You've recently implemented a pipeline within gcp video
ml-engineer-pro video for you've recently implemented a pipeline within Vertex AI Pipelines, which is responsible for training and deploying a model to a Vertex
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You've recently implemented a pipeline within Vertex AI Pipelines, which is responsible for training and deploying a model to a Vertex AI endpoint to serve real-time traffic. Your objective is to maintain an ongoing process of experimentation and iteration to enhance model performance. To facilitate this, you intend to employ Cloud Build for continuous integration and continuous deployment (CI/CD). Your ultimate goal is to efficiently and swiftly deploy new pipelines into production while minimizing the risk of potential disruptions to the existing production environment due to new pipeline implementations. What step should you take to achieve this?