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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #5
You need to design a customized deep neural network in Keras that will predict customer purchases based on their purchase history. You want to explore model performance using multiple model architectu
The correct answer is D. Create an experiment in Kubeflow Pipelines to organize multiple runs.. With Kubeflow Pipelines, you can create experiments that help you keep track of multiple training runs with different model architectures and hyperparameters.
Submitted by weili_xi· Apr 18, 2026ML pipeline operationalization
Question
You need to design a customized deep neural network in Keras that will predict customer purchases based on their purchase history. You want to explore model performance using multiple model architectures, store training data, and be able to compare the evaluation metrics in the same dashboard. What should you do?
Options
- ACreate multiple models using AutoML Tables.
- BAutomate multiple training runs using Cloud Composer.
- CRun multiple training jobs on AI Platform with similar job names.
- DCreate an experiment in Kubeflow Pipelines to organize multiple runs.
How the community answered
(38 responses)- A5% (2)
- B3% (1)
- C11% (4)
- D82% (31)
Explanation
With Kubeflow Pipelines, you can create experiments that help you keep track of multiple training runs with different model architectures and hyperparameters.
Topics
#Kubeflow Pipelines#ML Experimentation#Experiment Tracking#MLOps
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