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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #136

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #136: Real Exam Question with Answer & Explanation

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Submitted by hans_de· Apr 18, 2026ML pipeline operationalization

Question

You manage a team of data scientists who use a cloud-based backend system to submit training jobs. This system has become very difficult to administer, and you want to use a managed service instead. The data scientists you work with use many different frameworks, including Keras, PyTorch, theano, scikit-learn, and custom libraries. What should you do?

Options

  • AUse the Vertex AI Training to submit training jobs using any framework.
  • BConfigure Kubeflow to run on Google Kubernetes Engine and submit training jobs through TFJob.
  • CCreate a library of VM images on Compute Engine, and publish these images on a centralized
  • DSet up Slurm workload manager to receive jobs that can be scheduled to run on your cloud

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Topics

#Vertex AI Training#Managed ML Services#Custom Training Jobs#Diverse ML Frameworks
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