Hi Rupa,

One thing worth adding from running both dynamic views and column masking in production - the table above is a good way to think about the mechanics, but in practice the decision usually comes down to how many things are querying the same data, not which method is technically better.

If it's one table being queried directly by one tool, a row filter or column mask on the table itself is simple and does the job.

If the same data is being queried by more than one BI tool, or by different teams who need different views of it, dynamic views end up easier to manage. You can store them in Git, review changes like code, and update the security logic in one place without touching the actual table.

One mistake worth avoiding either way - always test these as a non-admin user. If you build a row filter or a secured view and test it while logged in as an admin, it'll look like it's working even when it isn't, because admin accounts usually bypass the restriction. Test it as the actual user group it's meant for before you ship it.