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NEW QUESTION # 79
A Data Cloud consultant recently added a new data source and mapped some of the data to a new custom data model object (DMO) that they want to use for creating segments. However, they cannot view the newly created DMO when trying to create a new segment.
What is the cause of this issue?
Answer: C
Explanation:
Explanation
The cause of this issue is that the new custom data model object (DMO) is not of category Profile. A category is a property of a DMO that defines its purpose and functionality in Data Cloud. There are three categories of DMOs: Profile, Event, and Other. Profile DMOs are used to store attributes of individuals or entities, such as name, email, address, etc. Event DMOs are used to store actions or interactions of individuals or entities, such as purchases, clicks, visits, etc. Other DMOs are used to store any other type of data that does not fit into the Profile or Event categories, such as products, locations, categories, etc. Only Profile DMOs can be used for creating segments in Data Cloud, as segments are based on the attributes of individuals or entities. Therefore, if the new custom DMO is not of category Profile, it will not appear in the segmentation canvas. The other options are not correct because they are not the cause of this issue. Data ingestion is not a prerequisite for creating segments, as segments can be created based on the data model schema without actual data. The new DMO does not need to have a relationship to the individual DMO, as segments can be created based on any Profile DMO, regardless of its relationship to other DMOs. Segmentation is not only supported for the Individual and Unified Individual DMOs, as segments can be created based on any Profile DMO, including custom ones. References: Create a Custom Data Model Object from an Existing Data Model Object, Create a Segment in Data Cloud, Data Model Object Category
NEW QUESTION # 80
A customer is trying to activate data from Data Cloud to an Amazon S3 Cloud File Storage Bucket.
Which authentication type should the consultant recommend to connect to the S3 bucket from Data Cloud?
Answer: C
Explanation:
To use the Amazon S3 Storage Connector in Data Cloud, the consultant needs to provide the S3 bucket name, region, and access key and secret key for authentication. The access key and secret key are generated by AWS and can be managed in the IAM console. The other options are not supported by the S3 Storage Connector or by Data Cloud. References: Amazon S3 Storage Connector - Salesforce, How to Use the Amazon S3 Storage Connector in Data Cloud | Salesforce Developers Blog Learn more
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NEW QUESTION # 81
A customer is concerned that the consolidation rate displayed in the identity resolution is quite low compared to their initial estimations.
Which configuration change should a consultant consider in order to increase the consolidation rate?
Answer: A
Explanation:
The consolidation rate is the amount by which source profiles are combined to produce unified profiles, calculated as 1 - (number of unified individuals / number of source individuals). For example, if you ingest
100 source records and create 80 unified profiles, your consolidation rate is 20%. To increase the consolidation rate, you need to increase the number of matches between source profiles, which can be done by adding more match rules. Match rules define the criteria for matching source profiles based on their attributes.
By increasing the number of match rules, you can increase the chances of finding matches between source profiles and thus increase the consolidation rate. On the other hand, changing reconciliation rules, including additional attributes, or reducing the number of match rules can decrease the consolidation rate, as they can either reduce the number of matches or increase the number of unified profiles. References: Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Identity Resolution Ruleset Processing Results, Configure Identity Resolution Rulesets
NEW QUESTION # 82
An automotive dealership wants to implement Data Cloud.
What is a use case for Data Cloud's capabilities?
Answer: D
Explanation:
The most relevant use case for implementing Salesforce Data Cloud in an automotive dealership is ingesting customer interactions across different touchpoints, harmonizing the data, and building a data model for analytical reporting . Here's why:
1. Understanding the Use Case
Salesforce Data Cloud is designed to unify customer data from multiple sources, harmonize it into a single view, and enable actionable insights through analytics and segmentation. For an automotive dealership, this means:
Collecting data from various touchpoints such as website visits, service appointments, test drives, and marketing campaigns.
Harmonizing this data into a unified profile for each customer.
Building a data model that supports advanced analytical reporting to drive business decisions.
This use case aligns perfectly with Data Cloud's core capabilities, making it the most appropriate choice.
2. Why Not Other Options?
Option A: Implement a full archive solution with version management.
