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[General] Salesforce-Data-Cloud Instant Download–The Best Latest Examprep for your Salesfo

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【General】 Salesforce-Data-Cloud Instant Download–The Best Latest Examprep for your Salesfo

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q117-Q122):NEW QUESTION # 117
Which data model subject area defines the revenue or quantity for an opportunity by product family?
  • A. Product
  • B. Engagement
  • C. Sales Order
  • D. Party
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 # 118
A customer wants to create segments ofusers based on their Customer Lifetime Value. The source data that will be brought into the Data Cloud does not include that KPI. What process should be followed to achieve this outcome?
  • A. Insight > Use in Segmentation
  • B. Map Data to Data Model > Create Calculated Insight > Use in Segmentation
  • C. Ingest Data > Create Calculated Insight > Use in Segmentation
  • D. Create Calculated Insight > Map Data to Data Model > Use in Segmentation
  • E. Ingest Data > Map Data to Data Model > Create Calculated
Answer: E
Explanation:
To create segments of users based on their Customer Lifetime Value, the customer needs to first ingest the source data into Data Cloud, then map the data to the Customer 360 data model, then create a calculated insight using the formula editor, and finally usethe calculated insight in segmentation. References: [Data Ingestion], [Data Mapping], [Calculated Insights], [Segmentation]

NEW QUESTION # 119
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?
  • A. Include Contact Point Email object Is Active field as a match rule.
  • B. Ensure Marketing Cloud is prioritized as the first data source in the Source Priority reconciliationrule.
  • C. Set the default reconciliation rule to Last Updated.
  • D. Use the source priority order in activations to make sure a contact point from the desired sourceis delivered to the activation target.
Answer: D
Explanation:
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

NEW QUESTION # 120
Which two dependencies prevent a data stream from being deleted?
Choose 2 answers
  • A. The underlying data lake object is mapped to a data model object.
  • B. The underlying data lake object is used in activation.
  • C. The underlying data lake object is used in segmentation.
  • D. The underlying data lake object is used in a data transform.
Answer: A,D
Explanation:
To delete a data stream in Data Cloud, the underlying data lake object (DLO) must not have any dependencies or references to other objects or processes. The following two dependencies prevent a data stream from being deleted1:
Data transform: This is a process that transforms the ingested data into a standardized format and structure for the data model. A data transform can use one or more DLOs as input or output. If a DLO is used in a data transform, it cannot be deleted until the data transform is removed or modified2.
Data model object: This is an object that represents a type of entity or relationship in the data model. A data model object can be mapped to one or more DLOs to define its attributes and values. If a DLO is mapped to a data model object, it cannot be deleted until the mapping is removed or changed3.
1: Delete a Data Stream article on Salesforce Help
2: [Data Transforms in Data Cloud] unit on Trailhead
3: [Data Model in Data Cloud] unit on Trailhead

NEW QUESTION # 121
Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
  • A. Profile attributes are not yet supported
  • B. Automation Studio and Profile API
  • C. Marketing Cloud Connect API
  • D. Email Studio Starter Data Bundle
Answer: B
Explanation:
This option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis. You can use Automation Studio to export profile attributes to a data extension and use the Profile API to send them to Data Cloud. References:
https://help.salesforce.com/s/ar ... ndation.htm&typ

NEW QUESTION # 122
......
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