Microsoft Fabric Analytics Engineer Associate DP-600

Microsoft Fabric Analytics Engineer Associate DP-600

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You need to profile a dataset from a financial institution containing transaction records with fields such as 'TransactionID', 'Amount', 'Date', 'CustomerID', and 'FraudFlag'. Describe the process you would follow to understand the structure, content, and quality of this data. Include specific techniques you would use to identify outliers, missing values, and potential data inconsistencies.




Explanation:

Profiling data involves using summary statistics to get an overview of the data distribution and histograms to visualize these distributions. This helps in identifying outliers and missing values effectively, which are critical for ensuring data quality.