Which statement about Data Cloud's Web and Mobile Application Connector is true?
A. A standard schema containing event, profile, and transaction data is created at the time the connector is configured.
B. The Tenant Specific Endpoint is auto-generated in Data Cloud when setting the connector.
C. Any data streams associated with the connector will be automatically deleted upon deleting the app from Data Cloud Setup.
D. The connector schema can be updated to delete an existing field.
Where is value suggestion for attributes in segmentation enabled when creating the DMO?
A. Data Mapping
B. Data Transformation
C. Segment Setup
D. Data Stream Setup
Northern Trail Outfitters (NTO), an outdoor lifestyle clothing brand, recently started a new line of business. The new business specializes in gourmet camping food. For business reasons as well as security reasons, it's important to NTO to keep all Data Cloud data separated by brand. Which capability best supports NTO's desire to separate its data by brand?
A. Data sources for each brand
B. Data model objects for each brand
C. Data spaces for each brand
D. Data streams for each brand
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. Unified Individual > Unified Link Individual > Sales Order
B. Unified Individual > Individual > Sales Order
C. Sales Order > Individual > Unified Individual
D. Sales Order > Unified Individual
During a privacy law discussion with a customer, the customer indicates they need to honor requests for the right to be forgotten. The consultant determines that Consent API will solve this business need. Which two considerations should the consultant inform the customer about? (Choose 2 answers)
A. Data deletion requests are reprocessed at 30, 60, and 90 days.
B. Data deletion requests are processed within 1 hour.
C. Data deletion requests are submitted for Individual profiles.
D. Data deletion requests submitted to Data Cloud are passed to all connected Salesforce clouds.
Which data model subject area defines the revenue or quantity for an opportunity by product family?
A. Engagement
B. Sales Order
C. Product
D. Party
A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour. How should the consultant configure the solution to ensure the data action is triggered at the cadence required?
A. Set the activation schedule to hourly.
B. Configure the data to be ingested in hourly batches.
C. Set the journey entry schedule to run every hour.
D. Set the insights aggregation time window to 1 hour.
A new user of Data Cloud only needs to be able to review individual rows of ingested data and validate that it has been modeled successfully to its linked data model object. The user will also need to make changes if required. What is the minimum permission set needed to accommodate this use case?
A. Data Cloud for Marketing Specialist
B. Data Cloud Admin
C. Data Cloud for Marketing Data Aware Specialist
D. Data Cloud User
Northern Trail Outfitters wants to implement Data Cloud and has several use cases in mind. Which two use cases are considered a good fit for Data Cloud? Choose 2 answers
A. To ingest and unify data from various sources to reconcile customer identity
B. To create and orchestrate cross-channel marketing messages
C. To use harmonized data to more accurately understand the customer and business impact
D. To eliminate the need for separate business intelligence and IT data management tools
Explanation: Data Cloud is a data platform that can help customers connect, prepare, harmonize, unify, query, analyze, and act on their data across various Salesforce and external sources. Some of the use cases that are considered a good fit for Data Cloud are: To ingest and unify data from various sources to reconcile customer identity. Data Cloud can help customers bring all their data, whether streaming or batch, into Salesforce and map it to a common data model. Data Cloud can also help customers resolve identities across different channels and sources and create unified profiles of their customers. To use harmonized data to more accurately understand the customer and business impact. Data Cloud can help customers transform and cleanse their data before using it, and enrich it with calculated insights and related attributes. Data Cloud can also help customers create segments and audiences based on their data and activate them in any channel. Data Cloud can also help customers use AI to predict customer behavior and outcomes. The other two options are not use cases that are considered a good fit for Data Cloud. Data Cloud does not provide features to create and orchestrate cross-channel marketing messages, as this is typically handled by other Salesforce solutions such as Marketing Cloud. Data Cloud also does not eliminate the need for separate business intelligence and IT data management tools, as it is designed to work with them and complement their capabilities. References: Learn How Data Cloud Works About Salesforce Data Cloud Discover Use Cases for the Platform Understand Common Data Analysis Use Cases
A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data Cloud. Where does a request for data deletion or right to be forgotten get submitted?
A. In Data Cloud settings
B. On the individual data profile in Data Cloud
C. In Marketing Cloud settings
D. through Consent API
Explanation: Data Deletion Requests: For companies using Salesforce Marketing Cloud and Data Cloud, managing data privacy and deletion requests is essential. Marketing Cloud Connector: This connector facilitates data integration between Marketing Cloud and Data Cloud, but data deletion requests must follow specific procedures. Deletion Requests in Marketing Cloud: Data Management: Requests for data deletion or the right to be forgotten are submitted through Marketing Cloud settings, where the customer data is originally stored and managed. Propagation: Once the request is processed in Marketing Cloud, the changes are propagated to Data Cloud through the connector. References: Salesforce Marketing Cloud Documentation: Data Management Salesforce Data Cloud Connector Guide
A Data Cloud consultant recently discovered that their identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual. What should the consultant do to address this issue?
A. Modify the existing ruleset with stricter matching criteria, run the ruleset and review the updated results, then adjust as needed until the individuals are matching correctly.
B. Create and run a new rules fewer matching rules, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
C. Create and run a new ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
D. Modify the existing ruleset with stricter matching criteria, compare the two rulesets to review and verify the results, and then migrate to the new ruleset once approved.
Explanation: Identity resolution is the process of linking source profiles from different data sources into unified individual profiles based on match and reconciliation rules. If the identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual, it means that the match rules are too loose and need to be refined. The best way to address this issue is to create and run a new ruleset with stricter matching criteria, such as adding more attributes or increasing the match score threshold. Then, the consultant can compare the two rulesets to review and verify the results, and see if the new ruleset reduces the false positives and improves the accuracy of the identity resolution. Once the new ruleset is approved, the consultant can migrate to the new ruleset and delete the old one. The other options are incorrect because modifying the existing ruleset can affect the existing unified profiles and cause data loss or inconsistency. Creating and running a new ruleset with fewer matching rules can increase the false negatives and reduce the coverage of the identity resolution. References: Create Unified Individual Profiles, AI-based Identity Resolution: Linking Diverse Customer Data, Data Cloud Identiy Resolution.
Which functionality does Data Cloud offer to improve customer support interactions when a customer is working with an agent?
A. Predictive troubleshooting
B. Enhanced reporting tools
C. Real-time data integration
D. Automated customer service replies
Explanation: Customer Support in Salesforce Data Cloud: One of the key benefits of Salesforce Data Cloud is its ability to enhance customer support by providing comprehensive and real-time customer data. Real-Time Data Integration: This functionality allows customer support agents to access the most up-to-date customer information, improving their ability to respond to customer inquiries and issues effectively. Benefits for Customer Support: Immediate Access: Agents have real-time access to customer interactions and data, ensuring they can provide accurate and timely support. Contextual Information: The integrated data provides a holistic view of the customer's history and preferences, allowing for more personalized support interactions. Use Case: When a customer contacts support, the agent can see real-time updates on recent purchases, interactions, and any ongoing issues, enabling them to resolve queries quickly and efficiently. References: Salesforce Data Cloud for Customer Support Real-Time Data Integration in Salesforce
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