Topic 1 Question 272
2 つ選択A machine learning (ML) specialist uploads 5 TB of data to an Amazon SageMaker Studio environment. The ML specialist performs initial data cleansing. Before the ML specialist begins to train a model, the ML specialist needs to create and view an analysis report that details potential bias in the uploaded data.
Which combination of actions will meet these requirements with the LEAST operational overhead?
Use SageMaker Clarify to automatically detect data bias
Turn on the bias detection option in SageMaker Ground Truth to automatically analyze data features.
Use SageMaker Model Monitor to generate a bias drift report.
Configure SageMaker Data Wrangler to generate a bias report.
Use SageMaker Experiments to perform a data check
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コメント(7)
- 👍 2Richaqua2023/07/08
AC is correct. A: AWS Clarify used to generate Bias report. C: AWS Data Wrangler to generate Bias report and is operationally efficient. https://catalog.us-east-1.prod.workshops.aws/workshops/1e224d5a-4273-444a-acec-28d44a5bfb28/en-US/data-preparation/amazon-sagemaker/data-wrangler
👍 1kukreti182023/07/07I think it's A+E
👍 1ADVIT2023/07/07
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