PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #328
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
The correct answer is B. Use feature attribution in Vertex AI to analyze model predictions and the impact of each feature on. Feature attribution in Vertex AI (using tools like SHAP or integrated gradients) provides transparency into which features most influence the model’s predictions. This helps identify whether demographic features are contributing disproportionately, which is essential for detectin
Question
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
How the community answered
(62 responses)- A15% (9)
- B71% (44)
- C5% (3)
- D10% (6)
Explanation
Feature attribution in Vertex AI (using tools like SHAP or integrated gradients) provides transparency into which features most influence the model’s predictions. This helps identify whether demographic features are contributing disproportionately, which is essential for detecting and addressing fairness concerns. It aligns with stakeholder needs for explainability and bias
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