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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #328

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #328: Real Exam Question with Answer & Explanation

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Submitted by mike_84· Apr 18, 2026ML model development

Question

You have developed a fraud detection model for a large financial institution using Vertex AI. The model achieves high accuracy, but the stakeholders are concerned about the model's potential for bias based on customer demographics. You have been asked to provide insights into the model's decision-making process and identify any fairness issues. What should you do?

Options

  • ACreate feature groups using Vertex AI Feature Store to segregate customer demographic features
  • BUse feature attribution in Vertex AI to analyze model predictions and the impact of each feature on
  • CEnable Vertex AI Model Monitoring to detect training-serving skew. Configure an alert to send an
  • DCompile a dataset of unfair predictions. Use Vertex AI Vector Search to identify similar data points

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Topics

#Model Explainability#AI Fairness#Feature Attribution#Vertex AI Explainable AI
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