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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 fraudulent transactions in a financial institution. The dataset includes 'TransactionID', 'Amount', 'Date', 'CustomerID', and 'FraudFlag'. Describe how you would use SQL queries and data visualization tools in Microsoft Fabric to identify key factors contributing to fraud. 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 fraud flags and other variables. Using SQL to filter data by FraudFlag and analyzing these correlations with heat maps provides a clear visualization of which factors are most strongly associated with fraudulent transactions.

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