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

Upon receiving a data alert from Einstein Discovery suggesting the presence of outliers in a dataset used to maximize daily sales quantity, appropriate actions include: B) Removing the outliers as suggested and then verifying if the removal has led to an improvement in model metrics and story insights. This ensures that the model's predictive accuracy is not adversely affected by extreme values. C) Engaging the client in a discussion about the occurrence of extreme values (both low and high) to determine if such cases are anomalies that should be excluded from analysis, ensuring that the model reflects typical sales scenarios.

To address the issue of stages appearing in alphabetical order rather than sales cycle order in a funnel chart, a consultant can:

• Use a dataflow to rename the stages with a preceding number (A): This method involves preprocessing the data to append a numerical prefix to each stage name, thus forcing a specific order in the visualization.
• Use a dataset XMD to rename stages (D): The Extended Metadata (XMD) of a dataset allows for the customization of how data is displayed, including defining custom labels for dimensions which can enforce a particular order in the visualization.

In Tableau CRM, a Compare Table allows you to segment data into different groupings for comparison. You can have up to four groupings in a Compare Table. This feature enables users to analyze and visualize data by comparing different segments side by side within the same table, facilitating a clearer understanding of how various groups perform against each other across multiple metrics. Reference: https://help.salesforce.com/s/articleView?id=sf.bi_dashboard_widgets_compare_table.htm &type=5

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