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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #44

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #44: Real Exam Question with Answer & Explanation

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Submitted by devops_kid· Apr 18, 2026ML pipeline operationalization

Question

You are developing ML models with AI Platform for image segmentation on CT scans. You frequently update your model architectures based on the newest available research papers, and have to rerun training on the same dataset to benchmark their performance. You want to minimize computation costs and manual intervention while having version control for your code. What should you do?

Options

  • AUse Cloud Functions to identify changes to your code in Cloud Storage and trigger a retraining
  • BUse the gcloud command-line tool to submit training jobs on AI Platform when you update your
  • CUse Cloud Build linked with Cloud Source Repositories to trigger retraining when new code is
  • DCreate an automated workflow in Cloud Composer that runs daily and looks for changes in code

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Topics

#CI/CD#ML Pipelines#AI Platform Training#Version Control
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