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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

Salesforce Data Cloud Accredited Professional Sample Questions:

1. How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?

A) Leverages reconciliation rules
B) Creates additional contact points
C) Leverages match rules
D) Creates additional rulesets

2. Cumulus Financial is experiencing delays in publishing multiple segments simultaneously. The company wants to avoid reducing the frequency at which segments are published, while retaining the same segments in place today.
Which action should a consultant take to alleviate this issue?

A) Adjust the publish schedule start time of each segment to prevent overlapping processes.
B) Increase the Data Cloud segmentation concurrency limit.
C) Enable rapid segment publishing to all to segment to reduce generation time.
D) Reduce the number of segments being published.

3. Cumulus Financial wants to segregate Salesforce CRM Account data based on Country for its Data Cloud users.
What should the consultant do to accomplish this?

A) Use the data spaces feature and applying filtering on the Account data lake object based on Country.
B) Use streaming transforms to filter out Account data based on Country and map to separate data model objects accordingly.
C) Use formula fields based on the account Country field to filter incoming records.
D) Use Salesforce sharing rules on the Account object to filter and segregate records based on Country.

4. A customer notices that their consolidation rate has recently increased. They contact the consultant to ask why.
What are two likely explanations for the increase?
Choose 2 answers

A) Identity resolution rules have been added to the ruleset to increase the number of matchedprofiles.
B) New data sources have been added to Data Cloud that largely overlap with the existing profiles.
C) Duplicates have been removed from source system data streams.
D) Identity resolution rules have been removed to reduce the number of matched profiles.

5. A bank collects customer data for its loan applicants and high net worth customers. A customer can be both a load applicant and a high net worth customer, resulting in duplicate data.
How should a consultant ingest and map this data in Data Cloud?

A) Ingest the data into one DLO and then map to one custom DMO.
B) Ingest the data into two DLOs and then map to two custom DMOs.
C) Use a data transform to consolidate the data into one DLO and them map it to the individual and Contact Point Email DMOs.
D) Ingest the data into two DLOs and map each to the individual and Contact point Email DMOs.

Solutions: