NTO has a loyalty program to reward repeat customers. The following conditions exists:
1. Reward levels are earned based on the amount spent during the previous 12 months.
2. The program will track every item a customer has bought and grant them points for discount.
3. The program generates 100 million records each month.
NTO customer support would like to see a summary of a customer's recent transaction and reward level(s) they have attained.
Which solution should the data architect use to provide the information within the salesforce for the customer support agents?

• A.Create a custom object in salesforce to capture and store all reward program. Populate nightly from the point-of-scale system, and present on the customer record.
• B.Provide a button so that the agent can quickly open the point of sales system displaying the customer history.
• C.Create a custom big object to capture the reward program data and display it on the contact record and update nightly from the point-of-scale system.
• D.Capture the reward program data in an external data store and present the 12 months trailing summary in salesforce using salesforce connect and then external object.

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(NTO) has multiple salesforce orgs based on geographical reports (AMER, EMEA, APAC). NTO products are in the AMER org and need to be created in the EMEA and APAC after the products are approved.
Which two features should a data architect recommend to share records between salesforce orgs? Choose 2.

• A.Change data capture (CDC)
• B.Salesforce 2 Salesforce
• C.Salesforce connect.
• D.Federation search

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A custom pricing engine for a Salesforce customer has to be decided by factors with the following hierarchy:
1. State in which the customer is located
2. City in which the customer is located if available
3. Zip code in which the customer is located if available
4. Changes to this information should have minimum code change
What should a data architect recommend to maintain this information for the custom pricing engine that is to be built in Salesforce?

• A.Maintain required pricing criteria in custom metadata types.
• B.Configure the pricing criteria in price books.
• C.Assign the pricing criteria within custom pricing engine.
• D.Create a custom object to maintain the pricing criteria.

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Universal Container (UC) has accumulated data over years and has never deleted data from its Salesforce org.
UC is now exceeding the storage allocations in the org. UC is now looking for option to delete unused from the org.
Which three recommendations should a data architect make is order to reduce the number of records from the org?
Choose 3 answers

• A.Identify records in objects that have not been modified or used In last 3 years.
• B.Use hard delete in Bulk API to permanently delete records from Salesforce.
• C.Use hard delete in batch Apex to permanently delete records from Salesforce.
• D.Archive the records in enterprise data warehouse (EDW) before deleting from Salesforce.
• E.Use Rest API to permanently delete records from the Salesforce org.

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UC has multiple SF orgs that are distributed across regional branches. Each branch stores local customer data inside its org's Account and Contact objects. This creates a scenario where UC is unable to view customers across all orgs.
UC has an initiative to create a 360-degree view of the customer, as UC would like to see Account and Contact data from all orgs in one place.
What should a data architect suggest to achieve this 360-degree view of the customer?

• A.Use an ETL tool to migrate gap Accounts and Contacts into each org.
• B.Consolidate the data from each org into a centralized datastore
• C.Use Salesforce Connect's cross-org adapter.
• D.Build a bidirectional integration between all orgs.

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