Components for Power Platform Solution

Correct Answers: A, C and.

E.

Power Platform provides a variety of tools to extend the platform and user experience.

If you need to work with the Dataverse, you can use the Dataverse Web API and Organization service.

Or develop your business logic by using the Dataverse plug-ins.

You can use Data import, Synchronization, Virtual entities, Azure integration, and Webhooks for integration purposes.

Dataverse data integration can be defined as an inbound and outbound process.

The inbound data integration brings data into the Dataverse database and the outbound - from the Dataverse.

There are two patterns to bring data in or out: pull and push.

To trigger data out (push), the Dataverse uses the Event Framework that provides a capability to register the custom code to run on a specific event, like data update.

You can use the Dataverse Plug-in tool to register the Plug-in or Webhooks to trigger the message to the third-party provider.

In the case of an Automated flow, you can use the Common Data Service (current environment) trigger "When a row is added, modified or deleted.” Option B is incorrect because the Change tracking option and Delta links help track the delta in data changes.

But it is not a push data process - you need to pull data using Web API.

Option D is incorrect because the business rules' scope is within the Dataverse data, and the business rule cannot push data to the third-party provider.

For more information about the third-party data integration, please visit the below URL:

Sure, I'd be happy to explain each of the components and how they could be used in the integration design.

A. Plug-ins: A plug-in is a custom code that runs on the server-side of the Power Platform environment. It allows you to extend the platform's capabilities by executing code in response to a specific event. In this case, you could create a plug-in that runs whenever data is updated in the Dataverse. The plug-in would then push the updated data to the third-party data provider.

B. Change tracking: Change tracking is a feature in the Dataverse that tracks changes to the data in a table. It allows you to quickly identify changes to the data, which is useful for synchronization scenarios. In this case, you could enable change tracking for the table that contains the data you want to integrate with the third-party data provider. You could then use this information to push the changes to the third-party data provider.

C. Automated flow: Automated flow is a component in the Power Platform that allows you to create workflows that automate repetitive tasks. You can use an automated flow to detect when data is updated in the Dataverse and then trigger an action that pushes the updated data to the third-party data provider. You can create an automated flow using the Power Automate application.

D. Business rules: Business rules are a feature in the Dataverse that allow you to create rules that enforce data validation and automate business processes. You could use a business rule to enforce a specific business rule when data is updated in the Dataverse. For example, you could create a business rule that checks if a specific field has been updated, and if it has, triggers an action that pushes the updated data to the third-party data provider.

E. Webhooks: Webhooks are a way to receive real-time notifications when a specific event occurs. You can use a webhook to notify a third-party data provider whenever data is updated in the Dataverse. When data is updated, a webhook is triggered, and a notification is sent to the third-party data provider. The third-party data provider can then retrieve the updated data from the Dataverse.

In summary, for this integration design, you could use plug-ins, change tracking, and automated flow. The plug-in would execute custom code to push updated data to the third-party data provider, change tracking would detect when the data has been updated, and the automated flow would trigger the action to push the updated data to the third-party data provider.