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Answer: Filter the dataset to reduce the amount of data being processed by the report visual, ensuring compliance with data governance policies.
Option A is the correct approach as it directly addresses the performance issue by reducing the data volume processed by the report visual, aligning with cost-efficiency and compliance priorities. Simplifying calculations (Option B) may compromise report accuracy. Increasing hardware resources (Option C) is a less cost-effective solution that doesn't tackle the underlying problem. Implementing caching (Option D) might violate real-time data requirements under certain governance policies.
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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with optimizing a report visual that is experiencing slow load and render times due to a large dataset and complex calculations. The organization prioritizes cost-efficiency and compliance with data governance policies. Considering these constraints, which of the following steps would you take FIRST to optimize the performance of the report visual? (Choose one option.)
A
Filter the dataset to reduce the amount of data being processed by the report visual, ensuring compliance with data governance policies.
B
Simplify the calculations in the report visual to reduce computational complexity, potentially affecting the accuracy of the report.
C
Increase the hardware resources allocated to the report server, which may lead to higher costs without addressing the root cause of the performance issue.
D
Implement caching mechanisms to store pre-computed results, which may not be compliant with data governance policies requiring real-time data.
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