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

To address the performance issue with data sync (replication) caused by unnecessary data being synced, the consultant should:

• D: Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data. This approach minimizes the data volume being synchronized by focusing only on relevant fields and records, thereby improving the performance of the data sync processes.

The best connection mode for Universal Containers, given their need to sync updated and new records from the Order object weekly, including updates to formula fields, is Periodic Full Sync. This mode will:

• Periodically sync all records from the source object (in this case, weekly).
• Ensure that all fields, including formula fields that may calculate values based on other periodically updated fields, are current in the destination system.

This mode is especially suitable when data completeness and accuracy are crucial, and where changes in the dataset need to reflect consistently, including computed or derived fields.

In the context of Tableau CRM (formerly Einstein Analytics), a lens/exploration is composed of two main parts: Visualization and Grouping. Visualization refers to how the data is presented visually, such as charts or tables. Grouping involves how data fields are categorized or segmented for analysis, allowing users to drill down into specifics or see summaries based on certain criteria.

The correct timeseries statement to fix the SAQL query for predicting sales in each sales region is:

• C: q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Year', 'Date_Quarter', "Y-Q"), partition='Region', seasonality=4). This statement correctly specifies the required parameters for a timeseries analysis, including the date columns, the partition by 'Region', and the seasonality factor, which is crucial for accurate forecasting in time series analysis.

To enable Analytics for Communities in Tableau CRM, you need specific prerequisites:

• License Requirements: A Customer Community Plus or Partner Community license is necessary, enabling more extensive CRM functionalities for community members.
• Permission Set License: Community members must be assigned the Analytics for Communities permission set license. This setup ensures that community users have the appropriate access to use and benefit from Analytics features within their community environments.

A merge key in a dataset recipe is used to join related data from different sources within Tableau CRM. By specifying merge keys, users define the common fields between datasets that serve as the basis for combining records. This process is critical for creating comprehensive datasets that pull in relevant data from disparate sources, ensuring data accuracy and consistency across the joined datasets. The use of merge keys facilitates the alignment of data based on shared attributes, crucial for accurate analysis and reporting. Reference: https://help.salesforce.com/s/articleView?id=sf.bi_prep_recipes_join_data.htm &type=5