Microsoft Fabric Analytics Engineer Associate DP-600
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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with integrating prescriptive and predictive analytics into a visual report to analyze a dataset of customer feedback. The solution must not only predict future trends but also suggest actionable insights to improve customer satisfaction. Given the constraints of cost-effectiveness and scalability, which of the following approaches would BEST meet these requirements? (Choose one option)
A
Implement sentiment analysis to categorize feedback into positive, negative, or neutral sentiments, and display the distribution using a pie chart to quickly identify overall customer sentiment trends.
B
Develop a predictive model to forecast potential customer churn based on patterns in feedback, complemented by a time series plot to visualize trends and identify critical periods requiring intervention.
C
Conduct a root cause analysis to pinpoint specific issues leading to negative feedback, using a bar chart to highlight the most common complaints for immediate action.
D
Apply clustering techniques to group customers with similar feedback profiles, visualizing these segments in a scatter plot to tailor personalized engagement strategies.