Which feature restricts data visibility at the row level based on user permissions within a dashboard?

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Multiple Choice

Which feature restricts data visibility at the row level based on user permissions within a dashboard?

Explanation:
The concept being tested is controlling who can see which rows of data within a dashboard, based on who is viewing it. Row-level security does this by applying a filter or predicate tied to the user’s identity or attributes, so each query returns only the rows the user is authorized to view. For example, a regional manager would see only sales records from their region, while someone in finance might be limited to specific accounts. This per-user filtering happens at query time, ensuring sensitive rows stay hidden from unauthorized users. Data lineage is about tracing where data originates and how it flows through the system, not about who can see which rows. Containerization focuses on isolating applications and their environments for security and reproducibility, not on restricting data visibility within a dashboard. Dimensional refers to organizing data into dimensions and measures for analysis, rather than enforcing access control.

The concept being tested is controlling who can see which rows of data within a dashboard, based on who is viewing it. Row-level security does this by applying a filter or predicate tied to the user’s identity or attributes, so each query returns only the rows the user is authorized to view. For example, a regional manager would see only sales records from their region, while someone in finance might be limited to specific accounts. This per-user filtering happens at query time, ensuring sensitive rows stay hidden from unauthorized users.

Data lineage is about tracing where data originates and how it flows through the system, not about who can see which rows. Containerization focuses on isolating applications and their environments for security and reproducibility, not on restricting data visibility within a dashboard. Dimensional refers to organizing data into dimensions and measures for analysis, rather than enforcing access control.

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