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Answer: Conduct a thorough analysis of the existing hierarchies to identify inefficiencies and refactor them into more optimized structures and relationships, ensuring minimal impact on data integrity and analytical capabilities.
Option B is the correct choice because it addresses the root cause of the performance issues by optimizing the hierarchies themselves, which is both cost-effective and scalable. It ensures that the model remains efficient without sacrificing the analytical depth provided by hierarchies. Option A, while simplifying the model, would likely compromise the ability to perform detailed financial analysis. Option C introduces operational inefficiencies by requiring manual processing, and Option D does not solve the structural issues and could lead to unnecessary costs.
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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 hierarchies, leading to performance degradation. The model is critical for real-time analytics in a financial reporting scenario where accuracy and speed are paramount. You need to ensure the solution is cost-effective, scalable, and maintains data integrity. Which of the following steps would you take to optimize the performance of the semantic model? (Choose one)
A
Eliminate all hierarchies and implement flat data structures to simplify the model, despite potential loss of analytical depth.
B
Conduct a thorough analysis of the existing hierarchies to identify inefficiencies and refactor them into more optimized structures and relationships, ensuring minimal impact on data integrity and analytical capabilities.
C
Disable the automatic processing feature for hierarchies to reduce initial load times, accepting that manual intervention will be required for updates, which may delay insights.
D
Request additional resources to increase the memory and processing power allocated to the semantic model, without addressing the underlying structural inefficiencies.
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