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Answer: descriptive
Descriptive analytics tells what happened in the past, presenting it as numbers and visuals like reports and dashboards. In this scenario, the 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, as no future predictions, prescriptions, or reasons for past events are provided.
Author: LeetQuiz Editorial Team
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Consider a scenario where you manage a Fabric tenant that houses customer churn data, stored in Parquet files within OneLake. This dataset includes information on customer demographics and their product usage patterns. You utilize a Fabric notebook to import this data into a Spark DataFrame. Afterward, you generate column charts within the notebook to visualize the distribution of retained versus lost customers, broken down by factors such as geography, number of products purchased, age, and customer tenure. What type of analytics does this task primarily represent? A. Diagnostic B. Descriptive C. Prescriptive D. Predictive
A
diagnostic
B
descriptive
C
prescriptive
D
predictive
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