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Question 2

A retail company has a customer data hub in an Amazon S3 bucket. Employees from many countries use the data hub to support company-wide analytics. A governance team must ensure that the company's data analysts can access data only for customers who are within the same country as the analysts.

Which solution will meet these requirements with the LEAST operational effort?

Create a separate table for each country's customer data. Provide access to each analyst based on the country that the analyst serves.

Register the S3 bucket as a data lake location in AWS Lake Formation. Use the Lake Formation row-level security features to enforce the company's access policies.

Move the data to AWS Regions that are close to the countries where the customers are. Provide access to each analyst based on the country that the analyst serves.

Load the data into Amazon Redshift. Create a view for each country. Create separate IAM roles for each country to provide access to data from each country. Assign the appropriate roles to the analysts.

Correct Answer: B

The best solution for ensuring that data analysts can access data only for customers within the same country with the least operational effort is to register the S3 bucket as a data lake location in AWS Lake Formation. This service provides powerful data governance and fine-grained access control capabilities, including row-level security. By using Lake Formation’s row-level security features, you can easily define and enforce policies that restrict access to data based on specific conditions such as the country of the customer. This approach avoids the need for creating separate tables, views, or managing regional data migrations, thereby reducing operational overhead and complexity.

Discussion

k350SecopsOption: B

AWS Lake Formation: It's specifically designed for managing data lakes on AWS, providing capabilities for securing and controlling access to data. Row-Level Security: With Lake Formation, you can define fine-grained access control policies, including row-level security. This means you can enforce policies to restrict access to data based on specific conditions, such as the country associated with each customer. Least Operational Effort: Once the policies are defined within Lake Formation, they can be centrally managed and applied to the data in the S3 bucket without the need for creating separate tables or views for each country, as in options A, C, and D. This reduces operational overhead and complexity.

nanaw770Option: B

B is correct answer.

BartoszGolebiowski24

Creating DataLake takes at least few days to set up and the solution should be LEAST operational. I think B is not correct.

lunachi4Option: B

Select B. It means "with the LEAST operational effort".

mattia_besharpOption: B

AWS really likes Lakeformation, plus creating separate tables might require some refactoring, and the requirements is about the LEAST operational effor

rishadhbOption: A

Agreed with Bartosz. I think setup DataLake, then integrate it with LakeFormation take a lot of effort than just separate the table

GiorgioGssOption: B

Keyword "LEAST operational effort" - I will go with B

[Removed]Option: B

https://docs.aws.amazon.com/lake-formation/latest/dg/register-data-lake.html https://docs.aws.amazon.com/lake-formation/latest/dg/registration-role.html