Salesforce Certified Data Cloud Consultant Practice Test - Questions Answers, Page 13
List of questions
Question 121
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Northern Trail Outfitters (NTO) is getting ready to start ingesting its CRM data into Data Cloud.
While setting up the connector, which type of refresh should NTO expect when the data stream is deployed for the first time?
Explanation:
Data Stream Deployment: When setting up a data stream in Salesforce Data Cloud, the initial deployment requires a comprehensive data load.
Types of Refreshes:
Incremental Refresh: Only updates with new or changed data since the last refresh.
Manual Refresh: Requires a user to manually initiate the data load.
Partial Refresh: Only a subset of the data is refreshed.
Full Refresh: Loads the entire dataset into the system.
First-Time Deployment: For the initial deployment of a data stream, a full refresh is necessary to ensure all data from the source system is ingested into Salesforce Data Cloud.
Salesforce Documentation: Data Stream Setup
Salesforce Data Cloud Guide
Question 122
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Northern Trail Outfitters (NTO) asks its Data Cloud consultant for a list of contacts who fit within a certain segment for a mailing campaign.
How should the consultant provide this list to NTO?
Explanation:
Segment Creation in Data Cloud: Salesforce Data Cloud allows the creation of segments based on specific criteria for targeted marketing campaigns.
Activation Targets: After creating a segment, it must be activated to make the data available for use. Various activation targets can be configured based on how the segment data will be used.
File Storage Activation Target: To provide a list of contacts fitting a segment, creating a file storage activation target allows the segment data to be exported as a file. This file can then be shared with NTO for their mailing campaign.
Process:
Define the segment criteria in Salesforce Data Cloud.
Create a new file storage activation target.
Activate the segment to this target, which generates a downloadable file containing the segment membership details.
Salesforce Data Cloud Documentation: Segmentation
Salesforce Data Cloud Activation
Question 123
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Northern Trail Outfitters (NTO) asks its Data Cloud consultant for a list of contacts who fit within a certain segment for a mailing campaign.
How should the consultant provide this list to NTO?
Explanation:
Segment Creation in Data Cloud: Salesforce Data Cloud allows the creation of segments based on specific criteria for targeted marketing campaigns.
Activation Targets: After creating a segment, it must be activated to make the data available for use. Various activation targets can be configured based on how the segment data will be used.
File Storage Activation Target: To provide a list of contacts fitting a segment, creating a file storage activation target allows the segment data to be exported as a file. This file can then be shared with NTO for their mailing campaign.
Process:
Define the segment criteria in Salesforce Data Cloud.
Create a new file storage activation target.
Activate the segment to this target, which generates a downloadable file containing the segment membership details.
Salesforce Data Cloud Documentation: Segmentation
Salesforce Data Cloud Activation
Question 124
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Northern Trail Outfitters (NTO) asks its Data Cloud consultant for a list of contacts who fit within a certain segment for a mailing campaign.
How should the consultant provide this list to NTO?
Explanation:
Segment Creation in Data Cloud: Salesforce Data Cloud allows the creation of segments based on specific criteria for targeted marketing campaigns.
Activation Targets: After creating a segment, it must be activated to make the data available for use. Various activation targets can be configured based on how the segment data will be used.
File Storage Activation Target: To provide a list of contacts fitting a segment, creating a file storage activation target allows the segment data to be exported as a file. This file can then be shared with NTO for their mailing campaign.
Process:
Define the segment criteria in Salesforce Data Cloud.
Create a new file storage activation target.
Activate the segment to this target, which generates a downloadable file containing the segment membership details.
Salesforce Data Cloud Documentation: Segmentation
Salesforce Data Cloud Activation
Question 125
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A Data Cloud consultant tries to save a new 1-to-l relationship between the Account DMO and Contact Point Address DMO but gets an error.
What should the consultant do to fix this error?
Explanation:
Relationship Cardinality: In Salesforce Data Cloud, defining the correct relationship cardinality between data model objects (DMOs) is crucial for accurate data representation and integration.
1-to-1 Relationship Error: The error occurs because the relationship between Account DMO and Contact Point Address DMO is set as 1-to-1, which implies that each account can only have one contact point address.
Solution:
Change Cardinality: Modify the relationship cardinality to many-to-one. This allows multiple contact point addresses to be associated with a single account, reflecting real-world scenarios more accurately.
Steps:
Go to the data model configuration in Data Cloud.
Locate the relationship between Account DMO and Contact Point Address DMO.
Change the relationship type from 1-to-1 to many-to-one.
Benefits:
Accurate Representation: Accommodates real-world data scenarios where an account may have multiple contact points.
Error Resolution: Resolves the error and ensures smooth data integration.
Salesforce Data Cloud Documentation: Relationships
Salesforce Help: Data Modeling in Data Cloud
Question 126
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A customer notices that their consolidation rate is low across their account unification. They have mapped Account to the Individual and Contact Point Email DMOs.
What should they do to increase their consolidation rate?
Explanation:
Consolidation Rate: The consolidation rate in Salesforce Data Cloud refers to the effectiveness of unifying records into a single profile. A low consolidation rate indicates that many records are not being successfully unified.
Matching Rules: Matching rules are critical in the identity resolution process. They define the criteria for identifying and merging duplicate records.
Solution:
Increase Matching Rules: Adding more matching rules improves the system's ability to identify duplicate records. This includes matching on additional fields or using more sophisticated matching algorithms.
Steps:
Access the Identity Resolution settings in Data Cloud.
Review the current matching rules.
Add new rules that consider more fields such as phone number, address, or other unique identifiers.
Benefits:
Improved Unification: Higher accuracy in matching and merging records, leading to a higher consolidation rate.
Comprehensive Profiles: Enhanced customer profiles with consolidated data from multiple sources.
Salesforce Data Cloud Identity Resolution
Salesforce Help: Matching Rules
Question 127
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Northern Trail Outfitters asks its consultant to extract the runner profiles and activity logs from its Track My Run mobile app and load them into Data Cloud. The marketing department also indicates that they need the last 90 days of historical data and want all new and updated data as it becomes available on a go-forward basis.
As best practice, which sequence of actions should the consultant use to implement this request?
Question 128
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A consultant needs to minimize the difference between a Data Cloud segment population and Marketing Cloud data extension count to determine the true size of segments for campaign planning.
What should the consultant recommend to filter the segments by to accomplish this?
Question 129
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A consultant at Northern Trail Outfitters is attempting to ingest a field from the Contact object in Salesforce CRM that contains both yyyy-mm-dd and yyyy-mm-dd hh:mm:ss values. The target field is set to Date datatype.
Which statement is true in this situation?
Question 130
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A consultant wants to make sure address details from customer orders are selected as best to save to the unified profile.
What should the consultant do to achieve this?
Question