You design the data integration between customer’s external data and the Power Platform solution. 
What are three major approaches for data integration into the Dataverse that can help your design?

Answer options:

A.Using Dashboards
B.Data import
C.Transform and import data using Power Query
D.Creating Datasets
E.Scheduled integration with other systems

Correct Answers: B, C and E 
Dataverse provides several tools to import and export data. They include Data Import Wizard, Power Query, Power Automate, Dataflows, and others. A Solution Architect always needs to assess when to bring data into the Dataverse or connect to an external data source. 
Dataverse can integrate various data types from multiple sources. There are three major approaches to import data into and integrate data with the Dataverse: Scheduled integration with other systems — users can sync data from other sources into Dataverse and schedule it.
Transform and import data using Power Query — Power Query helps extract and transform data for import into Dataverse. Dataflows use Power Query for data connectivity, preparation, and transformation, and then load data into the Dataverse, Power BI workspace, or Azure Data Lake storage account.
Data import — users can use a simple one-time (or occasional) data import from Excel or CSV files.
Option A is incorrect because the Dashboards can present data, but it does not import data into the Dataverse.
Option D is incorrect because Power BI datasets result from the data import or integration, but it does not import data into the Dataverse.
For more information about Dataverse data integration, please visit the below URL: 

https://docs.microsoft.com/en-us/learn/modules/power-platform-architecture/4-data
https://docs.microsoft.com/en-us/powerapps/maker/common-data-service/data-platform-intro#integrating-data-into-dataverse
https://docs.microsoft.com/en-us/powerapps/user/import-data
https://docs.microsoft.com/en-us/power-query/dataflows/overview-dataflows-across-power-platform-dynamics-365