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

To write predictions back to the Predicted Amount field in the Opportunity object across all records, the best approach is to enable a Bulk Scoring Job under the Prediction Definition. This feature allows for the bulk processing of records to update the predictive field based on the latest model predictions. Here are the steps:

Navigate to the Prediction Definitions in Tableau CRM.

Select the prediction model applied to the Opportunity object.

Configure the settings to specify the Predicted Amount field as the target for the output.

Enable and configure theBulk Scoring Job to run at desired intervals (e.g., daily, weekly), depending on the business requirement.

This process ensures that all Opportunity records are scored consistently with the most current predictions, keeping the Predicted Amount field updated.

To meet the security requirements of allowing only a subset of users to access the dataset and ensuring they only see data relevant to their region, the consultant can:

Use a security predicate in the dataset so users can see only rows belonging to their respective regions (B): This involves configuring row-level security usingsecurity predicates based on the UserRegion field, which filters data dynamically based on the user's region.

Save the dataset under a new application and give "viewer" access to a public group containing the list of users allowed to see the dataset (D):This method segregates access at the application level, allowing only designated users to view the dataset within that application.

To replace null results in the YoY Growth calculation with a 100% value when there is no account in the 'Last Year' column, the correct function to use is:

C: coalesce(). This function is used to return the first non-null value in a list of arguments. In the formula for calculating YoY Growth, it can be used to check for a null value in the 'Last Year' data and replace it with a default value (like 100), effectively handling cases where no comparison data exists.

When extending the SalesOperations app to distribute it as an Einstein Analytics template app, the correct endpoint to post the folderSource ID (as shown in the JSON snippet provided) is "/services/data/vXX.X/wave/templates". This endpoint is used for managing template apps in Einstein Analytics, allowing the consultant to package and distribute standardized analytical content across different Salesforce instances or to different user groups within the organization.

To resolve theissue where selections in the List widget do not affect the Pie chart due to the use of different datasets in an Einstein Analytics dashboard, an Einstein Consultant can:

A: Use 'Connect Data Sources' and create a connection to connect the two datasets. This approach establishes a relationship between the datasets, enabling interactions between widgets using these datasets to affect each other.

B: Use selection binding in the filters section of the step "Step_pie_2." Selection binding will allow the Pie chart to dynamically adjust based on selections made in the List widget, by applying the selected filters directly to the Pie chart's dataset.

To add a new field, SalesTax, to a Product Sales dataset and calculate its value using the formula (SubTotal + CountyTax), the correct node to use in a recipe is the Update node. This node allows you to modify existing records by addingnew fields or updating values in existing fields based on defined calculations.