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You are managing a production Vertex AI model and want to automatically trigger retraining when model performance degrades. What should you do?
A
Create a Vertex AI Model Monitoring job to track the model's performance with production data, and trigger retraining when specific metrics drop below predefined thresholds.
B
Collect feedback from end users, and retrain the model based on their assessment of its performance.
C
Configure a scheduled job to evaluate the model's performance on a static dataset, and retrain the model if the performance drops below predefined thresholds.
D
Use Vertex Explainable AI to analyze feature attributions and identify potential biases in the model. Retrain when significant shifts in feature importance or biases are detected.