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[General] Reliable Salesforce-Data-Cloud Test Simulator, Salesforce-Data-Cloud Reliable Te

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【General】 Reliable Salesforce-Data-Cloud Test Simulator, Salesforce-Data-Cloud Reliable Te

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q22-Q27):NEW QUESTION # 22
A company is seeking advice from a consultant on how to address the challenge of having multiple leads and contacts in Salesforce that share the same email address. The consultant wants to provide a detailed and comprehensive explanation on how Data Cloud can be leveraged to effectively solve this issue.
What should the consultant highlight to address this company's business challenge?
  • A. Identity Resolution
  • B. Identity Resolution
  • C. Calculated Insights
  • D. Data Bundles
Answer: A
Explanation:
Issue Overview: When multiple leads and contacts share the same email address in Salesforce, it can lead to data duplication, inaccurate customer views, and inefficient marketing and sales efforts.
Data Cloud Identity Resolution: Salesforce Data Cloud offers Identity Resolution as a powerful tool to address this issue. It helps in merging and unifying data from multiple sources to create a single, comprehensive customer profile.
Process:
Data Ingestion: Import lead and contact data into Salesforce Data Cloud.
Identity Resolution Rules: Configure Identity Resolution rules to match and merge records based on key identifiers like email addresses.
Unification: The tool consolidates records that share the same email address, eliminating duplicates and ensuring a single view of each customer.
Continuous Updates: As new data comes in, Identity Resolution continuously updates and maintains the unified profiles.
Benefits:
Accurate Customer View: Reduces duplicate records and provides a complete view of each customer's interactions and history.
Improved Efficiency: Streamlines marketing and sales efforts by targeting a unified customer profile.
References:
Salesforce Data Cloud Identity Resolution
Salesforce Help: Identity Resolution Overview

NEW QUESTION # 23
Which permission setting should an administrator check if the custom CRM object is not available in New Data Stream configuration?
  • A. Create object permission enabled in Data Cloud org
  • B. Ingest Object permission is enabled in the CRM org
  • C. View All object permission enabled in source CRM org
  • D. Modify All object permission enabled in Data Cloud org
Answer: C
Explanation:
This permission setting should be checked if the custom CRM object is not available in New Data Stream configuration. The user who connects the Salesforce CRM connector must have View All permission for the custom object in the source CRM org. References:
https://help.salesforce.com/s/ar ... _crm.htm&type=5

NEW QUESTION # 24
Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud. Based on this, a calculated insight is created that shows the total spend per customer in the last
30 days.
In which sequence should each process be run to ensure that freshly imported data is ready and available to use for any segment?
  • A. Refresh Data Stream > Identity Resolution > Calculated Insight
  • B. Identity Resolution > Refresh Data Stream > Calculated Insight
  • C. Refresh Data Stream > Calculated Insight > Identity Resolution
  • D. Calculated Insight > Refresh Data Stream > Identity Resolution
Answer: A
Explanation:
To ensure that freshly imported data is ready and available for use in any segment, the processes should be run in the following sequence: Refresh Data Stream > Identity Resolution > Calculated Insight . Here's why:
Understanding the Requirement
Northern Trail Outfitters uploads new customer data daily to an Amazon S3 bucket, which is ingested into Data Cloud.
A calculated insight is created to show the total spend per customer in the last 30 days.
The goal is to ensure that the data is properly refreshed, resolved, and processed before being used in segments.
Why This Sequence?
Step 1: Refresh Data Stream
Before any processing can occur, the data stream must be refreshed to ingest the latest data from the Amazon S3 bucket.
This ensures that the most up-to-date customer data is available in Data Cloud.
Step 2: Identity Resolution
After refreshing the data stream, identity resolution must be performed to merge related records into unified profiles.
This step ensures that customer data is consolidated and ready for analysis.
Step 3: Calculated Insight
Once identity resolution is complete, the calculated insight can be generated to calculate the total spend per customer in the last 30 days.
This ensures that the insight is based on the latest and most accurate data.
Other Options Are Incorrect :
B). Refresh Data Stream > Calculated Insight > Identity Resolution : Calculated insights cannot be generated before identity resolution because they rely on unified profiles.
C). Calculated Insight > Refresh Data Stream > Identity Resolution : Calculated insights require both fresh data and resolved identities, so this sequence is invalid.
D). Identity Resolution > Refresh Data Stream > Calculated Insight : Identity resolution cannot occur without first refreshing the data stream to bring in the latest data.
Conclusion
The correct sequence is Refresh Data Stream > Identity Resolution > Calculated Insight , ensuring that the data is properly refreshed, resolved, and processed before being used in segments.

NEW QUESTION # 25
A consultant is reviewing a recent activation using engagement-based related attributes but is not seeing any related attributes in their payload for the majority of their segment members.
Which two areas should the consultant review to help troubleshoot this issue?
Choose 2 answers
  • A. The correct path is selected for the related attributes.
  • B. The activated profiles have a Unified Contact Point.
  • C. The related engagement events occurred within the last 90 days.
  • D. The activations are referencing segments that segment on profile data rather than engagement data.
Answer: A,C
Explanation:
Engagement-based related attributes are attributes that describe the interactions of a person with an email message, such as opens, clicks, unsubscribes, etc. These attributes are stored in the Engagement data model object (DMO) and can be added to an activation to send more personalized communications. However, there are some considerations and limitations when using engagement-based related attributes, such as:
For engagement data, activation supports a 90-day lookback window. This means that only the attributes from the engagement events that occurred within the last 90 days are considered for activation. Any records outside of this window are not included in the activation payload. Therefore, the consultant should review the event time of the related engagement events and make sure they are within the lookback window.
The correct path to the related attributes must be selected for the activation. A path is a sequence of DMOs that are connected by relationships in the data model. For example, the path from Individual to Engagement is Individual -> Email -> Engagement. The path determines which related attributes are available for activation and how they are filtered. Therefore, the consultant should review the path selection and make sure it matches the desired related attributes and filters.
The other two options are not relevant for this issue. The activations can reference segments that segment on profile data rather than engagement data, as long as the activation target supports related attributes. The activated profiles do not need to have a Unified Contact Point, which is a unique identifier for a person across different data sources, to activate engagement-based related attributes. References: Add Related Attributes to an Activation, Related Attributes in Data Cloud activation have no values, Explore the Engagement Data Model Object

NEW QUESTION # 26
What is Data Cloud's primary value to customers?
  • A. A platform that provides a unified view of a customer and their related data
  • B. A platform that can update all connected systems with a golden record in real-time
  • C. A single source of truth for all anonymous data
  • D. A platform that can create personalized campaigns by listening, understanding, and acting on customer behavior
Answer: A
Explanation:
Data Cloud's primary value to customers is that it provides a platform that enables customers to create a unified view of a customer and their related data across different channels and systems, using the Customer
360 data model as the foundation. References: [Data Cloud Overview], [Customer 360 Data Model]

NEW QUESTION # 27
......
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