Correct Answers: A and
C.
When Solution Architects create a data migration strategy, they need to define the data validation parameters. These parameters include data quality and data quantity.
Data quality is the accuracy of the data values because of data mapping. Data quantity is the expected number of rows migrated to the Dataverse. Data quality and data quantity are essential values for data migration control. Because of data transformation or changed schema, or some other factors, the number of input rows can differ from the number of rows in a new database. A Solution Architect needs to work with stakeholders to verify the data quality. Both these parameters are vital for testing strategy as well. Your test team needs to know the acceptance criteria for the data migration.
All other options are incorrect.
For more information about data migration strategy, please visit the below URL:
https://docs.microsoft.com/en-us/learn/modules/project-test-process/3-migrate-data