A customer wants to maintain geographic location information including latitude and longitude in a custom object. What would a data architect recommend to satisfy this requirement?

• A.Create a geolocation custom field to maintain this requirement
• B.Recommend app exchange packages to support this requirement.
• C.Create formula fields with geolocation function for this requirement.
• D.Create custom fields to maintain latitude and longitude information

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Universal Containers (UC) is migrating from a legacy system to Salesforce CRM, UC is concerned about the quality of data being entered by users and through external integrations.
Which two solutions should a data architect recommend to mitigate data quality issues?

• A.Leverage picklist and lookup fields where possible
• B.Leverage Apex to validate the format of data being entered via a mobile device.
• C.Leverage validation rules and workflows.
• D.Leverage third-party- AppExchange tools

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Universal Containers has a requirement to store more than 100 million records in salesforce and needs to create a custom big object to support this business requirement.
Which two tools should a data architect use to build custom object?

• A.Use Metadata API to create big object.
• B.Go to Big Object In setup select new to create big object.
• C.Use DX to create big object.
• D.Go to Object manager In setup and select new to create big object.

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Universal Containers (UC) needs to move millions of records from an external enterprise resource planning (ERP) system into Salesforce.
What should a data architect recommend to be done while using the Bulk API in serial mode instead of parallel mode?

• A.Placing 20 batches on the queue for upset jobs.
• B.Inserting 1 million orders distributed across a variety of accounts with lock exceptions eliminated and managed.
• C.Inserting 1 million orders distributed across a variety of accounts with potential lock exceptions.
• D.Leveraging a controlled feed load with 10 batches per job.

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UC is rolling out Sales App globally to bring sales teams together on one platform. UC expects millions of opportunities and accounts to be creates and is concerned about the performance of the application.
Which 3 recommendations should the data architect make to avoid the data skew? Choose 3 answers.

• A.Limit assigning one user 10000 records ownership.
• B.Use picklist fields rather than lookup to custom object.
• C.Assign 10000 opportunities to one account.
• D.Limit associating 10000 records looking up to same records.
• E.Limit associating 10000 opportunities to one account.

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