Google Professional Machine Learning Engineer
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You have developed a regression model using tabular data and have set up a system using Vertex AI Pipelines, Vertex AI Training, Vertex AI Experiments, and Vertex AI Endpoints to train and deploy updated versions of the model. The model is currently deployed in a Vertex AI endpoint, and your users are making predictions by calling this endpoint. To ensure the model remains accurate, you need to monitor the feature data distribution and receive an email alert if it changes significantly, prompting you to retrigger the training pipeline and deploy an updated model. What should you do?
You have developed a regression model using tabular data and have set up a system using Vertex AI Pipelines, Vertex AI Training, Vertex AI Experiments, and Vertex AI Endpoints to train and deploy updated versions of the model. The model is currently deployed in a Vertex AI endpoint, and your users are making predictions by calling this endpoint. To ensure the model remains accurate, you need to monitor the feature data distribution and receive an email alert if it changes significantly, prompting you to retrigger the training pipeline and deploy an updated model. What should you do?
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