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PROFESSIONAL-DATA-ENGINEER · Question #174
PROFESSIONAL-DATA-ENGINEER Question #174: Real Exam Question with Answer & Explanation
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Submitted by tarun92· Mar 30, 2026Operationalizing machine learning models
Question
You work for a bank. You have a labelled dataset that contains information on already granted loan application and whether these applications have been defaulted. You have been asked to train a model to predict default rates for credit applicants. What should you do?
Options
- AIncrease the size of the dataset by collecting additional data.
- BTrain a linear regression to predict a credit default risk score.
- CRemove the bias from the data and collect applications that have been declined loans.
- DMatch loan applicants with their social profiles to enable feature engineering.
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Topics
#Predictive Modeling#Credit Risk#Supervised Learning#Machine Learning Models