Question 47 of 68
Single answerCertylQ A company is using an Amazon Redshift database as its single data source.Some of the data is sensitive. A data scientist needs to use some of the sensitive data from the database.An ML engineer must give the data scientist access to the dlata without transforming the source data and without storing anonymized data in the Which solution will meet these requirements with the LEAST implementation effort?
✓AConfigure dynamic data masking policies to control how sensitive data is shared with the data scientist at query time. to the data scientist.
CUnload the Amazon Redshift data to Amazon S3. Use Amazon Athena to create schema-on-read with masking logic. Share the view with the data scientist.
DUnload the Amazon Redshift data to Amazon S3. Create an AWS Glue job to anonymize the data. Share the dataset with the data scientist.
✓
Correct Answer: A
Configure dynamic data masking policies to control how sensitive data is shared with the data scientist at query time. to the data scientist.
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Explanation
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