Salesforce Certified Data Architecture Practice Test

A poorly designed data model in Salesforce can lead to data redundancy and integrity issues, which significantly impact the overall functionality and reliability of a system. When the data model is not structured effectively, it can result in duplicate data entries where the same information is stored in multiple places. This redundancy complicates data management, increases storage costs, and makes it difficult to ensure that users are accessing the most accurate and up-to-date information.

Additionally, integrity issues arise when there are inconsistencies in the data due to the lack of proper relationships and constraints within the model. For instance, if there’re no defined rules regarding how data should relate to one another, users might end up creating incorrect associations between records, leading to faulty insights, reports, and decision-making.

The consequences of these issues can ripple throughout the organization, diminishing trust in the data, complicating analytics, and ultimately hindering business processes. Understanding how to create a stable and well-structured data model is crucial in mitigating these risks and ensuring reliable data throughout Salesforce.