Northern Trail Qutfitters wants to be able to calculate each customer's lifetime value {LTV)
but also create breakdowns of the revenue sourced by website, mobile app, and retail channels.
What should a consultant use to address this use case in Data Cloud?

Correct Answer:C
Metrics on metrics is a feature that allows creating new metrics based on existing metrics and applying mathematical operations on them. This can be useful for calculating complex business metrics such as LTV, ROI, or conversion rates. In this case, the consultant can use metrics on metrics to calculate the LTV of each customer by summing up the revenue generated by them across different channels. The consultant can also create breakdowns of the revenue by channel by using the channel attribute as a dimension in the metric definition. References: Metrics on Metrics, Create Metrics on Metrics

Northern Trail Outfitters unifies individuals in its Data Cloud instance.
Which three features ca e consultant use to validate the data on a unified profile? Choose 3 answers

Correct Answer:ACD
To validate the data on a unified profile, the consultant can use the following features:
✑ Identity Resolution: This feature allows the consultant to view and edit the identity resolution rulesets that determine how individuals are unified from different data sources1.
✑ Data Explorer: This feature allows the consultant to browse and filter the unified profiles and view their attributes, segments, and activities2.
✑ Profile Explorer: This feature allows the consultant to drill down into a specific unified profile and view its details, such as source records, identity graph, calculated insights, and data actions3. References:
✑ 1: Identity Resolution in Data Cloud
✑ 2: Data Explorer in Data Cloud
✑ 3: Profile Explorer in Data Cloud

A customer needs to integrate in real time with Salesforce CRM. Which feature accomplishes this requirement?

Correct Answer:A
The correct answer is A. Streaming transforms. Streaming transforms are a feature of Data Cloud that allows real-time data integration with Salesforce CRM. Streaming transforms use the Data Cloud Streaming API to synchronize micro- batches of updates between the CRM data source and Data Cloud in near-real time1. Streaming transforms enable Data Cloud to have the most current and accurate CRM data for segmentation and activation2.
The other options are incorrect for the following reasons:
✑ B. Data model triggers. Data model triggers are a feature of Data Cloud that allows custom logic to be executed when data model objects are created, updated, or deleted3. Data model triggers do not integrate data with Salesforce CRM, but rather manipulate data within Data Cloud.
✑ C. Sales and Service bundle. Sales and Service bundle is a feature of Data Cloud that allows pre-built data streams, data model objects, segments, and activations for Sales Cloud and Service Cloud data sources4. Sales and Service bundle does not integrate data in real time with Salesforce CRM, but rather ingests data at scheduled intervals.
✑ D. Data actions and Lightning web components. Data actions and Lightning web components are features of Data Cloud that allow custom user interfaces and workflows to be built and embedded in Salesforce applications5. Data actions and Lightning web components do not integrate data with Salesforce CRM, but rather display and interact with data within Salesforce applications.
References:
✑ 1: Load Data into Data Cloud
✑ 2: [Data Streams in Data Cloud]
✑ 3: [Data Model Triggers in Data Cloud] unit on Trailhead
✑ 4: [Sales and Service Bundle in Data Cloud] unit on Trailhead
✑ 5: [Data Actions and Lightning Web Components in Data Cloud] unit on Trailhead
✑ : [Data Model in Data Cloud] unit on Trailhead
✑ : [Create a Data Model Object] article on Salesforce Help
✑ : [Data Sources in Data Cloud] unit on Trailhead
✑ : [Connect and Ingest Data in Data Cloud] article on Salesforce Help
✑ : [Data Spaces in Data Cloud] unit on Trailhead
✑ : [Create a Data Space] article on Salesforce Help
✑ : [Segments in Data Cloud] unit on Trailhead
✑ : [Create a Segment] article on Salesforce Help
✑ : [Activations in Data Cloud] unit on Trailhead
✑ : [Create an Activation] article on Salesforce Help

Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model?

Correct Answer:C
The data model subject area that should be used for any Organization, Individual, or Member in the Customer 360 data model is the Party subject area. The Party subject area defines the entities that are involved in any business transaction or relationship, such as customers, prospects, partners, suppliers, etc. The Party subject area contains the following data model objects (DMOs):
✑ Organization: A DMO that represents a legal entity or a business unit, such as a company, a department, a branch, etc.
✑ Individual: A DMO that represents a person, such as a customer, a contact, a user, etc.
✑ Member: A DMO that represents the relationship between an individual and an organization, such as an employee, a customer, a partner, etc.
The other options are not data model subject areas that should be used for any Organization, Individual, or Member in the Customer 360 data model. The Engagement subject area defines the actions that people take, such as clicks, views, purchases, etc. The Membership subject area defines the associations that people have with groups, such as loyalty programs, clubs, communities, etc. The Global Account subject area defines the hierarchical relationships between organizations, such as parent-child, subsidiary, etc. References:
✑ Data Model Subject Areas
✑ Party Subject Area
✑ Customer 360 Data Model

A consultant is setting up a data stream with transactional data, Which field type should the consultant choose to ensure that leading zeros in the purchase order number are preserved?

Correct Answer:A
The field type Text should be chosen to ensure that leading zeros in the purchase order number are preserved. This is because text fields store alphanumeric characters as strings, and do not remove any leading or trailing characters. On the other hand, number, decimal, and serial fields store numeric values as numbers, and automatically remove any leading zeros when displaying or exporting the data123. Therefore, text fields are more suitable for storing data that needs to retain its original format, such as purchase order numbers, zip codes, phone numbers, etc. References:
✑ Zeros at the start of a field appear to be omitted in Data Exports
✑ Keep First ‘0’ When Importing a CSV File
✑ Import and export address fields that begin with a zero or contain a plus symbol

Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on Fuzzy Name and Normalized Email.
What should NTO do to ensure the best email address is activated?

Correct Answer:B
NTO is using Fuzzy Name and Normalized Email as match rules to link together data from different sources into a unified individual profile. However, there might be cases where the same email address is available from more than one source, and NTO needs to decide which one to use for activation. For example, if Rachel has the same email address in Service Cloud and Marketing Cloud, but prefers to receive communications from NTO via Marketing Cloud, NTO needs to ensure that the email address from Marketing Cloud is activated. To do this, NTO can use the source priority order in activations, which allows them to rank the data sources in order of preference for activation. By placing Marketing Cloud higher than Service Cloud in the source priority order, NTO can make sure that the email address from Marketing Cloud is delivered to the activation target, such as an email campaign or a journey. This way, NTO can respect Rachel’s preference and deliver a better customer experience. References: Configure Activations, Use Source Priority Order in Activations