Explanation:
Amazon Redshift RBAC provides centralised, scalable permission management through roles. Roles can be granted schema-, table-, and column-level privileges that reflect job roles and data sensitivity, then assigned to users. For 100+ users with diverse access needs, RBAC is the most manageable solution — changing a role's permissions automatically updates all members, unlike per-user grants.
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Question 16.
A company has an Amazon Redshift data warehouse that users access by using a variety of IAM roles. More than 100 users access the data warehouse every day. The company wants to control user access to the objects based on each user's job role, permissions, and how sensitive the data is. Which solution will meet these requirements?
A
Use the role-based access control (RBAC) feature of Amazon Redshift.
B
Use the row-level security (RLS) feature of Amazon Redshift.
C
Use the column-level security (CLS) feature of Amazon Redshift.
D
Use dynamic data masking policies in Amazon Redshift.
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