Salesforce Updated Tableau-CRM-and-Einstein-Discovery-Consultant Exam Questions and Answers by maisy

Insights categorized as 'Unrelated' in Einstein Discovery are significant because they highlight factors or variables that, while not directly related to the primary variables of interest, may still influence the outcome through broader or global effects. These insights help in understanding the comprehensive landscape of the data, acknowledging that some influencing factors might be external or less obvious yet impactful. This broader view aids in a more holistic analysis and prevents oversight of potential influences outside the immediate dataset. Reference: https://help.salesforce.com/s/articleView?id=sf.bi_edd_insights_unrelated.htm &type=5

To meet the requirement where each sales rep can view attainment data for reps in their division but only see their own commission data, applying a security predicate on the existing single dataset is the most efficient and secure method. This approach allows granular control over data visibility based on user-specific criteria, directly aligning with the security and privacy needs specified.

In Einstein Analytics, the "sfdcDigest" node is used in a dataflow to extract data from a registered dataset. This node is specifically designed to query and ingest data from Salesforce objects and datasets into the dataflow for further transformations and analyses.