Topic 1 Question 192
Your team has a model deployed to a Vertex AI endpoint. You have created a Vertex AI pipeline that automates the model training process and is triggered by a Cloud Function. You need to prioritize keeping the model up-to-date, but also minimize retraining costs. How should you configure retraining?
Configure Pub/Sub to call the Cloud Function when a sufficient amount of new data becomes available
Configure a Cloud Scheduler job that calls the Cloud Function at a predetermined frequency that fits your team’s budget
Enable model monitoring on the Vertex AI endpoint. Configure Pub/Sub to call the Cloud Function when anomalies are detected
Enable model monitoring on the Vertex AI endpoint. Configure Pub/Sub to call the Cloud Function when feature drift is detected
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コメント(2)
- 正解だと思う選択肢: D
feature drifting detecting to trigger retraining
👍 1winston92024/01/11 - 正解だと思う選択肢: D
It proactively triggers retraining when feature drift is detected, ensuring the model adapts to changing data patterns and maintains accuracy.
👍 1pikachu0072024/01/12
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