QuestionQ55

Prepare data

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?

  • A diagnostic
  • B descriptive
  • C prescriptive
  • D predictive
Explanation

Descriptive analytics describes historical data through numbers and visualizations without explaining causation or making predictions. Creating charts showing the distribution of retained vs. lost customers by geography, product purchases, age, and tenure is describing what happened in the past. Diagnostic analytics would explain why churn occurred; predictive would forecast future outcomes; prescriptive would recommend actions. This scenario is purely descriptive.

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