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MLA-C01 · Question #47

MLA-C01 Question #47: Real Exam Question with Answer & Explanation

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ML Solution Monitoring, Maintenance, and Security

Question

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 data without transforming the source data and without storing anonymized data in the database. Which solution will meet these requirements with the LEAST implementation effort?

Options

  • AConfigure dynamic data masking policies to control how sensitive data is shared with the data
  • BCreate a materialized view with masking logic on top of the database. Grant the necessary read
  • CUnload the Amazon Redshift data to Amazon S3. Use Amazon Athena to create schema-on-read
  • DUnload the Amazon Redshift data to Amazon S3. Create an AWS Glue job to anonymize the

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Topics

#Amazon Redshift#Dynamic Data Masking#Data Security#Access Control
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