You are tasked with developing a Kubeflow pipeline on Google Kubernetes Engine (GKE) for a machine learning project. The pipeline's initial step requires querying a large dataset stored in BigQuery, with the results to be used as input for subsequent steps. The project has tight deadlines, and you need to ensure the solution is cost-effective, scalable, and minimizes manual intervention. Given these constraints, what is the most efficient method to integrate BigQuery query execution into your Kubeflow pipeline? Choose the best option. | Google Professional Machine Learning Engineer Quiz