When establishing user-level data visibility in Power BI, which method ensures strict UPN matching?

The method that ensures strict User Principal Name (UPN) matching in Power BI is to add a role with a DAX expression filter. This approach allows you to specify conditions for which data can be seen by different users based on their UPN. By using DAX expressions in creating roles, you can filter data precisely so that only users who match the specific UPN criteria can access corresponding data.

This technique is especially useful for implementing row-level security (RLS), allowing you to maintain tight control over who can view what data based on their unique usernames within your organization. Since UPNs typically correspond to how users are recognized in Azure Active Directory, this method offers a direct and secure way to match users to their respective data, ensuring proper data governance and compliance.

Other methods, such as creating what-if parameters or adding conditional columns, do not provide the same level of user-specific access control as they are more general and do not focus on the strict matching of UPNs. Dynamic row-level filters can be useful but can be less precise than defining a role with a specific DAX filter that aligns with the UPN. Thus, adding a role with a DAX expression filter is the clear choice for establishing strict UPN matching for user