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

Two advantages of using layout templates for dashboard development in Salesforce Tableau CRM are:

• A: Layout templates are equipped with design best practices, such as optimally positioned KPIs and filters. This feature saves time and ensures that dashboards adhere to visual and functional standards that enhance user experience and data readability.
• C: Layout templates offer a consistent end-user experience. Consistency across dashboards improves user adoption and reduces learning curves as users navigate various analytics tools within the organization.

Within Salesforce, permissions for permission sets are specifically designed to grant access to various features and functionalities. "Access Sales Cloud Analytics Templates and Apps" is a valid permission which enables users to access predefined templates and apps that are specific to Sales Cloud within Tableau CRM. This permission is crucial for users who need to utilize advanced analytical capabilities provided by Sales Cloud analytics solutions, including the use of specialized dashboards and data models designed to enhance sales performance and insights. Reference: https://help.salesforce.com/s/articleView?id=sf.bi_app_sales.htm &type=5

When writing a SAQL query to predict sales per product family using the timeseries SAQL statement, the consultant must:

• Investigate which prediction model is best for the data available (B): Choosing the right prediction model is critical to ensuring the accuracy and relevance of the forecast. Different models may perform better based on the characteristics of the data.
• Validate that there is enough data in the dataset to make a good prediction (C): Ensuring a sufficient amount of quality data is available is essential for making reliable predictions. This includes having enough historical data points and representative data.

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.