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AWS Certified Data Engineer - Associate · AWS
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Amazon Athena to query the data and setting up AWS Lake Formation with data filters, the company can ensure that user groups can access only the personally identifiable information (PII) that they require. The combination of Athena for querying and Lake Formation for access control provides a comprehensive solution for managing PII access requirements effectively and securely
The solution that will meet the requirements with the LEAST effort is: A. Use Amazon Athena to query the data. Set up AWS Lake Formation and create data filters to establish levels of access for the company’s IAM roles. Assign each user to the IAM role that matches the user’s PII access requirements. This option leverages AWS Lake Formation to create data filters and establish access levels for IAM roles, providing a straightforward approach to managing user access based on PII requirements.
The solution that will meet the requirements with the LEAST effort is: A. Use Amazon Athena to query the data. Set up AWS Lake Formation and create data filters to establish levels of access for the company’s IAM roles. Assign each user to the IAM role that matches the user’s PII access requirements. This option leverages AWS Lake Formation to create data filters and establish access levels for IAM roles, providing a straightforward approach to managing user access based on PII requirements.
Option A, using Amazon Athena with AWS Lake Formation, is the most suitable solution. Lake Formation is designed to provide fine-grained access control to data lakes stored in S3 and integrates well with Athena, thereby meeting the requirements with the least effort. https://aws.amazon.com/blogs/big-data/anonymize-and-manage-data-in-your-data-lake-with-amazon-athena-and-aws-lake-formation/