Google Professional Machine Learning Engineer
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In the context of developing a Kubeflow pipeline on Google Kubernetes Engine, you are tasked with issuing a query against BigQuery as the initial step and using its results as the input for the subsequent step. Considering the need for efficiency, reusability, and minimal setup complexity, which of the following approaches is the most straightforward and aligns with best practices for Kubeflow pipeline development? (Choose one correct option)
Explanation:
The correct answer is D because utilizing the pre-existing BigQuery Query Component from the Kubeflow Pipelines GitHub repository is the most efficient and straightforward method. This approach minimizes development effort, ensures reusability, and adheres to the principle of leveraging existing components for common tasks within Kubeflow pipelines. It abstracts away the need for custom script development or manual intervention, streamlining the pipeline setup process.