Microsoft Fabric Analytics Engineer Associate DP-600
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Given a dataset that is highly aggregated, describe how you would de-aggregate this data to reveal more granular details. Include the methods and tools you would use, and how you would ensure the integrity of the de-aggregated data.
A
De-aggregate by simply splitting the aggregated data into smaller, arbitrary chunks without any specific method.
B
Use statistical methods to infer granular details from aggregated data, ensuring integrity through validation against original sources.
C
Avoid de-aggregation to maintain the simplicity of the data.
D
De-aggregate by duplicating the aggregated data multiple times to create the illusion of granularity.