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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
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