Topic 1 Question 75
A company wants to develop an ML model by using tabular data from its customers. The data contains meaningful ordered features with sensitive information that should not be discarded. An ML engineer must ensure that the sensitive data is masked before another team starts to build the model. Which solution will meet these requirements?
Use Amazon Made to categorize the sensitive data.
Prepare the data by using AWS Glue DataBrew.
Run an AWS Batch job to change the sensitive data to random values.
Run an Amazon EMR job to change the sensitive data to random values.
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コメント(4)
- 正解だと思う選択肢: B👍 3GiorgioGss2024/11/28
- 正解だと思う選択肢: A
question error made -> macie
👍 3wizardmo2024/12/12 - 正解だと思う選択肢: B
AWS Glue DataBrew (Option B) is the most efficient and user-friendly solution for masking sensitive information while retaining the structure and order of tabular data, making it ideal for preparing data for ML model development. AWS Macie cannot mask data.
👍 3ZoroRoronoa2024/12/28
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