You are validating the test results for the data migration strategy. 
Please select two actions you should do for the validation.

Answer options:

A.You need to define the data connector
B.You need to establish parameters for data value correctness
C.You need to define the data loss prevention policy
D.You need to define the expected number of output rows
E.You need to define the data transfer speed

Correct Answers: B and
D. 
To successfully evaluate the data migration test results, a Solution Architect needs to define the data validation parameters. These parameters include data quality and data quantity. 
After you map the data for the transfer, it is necessary to verify the correctness of the data values. Suppose you have a simple one-to-one field mapping or a complicated mapping that involves data transformation. In that case, you need to establish procedures or implement tools that would verify that data migration produces the expected data output. The data quality is a parameter that reflects the data value correctness due to the data mapping. A Solution Architect needs to work with stakeholders to verify the data quality. 
The data migration might produce a different number of output rows. For example, 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. The data quantity is a parameter that reflects the expected number of rows migrated to the Dataverse. 
Data quality and data quantity are essential values for data migration control and validation of the data migration strategy. 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