Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
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An enterprise machine learning team has defined an automated model retraining workflow using the Kubeflow Pipelines (KFP) SDK and compiled the pipeline specification into a YAML file stored in Cloud Storage.
The team wants to implement an event-driven architecture that triggers a new Vertex AI Pipeline execution whenever upstream data ingestion completes. The data ingestion service publishes a notification containing dynamic runtime parameter values.
Which architecture should you implement to trigger the Vertex AI Pipeline?
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