Microsoft Fabric Analytics Engineer Associate DP-600
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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with implementing descriptive analytics for a healthcare organization to analyze patient visit patterns. The organization is particularly interested in understanding how visit patterns vary across different demographics to better allocate resources and improve patient care. The solution must comply with healthcare data privacy regulations and be scalable to handle increasing data volumes. Which of the following approaches would BEST meet these requirements and why? (Choose one option.)
A
Calculate the average length of patient visits and visualize the results using a box plot, focusing solely on the temporal aspects of visits.
B
Perform a cohort analysis to compare patient visit patterns across different age groups, enabling targeted interventions and resource allocation.
C
Develop a predictive model to forecast patient visit volumes based on historical data, anticipating future needs but not addressing current patterns.
D
Use association rule mining to identify frequently co-occurring patient visit patterns, which may not directly inform demographic-specific resource allocation.