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As a Microsoft Fabric Analytics Engineer Associate, you are planning to deploy a semantic model to a Power BI dataset using the XMLA endpoint. Your deployment must consider cost efficiency, compliance with organizational data policies, and scalability for future growth. Which of the following approaches BEST meets these requirements and why? Choose the correct option from the following:
A
Directly use the XMLA endpoint to connect to the Power BI dataset and deploy the semantic model without any intermediate steps, ensuring minimal deployment time.
B
Convert the semantic model into the Power BI data model format manually, then import it into the Power BI dataset using Power BI Desktop, focusing on maintaining data integrity during conversion.
C
Create a new workspace in Power BI Service, import the semantic model into this workspace, and manually configure each data source to point to the correct dataset, ensuring all data sources are verified for compliance.
D
Host the semantic model on Azure Analysis Services to leverage its support for XMLA, then configure the XMLA endpoint to connect to the Power BI dataset, ensuring the solution is scalable and complies with data policies.
E
None of the above.