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You have a deployment pipeline for a Power BI workspace. The workspace contains two datasets that use import storage mode. A database administrator reports a drastic increase in the number of queries sent from the Power Bi service to an Azure SQL database since the creation of the deployment pipeline. An investigation into the issue identifies the following: One of the datasets is larger than 1 GB and has a fact table that contains more than 500 million rows. When publishing dataset changes to development, test, or production pipelines, a refresh is triggered against the entire dataset. You need to recommend a solution to reduce the size of the queries sent to the database when the dataset changes are published to development, test, or production. What should you recommend?
Correct Answer: C
Previously in Power BI Desktop, when you used a DirectQuery in a report, no other data connections, whether DirectQuery or import, were allowed for that report. With composite models, that restriction is removed. A report can seamlessly include data connections from more than one DirectQuery or import data connection, in any combination you choose. The composite models capability in Power BI Desktop consists of three related features: * Composite models: Allows a report to have two or more data connections from different source groups, such as one or more DirectQuery connections and an import connection, two or more DirectQuery connections, or any combination thereof. * Etc.