Salesforce Data Cloud is not primarily an archiving or version management tool. While it can store historical data, its focus is on unifying and analyzing customer data rather than providing a full-fledged archival solution with version control.
Tools like Salesforce Shield or external archival systems are better suited for this purpose.
Option B: Use browser cookies to track visitor activity on the website and display personalized recommendations.
While Salesforce Data Cloud can integrate with tools like Marketing Cloud Personalization (Interaction Studio) to deliver personalized experiences, it does not directly manage browser cookies or real-time web tracking.
This functionality is typically handled by specialized tools like Interaction Studio or third-party web analytics platforms.
Option C: Build a source of truth for consent management across all unified individuals.
While Data Cloud can help manage unified customer profiles, consent management is better handled by Salesforce's Consent Management Framework or other dedicated compliance tools.
Data Cloud focuses on data unification and analytics, not specifically on consent governance.
3. How Data Cloud Supports Option D
Here's how Salesforce Data Cloud enables the selected use case:
Step 1: Ingest Customer Interactions
Data Cloud connects to various data sources, including CRM systems, websites, mobile apps, and third-party platforms.
For an automotive dealership, this could include:
Website interactions (e.g., browsing vehicle models).
Service center visits and repair history.
Test drive bookings and purchase history.
Marketing campaign responses.
Step 2: Harmonize Data
Data Cloud uses identity resolution to unify customer data from different sources into a single profile for each individual.
For example, if a customer interacts with the dealership via email, phone, and in-person visits, Data Cloud consolidates these interactions into one unified profile.
Step 3: Build a Data Model
Data Cloud allows you to create a data model that organizes customer attributes and interactions in a structured way.
This model can be used to analyze customer behavior, segment audiences, and generate reports.
For instance, the dealership could identify customers who frequently visit the service center but haven't purchased a new vehicle recently, enabling targeted upsell campaigns.
Step 4: Enable Analytical Reporting
Once the data is harmonized and modeled, it can be used for advanced analytics and reporting.
Reports might include:
Customer lifetime value (CLV).
Campaign performance metrics.
Trends in customer preferences (e.g., interest in electric vehicles).
4. Salesforce Documentation Reference
According to Salesforce's official Data Cloud documentation:
Data Cloud is designed to unify customer data from multiple sources, enabling businesses to gain a 360-degree view of their customers.
It supports harmonization of data into a single profile and provides tools for segmentation and analytical reporting .
These capabilities make it ideal for industries like automotive dealerships, where understanding customer interactions across touchpoints is critical for driving sales and improving customer satisfaction.
NEW QUESTION # 83
Cumulus Financial wants its service agents to view a display of all cases associated with a Unified Individual on a contact record.
Which two features should a consultant consider for this use case?
Choose 2 answers
Answer: A,B
Explanation:
A Unified Individual is a profile that combines data from multiple sources using identity resolution rules in Data Cloud. A Unified Individual can have multiple contact points, such as email, phone, or address, that link to different systems and records. A consultant can use the following features to display all cases associated with a Unified Individual on a contact record:
* Profile API: This is a REST API that allows you to retrieve and update Unified Individual profiles and
* related attributes in Data Cloud. You can use the Profile API to query the cases that are related to a Unified Individual by using the contact point ID or the unified ID as a filter. You can also use the Profile API to update the Unified Individual profile with new or modified case information from other systems.
* Lightning Web Components: These are custom HTML elements that you can use to create reusable UI components for your Salesforce apps. You can use Lightning Web Components to create a custom component that displays the cases related to a Unified Individual on a contact record. You can use the Profile API to fetch the data from Data Cloud and display it in a table, list, or chart format. You can also use Lightning Web Components to enable actions, such as creating, editing, or deleting cases, from the contact record.
The other two options are not relevant for this use case. 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. A Data Action is used for activation and personalization, not for displaying data on a contact record. A Query APL is a query language that allows you to access and manipulate data in Data Cloud. A Query APL is used for data exploration and analysis, not for displaying data on a contact record. References: Profile API Developer Guide, Lightning Web Components Developer Guide, Create Unified Individual Profiles Unit
NEW QUESTION # 84
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