Universal Container (US) is replacing a home grown CRM solution with Salesforce, UC has decided to migrate operational (Open and active) records to Salesforce, while keeping historical records in legacy system, UC would like historical records to be available in Salesforce on an as needed basis.
Which solution should a data architect recommend to meet business requirement?

• A.Build a chair solution to go the legacy system and display records.
• B.Leverage real-time integration to pull records into Salesforce.
• C.Leverage mashup to display historical records in Salesforce.
• D.Bring all data Salesforce, and delete it after a year.

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Get Cloudy Consulting is introducing a data governance program that has a formal, cross-business-unit structure. The company is creating a team that will make decisions on enterprise-wide data governance.
Which two roles are appropriate as members of this team? (Choose two.)

• A.Data Domain Stewards
• B.Analytics/BI Owners
• C.Salesforce Administrators
• D.Operational Data Users

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Ursa Major Solar has 4 million rows of data in Salesforce that are used in reports to assess historical trends.
Both performance and data storage limits have become an issue.
Which two strategies are appropriate when discussing the issue with stakeholders? (Choose two.)

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

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Every year, Ursa Major Solar has more than 1 million orders. Each order contains an average of 10 line items. The Chief Executive Officer (CEO) needs the Sales Reps to see how much money each customer generates year-over-year. However, data storage is running low in Salesforce.
Which approach for data archiving is appropriate for this scenario?

• A.1. Annually delete orders and order line items. 2. Ensure the customer has order information in another system.
• B.1. Annually aggregate order amount data to store in a custom object. 2. Delete those orders and order line items.
• C.1. Annually export and delete orders and order line items. 2. Store them in a zip file in case the data is needed later.
• D.1. Annually export and delete order line items. 2. Store them in a zip file in case the data is needed later.

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DreamHouse Realty has 15 million records in the Order_c custom object. When running a bulk query, the query times out.
What should be considered to address this issue?

• A.Tooling API
• B.Streaming API
• C.Metadata API
• D.PK Chunking

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