Microsoft Dynamics Development, Extensions, and Deployment (MB6-894) 2025 – 400 Free Practice Questions to Pass the Exam

Using validation rules during data import is a highly effective way to ensure data integrity when integrating Dynamics 365 with another system. Validation rules act as a safeguard that checks for errors or inconsistencies in the data before it is entered into the system. This means that incomplete, inaccurate, or incorrectly formatted data can be identified and corrected before it affects the integrity of the database.

Validation rules can be programmed to verify specific data types, enforce required fields, restrict the range of acceptable values, and ensure relationship constraints among data entries. By incorporating such rules, organizations can minimize the likelihood of corrupted or inaccurate data being imported, which in turn supports reliable reporting and decision-making within Dynamics 365.

While other choices may contribute to maintaining overall system operation, they do not directly address the critical aspect of validating data at the point of entry—hence, they are less effective in ensuring data integrity during integration. Regularly checking logs, relying on user feedback, and scheduling system maintenance can be part of a larger data management strategy, but it is the application of diligent validation rules that provides a proactive approach to data integrity in integrations.