PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #290
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #290: Real Exam Question with Answer & Explanation
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Question
You are creating an ML pipeline for data processing, model training, and model deployment that uses different Google Cloud services. You have developed code for each individual task, and you expect a high frequency of new files. You now need to create an orchestration layer on top of these tasks. You only want this orchestration pipeline to run if new files are present in your dataset in a Cloud Storage bucket. You also want to minimize the compute node costs. What should you do?
Options
- ACreate a pipeline in Vertex AI Pipelines. Configure the first step to compare the contents of the
- BCreate a Cloud Function that uses a Cloud Storage trigger and deploys a Cloud Composer
- CCreate a pipeline in Vertex AI Pipelines. Create a Cloud Function that uses a Cloud Storage
- DDeploy a Cloud Composer directed acyclic graph (DAG) with a GCSObjectUpdateSensor class
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