You have a semantic model named Model1. You need to ensure that users can verify that the data in Model1 meets corporate standards. What should you do?

Creating an image of the model is a visual representation and does not convey any information about its adherence to corporate data standards.

Promoting a semantic model indicates it's ready for broader use and well-maintained but does not carry the same authoritative "meets corporate standards" guarantee as certification.

Certifying a semantic model in Power BI is a process typically performed by designated experts or stewards to mark it as meeting an organization's high-quality standards. This designation reassures users that the data is accurate, trustworthy, and ready for broad use across the organization, making it ideal for corporate-standard verification.

Applying a sensitivity label to a semantic model is used to classify and protect sensitive data, not to verify its adherence to general corporate data quality or standards.