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Answer: Predicting customer churn by automatically developing time-series models
The question asks for a common analytics application that can be completed using Databricks SQL. Databricks SQL is specifically designed for SQL-based analytics, reporting, and business intelligence tasks on the data lakehouse. Option C (Predicting customer churn by automatically developing time-series models) is the correct answer because it represents a typical analytics use case where SQL queries can be used to analyze historical data patterns and build predictive models for business insights. The community discussion shows 100% consensus on C, with users confirming it as the logical choice for Databricks SQL analytics applications. Option A involves latency testing of streaming workloads, which is more engineering-focused. Option B refers to ETL on gold-layer tables, which is data engineering rather than analytics. Option D involves monitoring ML solutions, which is more operational than analytical.
Author: LeetQuiz Editorial Team
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Which example of a data project represents a common analytics application that can be completed using Databricks SQL?
A
Testing the latency of real-time streaming workloads
B
Performing analysis-specific ETL on gold-layer tables
C
Predicting customer churn by automatically developing time-series models
D
Monitoring the performance of deployed machine learning solutions
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