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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #203
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 kee
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Submitted by femi9· Apr 18, 2026Monitoring, optimizing, and maintaining ML solutions
Question
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?
Options
- AConfigure Pub/Sub to call the Cloud Function when a sufficient amount of new data becomes
- BConfigure a Cloud Scheduler job that calls the Cloud Function at a predetermined frequency that
- CEnable model monitoring on the Vertex AI endpoint. Configure Pub/Sub to call the Cloud Function
- DEnable model monitoring on the Vertex AI endpoint. Configure Pub/Sub to call the Cloud Function
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Topics
#Vertex AI#Model Monitoring#Retraining Strategy#Cost Optimization