Question 1 of 30
In a scenario where a data analyst is tasked with predicting customer churn for a subscription-based service using Oracle Machine Learning, which approach would be most effective in leveraging the capabilities of OML to achieve accurate predictions?
Utilize the built-in classification algorithms in OML to analyze historical customer data directly within the database, ensuring efficient processing and minimizing data movement.
Export the historical customer data to a separate machine learning platform for analysis, allowing for the use of advanced visualization tools and algorithms not available in OML.
Implement a manual data preparation process outside of the database to clean and transform the data before importing it back into OML for model training.
Use a combination of SQL queries to summarize customer behavior and then apply a simple linear regression model in OML without considering the complexities of customer interactions.

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