazon SageMaker Ground Truth to label the unlabeled images.
- BUse image preprocessing to transform the images into grayscale images.
- CUse data augmentation to rotate and translate the labeled images.
- DReplace the activation of the last layer with a sigmoid.
- EUse the Amazon SageMaker k-nearest neighbors (k-NN) algorithm to label the unlabeled images.
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