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MLA-C01 · Question #142

MLA-C01 Question #142: Real Exam Question with Answer & Explanation

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Data Preparation for Machine Learning

Question

An ML engineer needs to train a supervised deep learning model. The available dataset is a large number of unlabeled images that only employees should access. The ML engineer needs to implement a solution that labels the dataset with the highest possible accuracy. Which combination of steps should the ML engineer take to meet these requirements? (Choose two.)

Options

  • AUse Amazon Rekognition to automatically label the dataset.
  • BTrain the deep learning model directly on the raw data. Let the model infer the labels by itself.
  • CUse Amazon SageMaker Ground Truth to create an annotation job that specifies the labeling task
  • DSet up workforce teams to access a private workforce to run and review the annotation job
  • EUse Amazon Mechanical Turk to complete the annotation job created by Amazon SageMaker

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Topics

#Data Labeling#AWS SageMaker Ground Truth#Private Workforce#Data Privacy
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