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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

Salesforce Data Cloud Accredited Professional Sample Questions:

1. What is a reason to create a formula when ingesting a data stream?

A) To transform is date time field into a dale field for use in data mapping
B) To concatenate files so they are ingested in the correct sequence
C) To remove duplicate rows of data from the data stream
D) To add a unique external identifier to an existing ruleset

2. Northern Trail Qutfitters wants to be able to calculate each customer's lifetime value {LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels.
What should a consultant use to address this use case in Data Cloud?

A) Streaming data transform
B) Nested segments
C) Flow Orchestration
D) Metrics on metrics

3. A consultant needs to create a data graph based on several DLOs,
Which step should the consultant take to make this work?

A) Batch transform the DLOs to multiple DMOs and activate these with the data graph.
B) Map the DLOs directly to a data graph.
C) Map the DLOS to DMOS and use these in the data graph.
D) Use a data action to update the data graph with the DLO data

4. The Salesforce CRM Connector is configured and the Case object data stream is set up. Subsequently, a new custom field named Business Priority is created on the Case object in Salesforce CRM. However, the new field is not available when trying to add it to the data stream.
Which statement addresses the cause of this issue?

A) The Salesforce Integration User Is missing Rad permissions on the newly created field.
B) Custom fields on the Case object are not supported for ingesting into Data Cloud.
C) The Salesforce Data Loader application should be used to perform a bulk upload from a desktop.
D) After 24 hours when the data stream refreshes it will automatically include any new fields that were added to the Salesforce CRM.

5. A Data Cloud consultant is working with data that is clean and organized. However, the various schemas refer to a person by multiple names - such as user; contact, and subscriber - and need a standard mapping.
Which term describes the process of mapping these different schema points into a standard data model?

A) Transform
B) Harmonize
C) Unify
D) Segment

Solutions: