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Google Professional Machine Learning Engineer

Google Professional Machine Learning Engineer

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You have successfully deployed a machine learning pipeline in Vertex AI Pipelines which trains and pushes a model to a Vertex AI endpoint for serving real-time traffic. As part of continuous improvement, you need to keep experimenting and iterating on your pipeline to enhance model performance. Additionally, you plan to utilize Cloud Build to set up a CI/CD (Continuous Integration/Continuous Deployment) process. Your main objectives are to efficiently deploy new pipeline versions into production while minimizing the risk of breaking existing functionalities in the production environment. What strategy should you adopt?

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