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Question 187 - Certified Data Architect discussion

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North Trail Outfitters (NTO) operates a majority of its business from a central Salesforce org, NTO also owns several secondary orgs that the service, finance, and marketing teams work out of, At the moment, there is no integration between central and secondary orgs, leading to data-visibility issues.

Moving forward, NTO has identified that a hub-and-spoke model is the proper architect to manage its data, where the central org is the hub and the secondary orgs are the spokes.

Which tool should a data architect use to orchestrate data between the hub org and spoke orgs?

A.
A middleware solution that extracts and distributes data across both the hub and spokes.
Answers
A.
A middleware solution that extracts and distributes data across both the hub and spokes.
B.
Develop custom APIs to poll the hub org for change data and push into the spoke orgs.
Answers
B.
Develop custom APIs to poll the hub org for change data and push into the spoke orgs.
C.
Develop custom APIs to poll the spoke for change data and push into the org.
Answers
C.
Develop custom APIs to poll the spoke for change data and push into the org.
D.
A backup and archive solution that extracts and restores data across orgs.
Answers
D.
A backup and archive solution that extracts and restores data across orgs.
Suggested answer: A

Explanation:

According to the Salesforce documentation, a hub-and-spoke model is an integration architecture pattern that allows connecting multiple Salesforce orgs using a central org (hub) and one or more secondary orgs (spokes). The hub org acts as the master data source and orchestrates the data flow between the spoke orgs. The spoke orgs act as the consumers or producers of the data and communicate with the hub org.

To orchestrate data between the hub org and spoke orgs, a data architect should use:

A middleware solution that extracts and distributes data across both the hub and spokes (option A). This means using an external service or tool that can connect to multiple Salesforce orgs using APIs or connectors, and perform data extraction, transformation, and distribution operations between the hub and spoke orgs. This can provide a scalable, flexible, and reliable way to orchestrate data across multiple orgs.

Developing custom APIs to poll the hub org for change data and push into the spoke orgs (option B) is not a good solution, as it can be complex, costly, and difficult to maintain. It may also not be able to handle large volumes of data or complex transformations efficiently. Developing custom APIs to poll the spoke orgs for change data and push into the hub org (option C) is also not a good solution, as it can have the same drawbacks as option B. It may also not be able to handle conflicts or errors effectively. Using a backup and archive solution that extracts and restores data across orgs (option D) is also not a good solution, as it can incur additional costs and dependencies. It may also not be able to handle real-time or near-real-time data orchestration requirements.

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asked 23/09/2024
gregory koontz
42 questions
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