ACRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than 4%. The client is now concerned that the model may not be good enough to deploy. Which action should the consultant take?
A. A Identify additional data that may have a stronger relationship with the outcome variable.
B. Edit the model accuracy settings and rerun it to evaluate the correlation.
C. Use the appropriate algorithm and update the model.
Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one. What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?
A. Cancel running installations from Setup
B. Stop the recipe from running in Data Manager.
C. Update the app with the new field after installation.
A data architect wants to use a recipe transformation to implement row level security based on role hierarchy in Salesforce. Which transformation should the architect use to level the dataset hierarchy?
A. Aggregate
B. Flatten
C. Join
Universal Containers uses CRM Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users in the samedepartment have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security. How should a CRM Analytics consultant address this need?
A. Create one app for each department, put common datasets in the shared app, and use roles to share apps.
B. Create one app for each department, put common datasets in the shared app, and use profiles to share apps.
C. Create one app for each department, put common datasets in the shared app, and use permission sets to share apps.
Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The modelsare for every region UC has a business: EMEA, AMER, and APAC. How should a consultant help UC deploy the three Einstein models to Salesforce?
A. Filter the account data per region and deploy the same model to all segments.
B. Segment the account data per region and deploy the appropriate model for each segment.
C. Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.
Universal Containers has a dashboard for sales managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. A CRM Analytics consultant creates a custom query to display three values: ClosedDate_month, ClosedDate_ quarter, and ClosedDate_year. What should the consultant do next?
A. Use result binding/interaction to update the grouping in the chart.
B. Use selection binding/interaction to update the grouping In the chart.
C. Use selection binding/interaction to update the measure In the chart.
An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow. What is the most efficient way to accomplish this?
A. Create a trigger on Case objectand use REST APIs to append the predictions intothe business process.
B. Use the Einstein Discovery flow action to make a prediction with the flow.
C. Write an Apex class with Einstein Discovery Predictions and append them to process.
Universal Containers (UC) has a "Sales Manager” dashboard. UC has a compare table that has multiple groupings and columns added showing the Total and Subtotals of the numeric values. A consultant is asked to add additional groups to enhance details about UC's customers. Which feature should the consultant use to make the navigation of the compare tables easier for the end user?
A. Create the table using SAQL query to accommodate this and make It user friendly.
B. Select the Enable Expand or Collapse option from the table properties.
C. Scroll to the very end to see the details.
A CRM Analytics consultant is asked to make sure the new sales performance dashboard is accessible in the mobile app. They have created multiple mobile layouts for the same dashboard. How is CRM Analytics expected to perform?
A. If more than one layout is eligible, the one with the most global filters is used.
B. If more than one layout Is eligible, the one with the most widgets is used.
C. If more than one layout is eligible, the one with the most device properties set is used.
Universal Containers (UC) is rolling out CRM Analytics to its field sales that include dashboards withorder data from an external source. UC has a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy. In addition, the order data has a reference to a Salesforce opportunity. An individual sales rep should be able to view all orders that they own or as part of the account team or opportunity team. The sales manager should be able to view all orders for the entire sales team. Similarly, the VP of sales should be able to view orders for everyone who rolls up in that hierarchy. The dataset has a field called Ownerld which represents the order owner. Given this information, how should a CRM Analytics consultant implement the above requirements?
A. As part of the recipe, use a formula on the Roleid fildto create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' ==‘’$UserRoleId’’ || Owned\ == ‘$User,id\\,
B. As part of the recipe, use the flatten operation on the role hierarchy, create a multi-value attribute called 'ParentRoleIDs' on the dataset, and apply the following security predicate: 'ParentRoleIDs' == "$User.UserRoleld" || 'TeamMember.Id’ '$User, Id" || 'Ownerld’ == "$User.Id".
C. As part of the recipe, use a multi row formula on the Roleld field to create an attribute called 'ParentRoleIDs' on the dataset, and apply the following security predicate:“$User.UserRoleld” || ‘Ownerld’ == “$User.Id".