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NEW QUESTION # 64
Cumulus Financial wants to be able to track the daily transaction volume of each of its customers in real time and send out a notification as soon as it detects volume outside a customer's normal range.
What should a consultant do to accommodate this request?
Answer: C
Explanation:
A streaming insight is a type of insight that analyzes streaming data in real time and triggers actions based on predefined conditions. A data action is a type of action that executes a flow, a data action target, or a data action script when an insight is triggered. By using a streaming insight paired with a data action, a consultant can accommodate Cumulus Financial's request to track the daily transaction volume of each customer and send out a notification when the volume is outside the normal range. A calculated insight is a type of insight that performs calculations on data in a data space and stores the results in a data extension. A streaming data transform is a type of data transform that applies transformations to streaming data in real time and stores the results in a data extension. A flow is a type of automation that executes a series of actions when triggered by an event, a schedule, or another flow. None of these options can achieve the same functionality as a streaming insight paired with a data action. References: Use Insights in Data Cloud Unit, Streaming Insights and Data Actions Use Cases, Streaming Insights and Data Actions Limits and Behaviors
NEW QUESTION # 65
Which data model subject area defines the revenue or quantity for an opportunity by product family?
Answer: C
Explanation:
The Sales Order subject area defines the details of an order placed by a customer for one or more products or services. It includes information such as the order date, status, amount, quantity, currency, payment method, and delivery method. The Sales Order subject area also allows you to track the revenue or quantity for an opportunity by product family, which is a grouping of products that share common characteristics or features.
For example, you can use the Sales Order Line Item DMO to associate each product in an order with its product family, and then use the Sales Order Revenue DMO to calculate the total revenue or quantity for each product family in an opportunity. References: Sales Order Subject Area, Sales Order Revenue DMO Reference
NEW QUESTION # 66
Which data model subject area should be used for any Organization, Individual, or Member in the Customer
360 data model?
Answer: A
Explanation:
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.
Data Model Subject Areas
Party Subject Area
Customer 360 Data Model
NEW QUESTION # 67
What is a key functionality of Data Cloud?
Answer: C
Explanation:
A key functionality of Salesforce Data Cloud is its ability to build insights on unified profiles . Here's why this is the correct answer:
Understanding the Functionality of Data Cloud
Salesforce Data Cloud is designed to aggregate, unify, and analyze customer data from multiple sources.
Its primary purpose is to provide actionable insights that drive personalized customer experiences.
Why Build Insights on Unified Profiles?
Unified Profiles :
Data Cloud creates a unified profile by combining data from various sources (e.g., CRM, Marketing Cloud, external systems).
This single view of the customer enables organizations to understand behaviors, preferences, and interactions across touchpoints.
Building Insights :
Insights derived from unified profiles help organizations make data-driven decisions.
Examples include identifying high-value customers, predicting churn, and personalizing marketing campaigns.
Other Options Are Less Relevant :
A). To create a master data management (MDM) strategy : While Data Cloud supports data unification, it is not primarily an MDM tool.
B). To give a persistent ID for unified profiles : Persistent IDs are a feature of unified profiles but not the core functionality of Data Cloud.
D). To help users build a heat map using their data : Heat maps are a visualization tool, not a core functionality of Data Cloud.
Steps to Build Insights on Unified Profiles
Step 1: Ingest Data
Bring in customer data from multiple sources into Data Cloud.
Step 2: Create Unified Profiles
Use identity resolution to merge related records into a single unified profile.
Step 3: Analyze Data
Use tools like calculated insights, segments, and dashboards to derive actionable insights.
Step 4: Activate Insights
Use the insights to personalize customer experiences in downstream systems (e.g., Marketing Cloud, Sales Cloud).
Conclusion
The key functionality of Salesforce Data Cloud is to build insights on unified profiles , enabling organizations to deliver personalized and impactful customer experiences.
NEW QUESTION # 68
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
Answer: B,C,D
Explanation:
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
NEW QUESTION # 69
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