Exam AWS Certified Data Analytics - Specialty topic 1 question 123 discussion

Should be C, standard exmaple given in AWS website https://docs.aws.amazon.com/quicksight/latest/user/restrict-access-to-a-data-set-using-row-level-security.html

C: I passed the test

https://docs.aws.amazon.com/quicksight/latest/user/restrict-access-to-a-data-set-using-row-level-security.html

Should be C

Correct answer is C as QuickSight Enterprise edition provides row-level security (RLS) which can be configured for the sales table to restrict access. To do this, you create a query or file that has one column named UserName, GroupName, or both. Or you can create a query or file that has one column named UserARN, GroupARN, or both. You can think of this as adding a rule for that user or group. Then you can add one column to the query or file for each field that you want to grant or restrict access to. For each user or group name that you add, you add the values for each field. You can use NULL (no value) to mean all values. https://docs.aws.amazon.com/quicksight/latest/user/restrict-access-to-a-data-set-using-row-level-security.html

Selected Answer: C

My Answer is C

Answer : C

Answer is C In the Enterprise edition of Amazon QuickSight, you can restrict access to a dataset by configuring row-level security (RLS) on it. You can do this before or after you have shared the dataset. When you share a dataset with RLS with dataset owners, they can still see all the data. When you share it with readers, however, they can only see the data restricted by the permission dataset rules. By adding row-level security, you can further control their access. https://docs.aws.amazon.com/quicksight/latest/user/restrict-access-to-a-data-set-using-row-level-security.html

Answer: C