
Ultimate access to all questions.
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.