Ursa Major Solar has defined a new Data Quality Plan for their Salesforce data.
Which two approaches should an Architect recommend to enforce the plan throughout the organization?
(Choose two.)

• A.Ensure all data is stored in an external system and set up an integration to Salesforce for view-only access.
• B.Schedule reports that will automatically catch duplicates and merge or delete the records every week.
• C.Enforce critical business processes by using Workflow, Validation Rules, and Apex code.
• D.Schedule a weekly dashboard displaying records that are missing information to be sent to managers for review.

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North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data-visibility issues.
Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.
Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?

• A.A middleware solution that extracts and distributes data across both the hub and spokes.
• B.Develop custom APIs to poll the hub org for change data and push into the spoke orgs.
• C.Develop custom APIs to poll the spoke for change data and push into the org.
• D.A backup and archive solution that extracts and restores data across orgs.

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Universal Containers (UC) is building a Service Cloud call center application and has a multisystem support solution. UC would like or ensure that all systems have access to the same customer information.
What solution should a data architect recommend?

• A.Make Salesforce the system of record for all data.
• B.Implement a master data management (MDM) strategy for customer data.
• C.Load customer data in all systems.
• D.Let each system be an owner of data it generates.

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Universal Containers has multiple systems all containing and maintaining customer data. Although point-to-point integrations are in place, customers are complaining about consistency in the data.
What solution should the data architect recommend?

• A.Improve existing point-to-point integrations
• B.Data cleanse each system
• C.Perform a onetime synchronization to level set the built up inconsistencies
• D.An MDM solution as the customer master, with centralized integrations to ensure consistency across all systems.

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NTO has outgrown its current salesforce org and will be migrating to new org shortly. As part of this process NTO will be migrating all of its metadata and dat a. NTO's data model in the source org has a complex relationship hierarchy with several master detail and lookup relationships across objects, which should be maintained in target org.
What 3 things should a data architect do to maintain the relationship hierarchy during migration?
Choose 3 answers:

• A.Use data loader to export the data from source org and then import or Upsert into the target org in sequential order.
• B.Create a external id field for each object in the target org and map source record ID's to this field.
• C.Redefine the master detail relationship fields to lookup relationship fields in the target org.
• D.Replace source record ID's with new record ID's from the target org in the import file.
• E.Keep the relationship fields populated with the source record ID's in the import file.

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