Google Professional Machine Learning Engineer
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You have deployed a customer churn prediction model to a Vertex AI endpoint. After several weeks, the model's performance, as measured by the AUC, has significantly declined compared to its training evaluation. What steps should you take to diagnose this issue?
A
Monitor the training/serving skew of feature values for requests sent to the endpoint.
B
Monitor the resource utilization of the endpoint, such as CPU and memory usage, to identify potential bottlenecks in performance.
C
Enable Vertex Explainable AI feature attribution to analyze model predictions and understand the impact of each feature on the model's predictions.
D
Monitor the latency of the endpoint to determine whether predictions are being served within the expected time frame.