Free Salesforce Tableau-CRM-and-Einstein-Discovery-Consultant Practice Exam with Questions & Answers | Set: 3

In Salesforce Tableau CRM Einstein Discovery:

• B is correct because in the Story Settings, the consultant can view and evaluate the strength of each predictor field, helping to determine which fields are most influential in the model.

To ensure a user can view dashboards within a designated app without the ability to create and save lenses, the correct action is to assign the Viewer role to the user. This role allows the user to access and interact with the dashboards and apps but restricts the ability to modify, create, or save anything within the app, aligning perfectly with the requirement specified.

The strength of the model depicted in the chart cannot be determined conclusively from the metrics shown (GINI coefficient of 0.535, maximum accuracy of 0.7597, and threshold of 0.5163). These metrics indicate aspects of the model's performance, but they do not provide a complete picture of its effectiveness in real-world scenarios. For instance, the GINI coefficient suggests some degree of discriminative power, yet it is not high enough alone to declare the model very effective. Similarly, the maximum accuracy shows potential, but without context regarding the complexity of the prediction task or comparisons to baseline models, a definitive conclusion about the model's strength cannot be drawn.

In the formulas used within a Compare Table in Tableau CRM, you can refer to other columns by using their names. This method provides clarity and maintains consistency in the formula, making it easier to understand and modify if necessary. Referring to columns by their names, as opposed to numbers or letters, helps prevent errors and improves the manageability of complex analytics formulas. Reference: https://help.salesforce.com/s/articleView?id=sf.bi_dashboard_widgets_compare_table_advanced.htm &type=5

For Einstein Discovery in Salesforce Tableau CRM, the maximum number of new stories that can be created per organization per day is capped at 20. This limit helps manage the load on the system, ensuring stability and performance across the platform.

For Discovery in Salesforce Tableau CRM, the limits on the number of columns (variables) are set at a minimum of 2 and a maximum of 50. These boundaries ensure that the Discovery models are both manageable and robust enough to generate meaningful insights without overwhelming the computational resources.