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NEW QUESTION # 116
UC has migrated its Back-office data into an on-premise database with REST API access. UC recently implemented Sales cloud for its sales organization. But users are complaining about a lack of order data inside SF.
UC is concerned about SF storage limits but would still like Sales cloud to have access to the data.
Which design patterns should a data architect select to satisfy the requirement?
Answer: B
Explanation:
The best design pattern to satisfy the requirement of accessing order data from an on-premise database with REST API access without consuming SF storage limits is to use SF Connect to virtualize the data in SF and avoid storage limits. SF Connect is an integration tool that allows users to access and integrate data from external sources using external objects. External objects are similar to custom objects, except that the data resides in another system and is accessed in real time via web service callouts. SF Connect supports various adapters to connect to different types of external data sources, such as OData, cross-org, or Apex custom adapter11. Migrate and persist the data in SF to take advantage of native functionality is not a good option because it would consume SF storage limits and require data synchronization between systems. Develop a bidirectional integration between the on-premise system and Salesforce is not a good option because it would be complex and costly to implement and maintain, and it would also consume SF storage limits. Build a UI for the on-premise system and iframe it in Salesforce is not a good option because it would not provide a seamless user experience and it would not allow users to search, report, or perform actions on the external data.
NEW QUESTION # 117
UC has to built a B2C ecommerce site on Heroku that shares customer and order data with a Heroku Postgres database. UC is currently utilizing Postgres as the single source of truth for both customers and orders. UC has asked a data architect to replicate the data into salesforce so that salesforce can now act as the system of record.
What are the 3 considerations that data architect should weigh before implementing this requirement? Choose
23 answers:
Answer: B,C,F
Explanation:
Before replicating the data from Heroku Postgres to Salesforce, the data architect should consider the following factors:
Whether the data is a driver of key processes implemented within Salesforce. For example, if the data is used for workflows, triggers, or validation rules, it should be replicated to Salesforce.
Whether there is a tight relationship between order data and an enterprise resource planning (ERP) application. For example, if the order data needs to be synchronized with the ERP system, it should be replicated to Salesforce.
The selection of the tool required to replicate the data. For example, Heroku Connect can be used to bi-directionally sync data between Heroku Postgres and Salesforce
NEW QUESTION # 118
Universal Containers (UC) is going thought major reorganization of their sales team. This would require changes to a large a number of group members and sharing rules. UCs administrator is concerned about long processing time and failure during the process.
What should a Data architect implement to make changes efficiently?
Answer: C
NEW QUESTION # 119
Universal Containers (UC) has a custom discount request object set as a detail object with a custom product object as the master. There is a requirement to allow the creation of generic discount requests without the custom product object as its master record. What solution should an Architect recommend to UC?
Answer: D
NEW QUESTION # 120
Universal Containers (UC) is building a Service Cloud call center application and has a multisystem support solution. UC would like or ensure that all systems have access to the same customer information.
What solution should a data architect recommend?
Answer: D
Explanation:
A master data management (MDM) strategy for customer data can help UC ensure that all systems have access to the same customer information, without loading or duplicating data in all systems. An MDM strategy can also help UC avoid data conflicts and inconsistencies that may arise from having multiple systems as owners of data.
NEW QUESTION # 121
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