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Question 153 - Certified Data Architect discussion

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UC recently migrated 1 Billion customer related records from a legacy data store to Heroku Postgres. A subset of the data need to be synchronized with salesforce so that service agents are able to support customers directly within the service console. The remaining non- synchronized set of data will need to be accessed by salesforce at any point in time, but UC management is concerned about storage limitations.

What should a data architect recommend to meet these requirements with minimal effort?

A.
Virtualize the remaining set of data with salesforce connect and external objects.
Answers
A.
Virtualize the remaining set of data with salesforce connect and external objects.
B.
Use Heroku connect to bi-directional, sync all data between systems.
Answers
B.
Use Heroku connect to bi-directional, sync all data between systems.
C.
As needed, make call outs into Heroku postgres and persist the data in salesforce.
Answers
C.
As needed, make call outs into Heroku postgres and persist the data in salesforce.
D.
Migrate the data to big objects and leverage async SOQL with custom objects.
Answers
D.
Migrate the data to big objects and leverage async SOQL with custom objects.
Suggested answer: A

Explanation:

Virtualizing the remaining set of data with salesforce connect and external objects is the best way to meet the requirements with minimal effort, as it allows salesforce to access data stored in Heroku Postgres without storing it in salesforce. This reduces the storage limitations and avoids data duplication. Heroku connect can bi-directionally sync data between systems, but it requires more configuration and maintenance. Making callouts to Heroku Postgres and persisting the data in salesforce may not be feasible for 1 billion records.Migrating the data to big objects may incur additional costs and require custom code to use async SOQL

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asked 23/09/2024
Charalambos Pasvantis
40 questions
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