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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #298

You are tasked with building an MLOps pipeline to retrain tree-based models in production. The pipeline will include components related to data ingestion, data processing, model training, model…

The correct answer is B. Set up a Vertex AI Pipelines to orchestrate the MLOps pipeline. Use the predefined Dataproc. This approach minimizes infrastructure management effort by leveraging Vertex AI Pipelines, a managed service designed for orchestrating machine learning workflows, which simplifies pipeline management. By using the predefined Dataproc component, you can easily integrate…

Submitted by kwame.gh· Apr 18, 2026ML pipeline operationalization

Question

You are tasked with building an MLOps pipeline to retrain tree-based models in production. The pipeline will include components related to data ingestion, data processing, model training, model evaluation, and model deployment. Your organization primarily uses PySpark-based workloads for data preprocessing. You want to minimize infrastructure management effort. How should you set up the pipeline?

Options

  • ASet up a TensorFlow Extended (TFX) pipeline on Vertex AI Pipelines to orchestrate the MLOps
  • BSet up a Vertex AI Pipelines to orchestrate the MLOps pipeline. Use the predefined Dataproc
  • CSet up Kubeflow Pipelines on Google Kubernetes Engine to orchestrate the MLOps pipeline. Write
  • DSet up Cloud Composer to orchestrate the MLOps pipeline. Use Dataproc workflow templates for

How the community answered

(34 responses)
  • A
    12% (4)
  • B
    62% (21)
  • C
    6% (2)
  • D
    21% (7)

Explanation

This approach minimizes infrastructure management effort by leveraging Vertex AI Pipelines, a managed service designed for orchestrating machine learning workflows, which simplifies pipeline management. By using the predefined Dataproc component, you can easily integrate PySpark-based workloads running on Dataproc without the need to write custom components. This setup provides a scalable and efficient solution for orchestrating the entire MLOps pipeline, from data ingestion to deployment, with minimal manual intervention for infrastructure

Topics

#MLOps pipelines#Vertex AI Pipelines#Dataproc#Pipeline orchestration

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