A data science team has developed a custom propensity- to- churn model in Amazon SageMaker. The company wants to use this model to score its Unified Profiles in Data 360 and use those scores for a high- priority retention segment. The Data 360 Consultant needs to ensure the data is not duplicated or moved out of Data 360 during this process. Which feature should the consultant use to integrate this model?

Which data model subject area defines the revenue or quantity for an opportunity by product family?

Cumulus Financial wants its service reps to view all cases associated with a Unified Individual on a contact record. Which feature should a Data 360 Consultant consider for this use case?

What is the primary functionality of Data 360?

A predictive model has been built and deployed in Einstein Studio. What is the standard method for a Data 360 Consultant to apply these predictions to a business process within Salesforce?

A Data 360 Consultant is working with data that is clean and organized. However, the various schemas refer to a person by multiple names—such as user, contact, and subscriber—and need a standard mapping.

Which term describes the process of mapping these different schema points into a standard data model?

Northern Trail Outfitters uploads new customer data to an Amazon S3 bucket on a daily basis to be ingested in Data 360. Based on this, a calculated insight is created that shows the total spend per customer in the last 30 days. In which sequence should each process be run to ensure that freshly imported data is ready and available to use for any segment?

A Data 360 Consultant is preparing to implement Data 360. Which ethic should the consultant adhere to regarding customer data?

A Data 360 Consultant wants to create a new segment in Data 360. What are the available options for segmentation criteria?

A data architect has deployed an inbound change set containing a data kit into a new Salesforce Production org. Although the deployment status shows " Succeeded " , the architect notices that the specific data stream configurations and calculated insights included in the kit are not yet active or visible in the Data 360 functional tabs. What is the next required action the architect must perform to fully implement the configurations within the data kit?

A customer has multiple data sources and needs to match and reconcile data about individuals into a single unified profile. Which feature should the Data 360 Consultant recommend for the customer?

Data 360 receives a nightly file of all ecommerce transactions from the previous day. Several segments and activations depend upon calculated insights from the updated data in order to maintain accuracy in the customer ' s scheduled campaign messages. What should the Data 360 Consultant do to ensure the ecommerce data is ready for use for each of the scheduled activations?

Which statement about query federation in Data 360 is true?

An analyst needs to verify the data populated in a newly mapped data model object (DMO). They open the Query Editor within the Data 360 interface to perform a quick check of the records. What is the programming language the analyst must use to retrieve and view records from the DMO within this tool?

What is the minimum requirement needed when using the Visual Insights Builder to create a calculated insight?

A Data 360 Consultant wants to ensure that every segment managed by multiple brand teams adheres to the same set of exclusion criteria that are updated on a monthly basis. What is the most efficient option to allow for this capability?

Cumulus Financial created a segment called High Investment Balance Customers. This is a foundational segment that includes several segmentation criteria the marketing team should consistently use. What should the Data 360 Consultant recommend to ensure this consistency when the team creates future, more refined segments?

A Data 360 Consultant created a calculated insight that can be seen when ' Segmenting On ' Individuals on the segmentation canvas but not Unified Individual. What is the reason for this?

An organization wants to give users the ability to identify and select text attributes from a picklist of options. Which Data 360 feature should help with this use case?

What is a key requirement for a flow to be able to act on Data 360 data in near real time using a data action?

A Data 360 Consultant is attempting to configure Data 360 in an existing Developer Pro sandbox that was refreshed prior to the organization purchasing Data 360 licenses. Although the consultant has the Data 360 Admin permission set assigned in production, they cannot see the Data 360 Setup menu or the Data Spaces configuration options in the sandbox. Which action should the consultant take to resolve this issue?

A Data 360 Consultant is performing a source system inventory for Northern Trail Outfitters (NTO). During the review of the standard data model, the consultant identifies several business- specific fields in the source system that do not have a corresponding field in the standard data model objects (DMOs). Following best practices for mapping preparation, which action should the consultant take?

In Data 360, which mechanism ensures different business units can use the same Data 360 home org while keeping their data and metadata logically separated, to meet governance or compliance requirements?

A customer has a requirement to receive a notification whenever an activation fails for a particular segment. Which feature should the Data 360 Consultant use to solution for this use case?

A global beverage company (data provider) and a sports media network (data consumer) are collaborating in a Data 360 clean room to identify high- value partnership opportunities. The parties decide to use the segment overlap use case template to determine how many of the beverage company ' s Premium Loyalty Members are also active subscribers of the sports network, without exposing raw personally identifiable information (PII). When configuring the segment overlap template, which requirement must be met to allow the results to be filtered by specific demographics like " Region " or " Age Group " in the final output?

When preparing to build a predictive AI model in Einstein Studio using Data 360 data, which step is essential to ensure the model produces ethical and unbiased results?

A user wants to be able to create a multi- dimensional metric to identify unified individual lifetime value (LTV). Which sequence of data model object (DMO) joins is necessary within the calculated insight to enable this calculation?

A data architect is using Change Sets to move a new set of data configurations between two Salesforce Data 360 environments. The architect has created a data kit in the source org that includes several new data streams and identity resolution rules. Which component type should the architect select when adding these to the outbound change set to ensure the configuration is successfully transferred?

How should a Data 360 Consultant modify attribute names to match a naming convention in Cloud File Storage targets?

When reporting on calculated insights in Salesforce, what is a critical limitation a Data 360 Consultant must keep in mind regarding data freshness?

A global ecommerce brand tasks a Data 360 Consultant with resolving duplicate customer records originating from a web portal, a mobile app, and a physical point-of-sale system. The goal is to ensure that a customer is recognized as the same individual across all three sources to provide a consistent service experience. Which feature should the consultant configure to achieve this outcome?

A Data 360 Consultant is configuring an activation for a segment created from the Unified Individual object to be sent to a Loyalty Cloud activation target. They would like to include the Loyalty Program Tier for personalization, but this field is stored in a separate Loyalty Program Member data model object (DMO) that was not used in the initial segment filters. Which feature should the consultant use during the activation setup to include this external identifier in the exported payload?

Northern Trail Outfitters (NTO) has a machine learning (ML) model trained externally in Amazon SageMaker to predict customer churn, and wants to use that model ' s inference inside Data 360 without duplicating data. What should NTO do to achieve this?

Northern Trail Outfitters wants to enable Suggested Values for several attributes in the Data Model to assist marketers in the segment canvas. One of the attributes being considered is Secondary Product Code, which currently contains 5,000 distinct values.

What should a Data 360 Consultant consider before enabling value suggestions for this specific attribute?