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Universal Containers (UC) is using Sales Cloud and Service Cloud. UC wants a solution that can tend scheduled emails on a dairy, weekly, or monthly basis to existing customers and prospects. UC also wants to track if customers haveopened the emails. There can be as little as 1,000 emails in a week or as many as 100,000 emails in a month, depending on the season.

Based on that criteria, which solution should the Solution Architect recommend to UC?

A.
Set up scheduled flows to handleemail sending and tracking.
A.
Set up scheduled flows to handleemail sending and tracking.
Answers
B.
Recommend Marketing Cloud Account Engagement.
B.
Recommend Marketing Cloud Account Engagement.
Answers
C.
Develop a custom solution using scheduled Apex to send emails.
C.
Develop a custom solution using scheduled Apex to send emails.
Answers
D.
Recommend Marketing Cloud Personalization.
D.
Recommend Marketing Cloud Personalization.
Answers
Suggested answer: B

Explanation:

For Universal Containers' requirements of sending scheduled emails and tracking opens, Marketing Cloud Account Engagement (formerly Pardot) is the recommended solution. It is specifically designed for B2B marketing automation, including email campaigns, lead nurturing, and engagement tracking. Marketing Cloud Account Engagement can handle the variable volume of emails and provides detailed analytics on email interactions, ensuring UC can effectively communicate with its audience and gain insights into campaign performance, in line with Salesforce's marketing automation best practices.

Universal Containers uses an ERP as system of record (SOR) for its product data, and Sales Cloud and Revenue Cloud for its sales data. TheProduct data must be synced with Salesforce so that sales representatives can add the products to their Opportunities and Quotes. As Products are deactivated within the ERP, they should no longer be available. Since Sales Cloud is the SOR for Opportunities and Revenue Cloud is the SOR for Quotes, the Solution Architect has been asked to come up with an archiving strategy that preserves Opportunity and Quote data related to these deactivated products m Salesforce for historical reference.

What should a Solution Architect recommend to manage the deactivation of the Products and archiving of the Saks data?

A.
Delete the Product in Salesforce once it is deactivated in the ERP. Archive the Opportunity and Quote data m a third-party system and bring back into Salesforce as External Objects.
A.
Delete the Product in Salesforce once it is deactivated in the ERP. Archive the Opportunity and Quote data m a third-party system and bring back into Salesforce as External Objects.
Answers
B.
Remove the Product from active Opportunities and Quotes. Archive the Opportunity and Quote data in a third-parry system and bring back into Salesforce as External Objects.
B.
Remove the Product from active Opportunities and Quotes. Archive the Opportunity and Quote data in a third-parry system and bring back into Salesforce as External Objects.
Answers
C.
Deactivate the Product m Salesforce once it is deactivated m the ERP. Archive the Opportunity and Quote data in a third-party system and bring back into Salesforce as External Objects.
C.
Deactivate the Product m Salesforce once it is deactivated m the ERP. Archive the Opportunity and Quote data in a third-party system and bring back into Salesforce as External Objects.
Answers
D.
Deactivate the Product in Salesforce once it is deactivated m the ERP. Mark the Opportunity and Quote data in Salesforce as inactive so they do not show up in reporting.
D.
Deactivate the Product in Salesforce once it is deactivated m the ERP. Mark the Opportunity and Quote data in Salesforce as inactive so they do not show up in reporting.
Answers
Suggested answer: D

Explanation:

Deactivating products in Salesforce aligns with the ERP's status, maintaining data integrity without losing historical data. Marking related Opportunity and Quote data as inactive preserves historical records for reference without affecting active reporting, ensuring compliance with data retention policies and supporting accurate data analysis and decision-making.


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