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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with optimizing a semantic model that contains a large number of complex KPIs (Key Performance Indicators). The model is experiencing performance degradation due to the complexity and volume of these KPIs. The organization requires real-time analytics for decision-making, and the solution must adhere to strict compliance standards without significantly increasing operational costs. Which of the following approaches would BEST optimize the performance of the semantic model while meeting the organization's requirements? (Choose one option)
A
Eliminate all KPIs from the model to simplify processing, despite the potential loss of critical business insights.
B
Conduct a thorough analysis of the KPIs to identify inefficiencies and refactor them using more optimized calculation methods and logic, ensuring minimal impact on real-time analytics.
C
Switch to manual processing of KPIs to reduce immediate system load, accepting delays in analytics availability.
D
Upgrade the infrastructure to allocate more memory and processing power to the semantic model, incurring higher operational costs.