Pass the Salesforce Salesforce Consultant Tableau-CRM-and-Einstein-Discovery-Consultant Questions and answers with CertsForce

In the context of Einstein Analytics, when creating a template app from an existing app, the JSON file that manages the template metadata and all other template elements is: D. template-info.json. This file contains essential metadata about thetemplate, including definitions of the template's properties and behaviors, facilitating the reuse and customization of the app as a template. This file is crucial for managing and distributing template apps within Einstein Analytics. Reference: Salesforce Documentation on Analytics Templates

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 easierto 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

The steps in the data exploration process in Salesforce Tableau CRM are as follows:

View: Initially viewing the data to understand what is available and identify areas of interest.

Explore: Digging deeper into the data to discover patterns, anomalies, and insights.

Refine: Adjusting the exploration by filtering, sorting, or enhancing thedata visualization for clearer insights.

Save: Saving the state of your exploration to revisit or continue working on later.

Share: Sharing your findings with others in the organization, either through direct dashboard access, downloadable reports, or URLs.

For Universal Containers to automate the creation of datasets from theiron-premise data warehouse, the best solution would be to utilize middleware with the Analytics External Data API. This approach enables the integration of on-premise data systems with Salesforce through a secure and scalable middleware, which can automatethe data extraction and loading process into Tableau CRM, thus replacing the weekly manual process.

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.

When deploying a dashboard such asSalesPerformance_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."

The correct set of statements that generate a monthly amount on a cumulative basis annually is Option B. This option likely includes cumulative sum functions applied within a grouped statement, typically done with a grouping by 'Month'and an annual reset. Such SQL-like syntax is commonly used in Tableau CRM for time-based cumulative calculations.

The likely missed step in the deployment process of a Tableau CRM analytic app that includes a recipe and several datasets and dashboards, where the datasets aren't appearing post-deployment, is that the recipe needs to be run. Here's what should be done:

Navigate to the Tableau CRM Analytics Studio.

Locate the deployed recipe within the app.

Manually initiate the recipe to run, or verifyif it's scheduled to run automatically. If not, set up a schedule.

Ensure that once the recipe runs, it processes and creates the datasets as designed.

This step is crucial because recipes are responsible for transforming data and generating the datasetsneeded for the dashboards.