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Data-Architecture-And-Management-Designer – Salesforce Certified Data Architecture and Management Designer (SU18)

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Showing 7–9 of 15 questions

Question 7

A data architect has been tasked with optimizing a data stewardship engagement for a Salesforce instance Which three areas of Salesforce should the architect review before proposing any design recommendation? Choose 3 answers

Select all that apply, then click Submit answer.

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    Review the metadata xml files for redundant fields to consolidate.

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    Determine if any integration points create records in Salesforce.

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    Run key reports to determine what fields should be required.

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    Export the setup audit trail to review what fields are being used.

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    Review the sharing model to determine impact on duplicate records.


Question 8

As part of addressing general data protection regulation (GDPR) requirements, UC plans to implement a data classification policy for all its internal systems that stores customer information including salesforce.

What should a data architect recommend so that UC can easily classify consumer information maintained in salesforce under both standard and custom objects?

Select an option, then click Submit answer.

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    Use App Exchange products to classify fields based on policy.

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    Use data classification metadata fields available in field definition.

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    Create a custom picklist field to capture classification of information on customer.

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    Build reports for customer information and validate.


Question 9

UC recently migrated 1 Billion customer related records from a legacy data store to Heroku Postgres. A subset of the data need to be synchronized with salesforce so that service agents are able to support customers directly within the service console. The remaining non- synchronized set of data will need to be accessed by salesforce at any point in time, but UC management is concerned about storage limitations.

What should a data architect recommend to meet these requirements with minimal effort?

Select an option, then click Submit answer.

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    Virtualize the remaining set of data with salesforce connect and external objects.

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    Use Heroku connect to bi-directional, sync all data between systems.

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    As needed, make call outs into Heroku postgres and persist the data in salesforce.

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    Migrate the data to big objects and leverage async SOQL with custom objects.