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You have a Fabric tenant that contains customer churn data stored as Parquet files in OneLake. The data contains details about customer demographics and product usage. You create a Fabric notebook to read the data into a Spark DataFrame. You then create column charts in the notebook that show the distribution of retained customers as compared to lost customers based on geography, the number of products purchased, age, and customer tenure. Which type of analytics are you performing?
Correct Answer: B
Descriptive analytics tells what happened in the past, presenting it as numbers and visuals in reports and dashboards. Diagnostic analytics gives the reason why something happened. Predictive analytics determines the potential outcomes of present and past actions and trends. Prescriptive analytics offers decision support for the best course of action. Given the scenario in the question where data is read into a Spark DataFrame and column charts are created to show the distribution of retained customers compared to lost customers based on various factors, this falls under the definition of descriptive analytics. No future predictions or prescriptions are made, nor are reasons for the past events provided.