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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #54

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #54: Real Exam Question with Answer & Explanation

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Submitted by mateo_ar· Apr 18, 2026Monitoring, optimizing, and maintaining ML solutions

Question

Your team trained and tested a DNN regression model with good results. Six months after deployment, the model is performing poorly due to a change in the distribution of the input data. How should you address the input differences in production?

Options

  • ACreate alerts to monitor for skew, and retrain the model.
  • BPerform feature selection on the model, and retrain the model with fewer features.
  • CRetrain the model, and select an L2 regularization parameter with a hyperparameter tuning
  • DPerform feature selection on the model, and retrain the model on a monthly basis with fewer

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Topics

#Data drift#Model monitoring#Model retraining
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