Salesforce is being deployed in Ursa Major Solar's disparate, multi-system ERP environment. Ursa major Solar wants to maintain data synchronization between systems.
Which two techniques should be used to achieve this goal? (Choose two.)

• A.Integrate Salesforce with the ERP environment.
• B.Utilize workbench to update files within systems.
• C.Utilize an MDM strategy to outline a single source of truth.
• D.Build synchronization reports and dashboards.

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Northern Trail Outfitters would like to report on the type of customers. A custom field for customer type was created in Account object. Users need to be limited to the following defined choices when entering information in this field:
1. High Value
2. Medium Value
3. Low Value
Which strategy should a data architect recommend to configure customer type?

• A.Single-select restricted picklist with defined choices.
• B.Lookup to a custom object with defined choices.
• C.Provide help text to guide users with defined choices.
• D.Create a validation rule to limit entry to defined choices.

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Universal Containers (UC) provides shipping services to its customers. They use Opportunities to track customer shipments. At any given time, shipping status can be one of the 10 values. UC has 200,000 Opportunity records. When creating a new field to track shipping status on opportunity, what should the architect do to improve data quality and avoid data skew?

• A.Create a picklist field, values sorted alphabetically.
• B.Create a Master -Detail to custom object ShippingStatus c.
• C.Create a text field and make it an external I
• D.Create a Lookup to custom object ShippingStatus c.

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UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF.
UC is concerned about SF storage limits but would still like Sales cloud to have access to the data.
Which design patterns should a data architect select to satisfy the requirement?

• A.Use SF Connect to virtualize the data in SF and avoid storage limits.
• B.Build a UI for the on-premise system and iframe it in Salesforce
• C.Migrate and persist the data in SF to take advantage of native functionality.
• D.Develop a bidirectional integration between the on-premise system and Salesforce.

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Universal Container is Implementing salesforce and needs to migrate data from two legacy systems. UC would like to clean and duplicate data before migrate to Salesforce.
Which solution should a data architect recommend a clean migration?

• A.Set up staging data base, and define external IDs to merge, clean duplicate data, and load into Salesforce.
• B.Define duplicate rules in Salesforce, and load data into Salesforce from both databases.
• C.Define external IDs for an object, migrate second database to first database, and load into Salesforce.
• D.Define external IDs for an object, Insert data from one database, and use upsert for a second database

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