A retail company's data analytics team recently created multiple product sales analysis dashboards for the average selling price per product using Amazon QuickSight. The dashboards were created from .csv files uploaded to Amazon S3. The team is now planning to share the dashboards with the respective external product owners by creating individual users in Amazon QuickSight. For compliance and governance reasons, restricting access is a key requirement. The product owners should view only their respective product analysis in the dashboard reports. Which approach should the data analytics team take to allow product owners to view only their products in the dashboard?
A) Separate the data by product and use S3 bucket policies for authorization.
B) Separate the data by product and use IAM policies for authorization.
C) Create a manifest file with row-level security.
D) Create dataset rules with row-level security.

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The Answer of A retail company's data analytics team recently created multiple product sales analysis dashboards for the average selling price per product using Amazon QuickSight. The dashboards were created from .csv files uploaded to Amazon S3. The team is now planning to share the dashboards with the respective external product owners by creating individual users in Amazon QuickSight. For compliance and governance reasons, restricting access is a key requirement. The product owners should view only their respective product analysis in the dashboard reports. Which approach should the data analytics team take to allow product owners to view only their products in the dashboard?
A) Separate the data by product and use S3 bucket policies for authorization.
B) Separate the data by product and use IAM policies for authorization.
C) Create a manifest file with row-level security.
D) Create dataset rules with row-level security.

A Retail Company's Data Analytics Team Recently Created Multiple Product