Universal Containers is migrating their legacy system's users and data to Salesforce. They will be creating
10,000 users,2 million Account records, and 10 million Invoice records. The visibility of these records is controlled by a few dozen owner and criteria -based sharing rules. What are two approaches that will minimize data loading time during this migration to a new organization? Choose 2 answers

• A.Contact Salesforce to activate indexing before uploading the data.
• B.Defer sharing calculations until the data has finished uploading.
• C.Create the users, upload all data, and then deploy the sharing rules.
• D.First, load all account records, and then load all user records.

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UC has one SF org (Org A) and recently acquired a secondary company with its own Salesforce org (Org B). UC has decided to keep the orgs running separately but would like to bidirectionally share opportunities between the orgs in near-real time.
Which 3 options should a data architect recommend to share data between Org A and Org B?
Choose 3 answers.

• A.Leverage middleware tools to bidirectionally send Opportunity data across orgs.
• B.Install a 3rd party AppExchange tool to handle the data sharing
• C.Develop an Apex class that pushes opportunity data between orgs daily via the Apex schedule.
• D.Use Salesforce Connect and the cross-org adapter to visualize Opportunities into external objects
• E.Leverage Heroku Connect and Heroku Postgres to bidirectionally sync Opportunities.

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Universal Containers has millions of rows of data in Salesforce that are being used in reports to evaluate historical trends. Performance has become an issue, as well as data storage limits. Which two strategies should be recommended when talking with stakeholders?

• A.Use Data Loader to extract data, aggregate it, and write it back to a custom object, then delete the original records.
• B.Use scheduled batch Apex to copy aggregate information into a custom object and delete the original records.
• C.Combine Analytics Snapshots with a purging plan by reporting on the snapshot data and deleting the original records.
• D.Configure the Salesforce Archiving feature to archive older records and remove them from the data storage limits.

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UC has millions of Cases and are running out of storage. Some user groups need to have access to historical cases for up to 7 years.
Which 2 solutions should a data architect recommend in order to minimize performance and storage issues?
Choose 2 answers:

• A.Leverage on premise data archival and build integration to view archived data.
• B.Export data out of salesforce and store in Flat files on external system.
• C.Create a custom object to store case history and run reports on it.
• D.Leverage big object to archive case data and lightning components to show archived data.

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UC has a salesforce org with multiple automated processes defined for group membership process. UC also have multiple admins on staff that perform manual adjustments to the role hierarchy. The automated task and manual task overlap daily and UC is experiencing "Lock errors" consistently.
What should a data architect recommend mitigate these errors?

• A.Ask salesforce support for addition CPU power.
• B.Remove SOQL statements from APEX loops.
• C.Enable granular locking.
• D.Enable sharing recalculations

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