Microsoft Fabric Analytics Engineer Associate DP-600
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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with integrating prescriptive analytics into a visual report for a financial services company to enhance decision-making. The company has provided a dataset of customer transaction records, and they are particularly interested in understanding customer behavior to tailor their marketing strategies effectively. Considering the need for actionable insights, cost-effectiveness, and scalability, which of the following approaches would you recommend? (Choose one option.)
A
Implement regression analysis to identify key factors influencing transaction volumes and present the findings through a detailed scatter plot, highlighting potential areas for operational improvement.
B
Develop a predictive model to forecast customer churn based on transaction patterns, utilizing a confusion matrix for visualization to assess the model's accuracy and reliability.
C
Conduct a time series analysis to predict future transaction volumes using historical data, with results visualized through an interactive line chart to facilitate trend analysis.
D
Apply advanced clustering techniques to segment customers into distinct groups based on their transaction behavior, enabling the company to devise customized marketing campaigns for each segment.