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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #97
You are a lead ML engineer at a retail company. You want to track and manage ML metadata in a centralized way so that your team can have reproducible experiments by generating artifacts. Which managem
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Submitted by deeparc· Apr 18, 2026ML pipeline operationalization
Question
You are a lead ML engineer at a retail company. You want to track and manage ML metadata in a centralized way so that your team can have reproducible experiments by generating artifacts. Which management solution should you recommend to your team?
Options
- AStore your tf.logging data in BigQuery.
- BManage all relational entities in the Hive Metastore.
- CStore all ML metadata in Google Cloud's operations suite.
- DManage your ML workflows with Vertex ML Metadata.
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Topics
#ML Metadata Management#MLOps#Reproducible Experiments#Vertex AI