CRM-Analytics-and-Einstein-Discovery-Consultant Exam Dumps - SalesforceCertifiedCRM Analytics and Einstein Discovery Consultant Exam (SU24)

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Question # 25

A customer has a dataset consisting of over 300 unique product names. They request a prediction model with the product names included.

Which action should the CRM Analytics consultant take?

Split the analysis into multiple models with each having fewer products.

Run the model using the default variables in the Product object.

Use SKU numbers rather than product names to increase clarity.

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Question # 26

A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can

access the marketing dashboards and only sales can access the sales dashboards.

Which solution should a consultant recommend?

Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".

Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as â€œeditorâ€ and one for sales dashboards and datasets with sales as "editor".

Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as â€œviewer". Add the datasets as references to both custom apps.

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Question # 27

A dashboard designer at Cloud Kicks creates a dashboard in CRM Analytics. The designer notices fields display on the dashboard with their APIlabels, such as "AccountId.Industry", and wants to change this behavior.

The designer also notices that the fields and their order appear to randomly change when a values table is created.

What should the CRM Analytics consultant explain to help the designer?

The default fields in a values table can be changed by reordering how fields appear in the JSON of the value table.

The default fields In a values table and the field labels can be modified in the dataset explorer.

The field labels can only be changed in the widget properties in the dashboard edit mode.

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Question # 28

Universal Containers (UC) creates a dataset, "Book11", containing a budget per region per month for the first 6 months of the year, as shown in the graphic below. Now, UC wants to create a lens showing

the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.

How should a CRM Analytics consultant help UC build this lens?

Use a "fill" statement in SAQL query with a "partition" parameter.

Use a â€œCompare Table" and add a column leveraging the â€œRunning Totalâ€ function.

Use a "Compare Table" and use the "Show Totals" option.

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Question # 29

Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?

Create multiple layouts and reorder all the widgets so that they fit nicely within the new default width

Create multiple layouts and allow CRM Analytics to automatically select and organize dashboard contents to be optimal for the device type.

Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets to ensure the content is appropriate for the device screen size.

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Question # 30

A system administrator and a CRM Analytics consultant are working together on deploying arecipe/dataflow and a dataset to another org. Prior to this deployment, a package was deployed with all the custom fields used in the dataflow and dataset.

While running the recipe/dataflow in the target environment, the consultant encounters multiple errors related to these custom fields.

How should this be resolved?

Check whether the system administrator has been provided access to these custom fields on the target org.

Check whether the Analytics Integration user has been provided access to these custom fields on the target org.

Check whether the consultant has been provided access to these custom fields on the target org.

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Question # 31

Cloud Kicks (CK) wants to use CRM Analytics to analyze trends of its sales pipeline in order to accelerate the company's sales process. To do so, CK needs to know the average time an opportunity

spends in each stage. The data can be found in the Opportunity History object, but the value is not pre-calculated in Salesforce, so a consultant recommends using a recipe to calculate it.

How should the consultant use a recipe to calculate the average time an opportunity spends in each stage?

An aggregate transformation with offset parameter to calculate the duration

Flatten transformation with offset expressions to calculate the duration

Custom transformation with a multiple row formula to calculate the duration

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Question # 32

A CRM Analytics consultant is updating an existing recipe.

They are looking to add a few additional fields onto the Account dataset. One of the fields to be added is a multi-select picklist field that needs to be shown as text on the dashboard.

What should the consultant do to accomplish this?

Use the array_join multivalue runcuen co convert this field to a text prior to registering the dataset.

Use the array multivalue function to convert this field to a text prior to registering the dataset.

Use the string multivalue function to convert this field to a text prior to registering the dataset.

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