Tableau-CRM-and-Einstein-Discovery-Consultant Exam Dumps - Salesforce Tableau CRM Einstein Discovery Consultant (SU24)

When deploying a dashboard such as SalesPerformance_1 from a sandbox to production in Salesforce Tableau CRM using a package, the correct metadata reference in the XML file is typically formatted with a suffix that identifies the type of component. For dashboards in Tableau CRM, the suffix "waveDashboard" is used, hence the correct reference would be "SalesPerformance_1 waveDashboard."

In Tableau CRM, the default number of rows displayed in a compare table is 1,000. This setting provides a balance between detailed data exploration and system performance, ensuring users can analyze significant amounts of data without overwhelming the interface or processing capabilities.

To create a results binding in Salesforce Einstein Analytics that enables a table from one dataset to be filtered based on the results of a chart from another dataset, follow these steps:

• A. Look up the API name of the filtering field: This is necessary to understand and reference the specific field in the dataset that you want to use for filtering.
• B. Look up the API name of the source field: You need to identify the field in the source dataset (the one used by the chart) that will provide the filtering criteria.
• C. Find source and target step names: Identifying the source (chart) and target (table) step names in the dashboard is crucial for configuring the binding correctly. These names are used in the binding syntax to define where the source data is coming from and where it should apply.

When Salesforce Analytics runs a dataflow that accesses Salesforce objects, it uses the Integration User. This is a system user configured to perform back-end operations that require interacting with Salesforce data, independent of any specific human user. This setup ensures that data operations such as dataflows are consistent and not tied to the permissions or roles of individual users, which could vary and affect the execution of such tasks. Reference: Salesforce Help - Dataflows and Integration User

The status of a CSV upload in Salesforce Analytics can be viewed in the Data Manager. This tool provides a centralized interface to manage data-related tasks, including uploads, dataflow operations, and dataset management. By accessing the Data Manager, users can track the progress and status of their CSV uploads, ensuring they have control and visibility over data integration processes. Reference: Salesforce Documentation - Data Manager

In Salesforce Tableau CRM (Einstein Analytics), the visibility of data in a dataset like the Seed Bank Orders is controlled by the app manager within the context of the app to which the dataset has been added. Therefore, a project team member with the Viewer role in the Mosaic Seed Bank project team can see only the rows in the dataset that are designated by the App Manager. This access is configured to ensure data security and relevancy based on user roles and permissions. Reference: Salesforce Help - Dataset Security

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