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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with implementing a comprehensive data visualization and reporting solution within your organization's Fabric environment. The solution must meet the following requirements: 1) Provide interactive reports and dashboards that offer deep insights into the data. 2) Ensure seamless integration with the existing Fabric environment without disrupting current operations. 3) Optimize for cost-efficiency and scalability to accommodate future data growth. Considering these requirements, which of the following approaches would BEST fulfill the organization's needs? (Choose one option.)
A
Directly use Power BI to connect to the Fabric environment for creating interactive reports and dashboards, focusing solely on visualization capabilities.
B
Leverage Azure Analysis Services to build a semantic model over the Fabric environment, then use Power BI to connect to this model for creating interactive reports and dashboards, ensuring a unified and optimized data view.
C
Implement Azure Data Factory pipelines to ingest data from the Fabric environment into a separate storage solution, then use Power BI for reporting, adding an extra layer of data processing.
D
Utilize Azure Monitor and Azure Application Insights to track the Fabric environment's performance and generate reports, focusing on operational metrics rather than business data insights.