Google Professional Machine Learning Engineer
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Ultimate access to all questions.
You are the Director of Data Science at a large company. Your Data Science team has recently started using the Kubeflow Pipelines SDK to orchestrate their machine learning training pipelines on Kubernetes. However, they are facing difficulties in integrating their custom Python code with the Kubeflow Pipelines SDK. What approach would you recommend for quickly integrating the custom Python code with the Kubeflow Pipelines SDK?