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Microsoft Fabric Analytics Engineer Associate DP-600

Microsoft Fabric Analytics Engineer Associate DP-600

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In your role, you need to implement diagnostic analytics to understand the reasons behind customer churn in a telecom company. The dataset includes 'CustomerID', 'Age', 'Gender', 'ServiceType', 'MonthlyCharges', and 'Churn'. Describe how you would use SQL queries and data visualization tools in Microsoft Fabric to identify key factors contributing to churn. Include the types of analyses you would perform and the visualizations that would best represent these findings.

Simulated



Explanation:

Diagnostic analytics involves identifying correlations between churn and other variables. Using SQL to filter data by Churn and analyzing these correlations with heat maps provides a clear visualization of which factors are most strongly associated with customer churn.

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