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PROFESSIONAL-DATA-ENGINEER · Question #27
PROFESSIONAL-DATA-ENGINEER Question #27: Real Exam Question with Answer & Explanation
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Submitted by akirajp· Mar 30, 2026Building and operationalizing data processing systems
Question
You are building a model to predict whether or not it will rain on a given day. You have thousands of input features and want to see if you can improve training speed by removing some features while having a minimum effect on model accuracy. What can you do?
Options
- AEliminate features that are highly correlated to the output labels.
- BCombine highly co-dependent features into one representative feature.
- CInstead of feeding in each feature individually, average their values in batches of 3.
- DRemove the features that have null values for more than 50% of the training records.
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Topics
#Feature Engineering#Dimensionality Reduction#Model Optimization#Data Preprocessing